Mert Gülüm | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mert Gülüm | Engineering | Best Researcher Award

Karadeniz Technical University | Turkey

Assoc. Prof. Dr. Mert Gülüm is a leading researcher in alternative fuels, combustion, and thermophysical properties of fluids, with a prolific scholarly record of 32 documents, 931 citations, and an h-index of 18. His research focuses on diesel engines, bio-derived and hybrid fuels, nanofluids, and advanced modeling techniques to optimize fuel performance, combustion, and emission characteristics. Key contributions include studies on hydrogen use in diesel engines, viscosity-temperature modeling of alternative fuel blends, thermophysical analysis of nanofluids, and transesterification optimization of waste cooking oil for biodiesel production. His work has been published in top SCIE and ESCI journals, reflecting rigorous experimental, computational, and numerical approaches. With 644 documents contributing to his citation impact, Dr. Gülüm has significantly advanced knowledge in sustainable energy, fluid dynamics, and thermal analysis, offering practical insights for improving engine efficiency and developing environmentally friendly fuel technologies. His research continues to influence propulsion, energy, and environmental engineering communities worldwide.

 

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Featured Publications

Mathematical Correlations for Variation in Heat Release Rate of a Diesel Engine Fuelled with n-Octanol Blends
– Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2023

Olivier Delodji | Energy | Research Excellence Award

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Mr. Olivier Delodji | Energy | Research Excellence Award

China University of Geosciences Faculty of Earth Resources | China

Mr. Olivier Delodji’s research focuses on numerical simulation and computational modeling applied to energy systems, with particular emphasis on CO₂-enhanced oil recovery (CO₂-EOR) and CO₂ sequestration in shale oil reservoirs. The current scholarly record includes 1 peer-reviewed journal article, published in Results in Engineering (2025), addressing coupled flow and storage mechanisms relevant to carbon management and unconventional reservoirs. Research activities demonstrate engagement with advanced simulation techniques, subsurface energy engineering, and sustainability-oriented geoscience applications. Scholarly development is further supported through active participation in international workshops, academic forums, and symposia on energy management, unconventional resources, and China–Africa geoscience cooperation. Overall, the research trajectory highlights a strong foundation in numerical modeling, interdisciplinary collaboration, and contribution to carbon sequestration and energy transition research.

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Featured Publication

Raziyeh Erfanifar | Mathematics | Research Excellence Award

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Dr. Raziyeh Erfanifar | Mathematics | Research Excellence Award

Shahid Beheshti University | Iran

Dr. Raziyeh Erfanifar is a researcher in applied mathematics and computational engineering whose work centers on high-order iterative methods, nonlinear equations, matrix and tensor computations, and their applications in control theory, signal processing, image processing, data mining, and fractional calculus. The research contributions emphasize the development of efficient, inversion-free, and high-convergence iterative algorithms for solving nonlinear systems, algebraic Riccati equations, nonlinear matrix and tensor equations, and computing Moore–Penrose and Drazin inverses. A significant portion of the work advances fixed-point theory, weight-splitting strategies, Newton-type schemes, and parametric multi-step methods, with rigorous convergence analysis and efficiency evaluation. These methods have been successfully applied to problems in electrical engineering, vibration and control systems, differential equations, tensor equations with Einstein products, data whitening, and numerical simulation. The scholarly output includes 36 peer-reviewed journal articles published in leading journals such as Journal of the Franklin Institute, Journal of Complexity, Computational and Applied Mathematics, Circuits, Systems, and Signal Processing, Applied Numerical Mathematics, and Engineering Computations. According to Google Scholar metrics, this body of work has received 274 citations, with an h-index of 11 and an i10-index of 11, reflecting sustained impact and strong visibility in numerical analysis, computational mathematics, and engineering applications.

 

Citation Metrics (Google Scholar)

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274

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Featured Publications

Several efficient iterative algorithms for solving nonlinear tensor equation
X + AT*N X−1*N A = I with Einstein product
– Computational and Applied Mathematics, 2024

Splitting iteration methods to solve non-symmetric algebraic Riccati matrix equation
YAY − YB − CY + D = 0
– Numerical Algorithms, 2023

Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Taylor's University | Malaysia

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran is an accomplished researcher and academic specializing in Artificial Intelligence, with a strong focus on agent-based systems, intelligent autonomous systems, machine learning applications, smart energy systems, and climate change–related digital intelligence. Her scholarly impact is reflected in an h-index of 16, with 70 research documents generating 899 citations across international indexing platforms, demonstrating sustained influence in AI-driven and interdisciplinary research domains. Her work spans collective intelligence, knowledge transfer models, data mining, educational technologies, and intelligent digitalization, with publications appearing in IEEE conferences, international journals, and Springer book chapters. In addition to academic publishing, she has led significant intellectual property initiatives, including a granted patent on cooperative control systems for unmanned aerial platforms, utility innovations in autonomous multi-UAV task allocation, and copyrighted micro-credential programs. Her research excellence has been recognized through multiple prestigious awards, including international science communication accolades, industry research honors, and selection for global digital leadership programs. With over two decades of academic engagement and active research contributions, her profile reflects a strong integration of theoretical innovation, applied intelligence systems, and impactful scholarly dissemination across AI, energy, education, and digital transformation domains.

Citation Metrics (Scopus)

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Featured Publications

Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks
– International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR, 2021

 

Bo Zhang | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Bo Zhang | Computer Science | Research Excellence Award

Northwest Polytechnic University | China

Assoc. Prof. Dr. Bo Zhang is an accomplished researcher whose work spans remote sensing, geospatial intelligence, environmental monitoring, and machine learning–driven Earth observation analytics. With 252 citations,  an h-index of 7, and 5, i10-index publications, his scholarly contributions demonstrate a growing and impactful presence in environmental data science. His research advances high-resolution satellite image processing, atmospheric pollutant estimation, digital elevation model reconstruction, and intelligent geospatial mapping. He has produced notable work on transfer learning–enhanced remote sensing, sparse-sample super-resolution mapping, neural-network–based PMx estimation, land surface temperature retrieval, and ozone concentration modeling. His publications in leading journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Science Bulletin, Remote Sensing, and Indoor and Built Environment highlight his expertise in integrating artificial intelligence with satellite observations to address environmental challenges. His research also contributes to epidemiological spatial analysis and geospatial data fusion, offering multidisciplinary value in Earth system science. Through continuous work on novel algorithms and high-fidelity environmental datasets, he has strengthened the scientific foundation for climate monitoring, pollution assessment, and large-scale geospatial modeling, positioning him as a significant contributor to advanced remote sensing and environmental informatics.

Profile : Scopus | Orcid | Google Scholar

Featured Publications

Yang, C., Zhang, B., Zhang, M., Wang, Q., & Zhu, P. (2025). Research on decision-making strategies for multi-agent UAVs in island missions based on Rainbow Fusion MADDPG algorithm. Drones, 9(10), 673.

Zhang, B., Shi, Z., Hong, D., Wang, Q., Yang, J., Ren, H., & Zhang, M. (2025). Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset. Geo-Spatial Information Science, 1–21.


Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., & others. (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530.


Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for road-network extraction from VHR remote sensing images using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.


Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646.


Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661.

Zhang Zhenqian | Neuroscience | Best Researcher Award

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Mr. Zhang Zhenqian | Neuroscience | Best Researcher Award

University of Toyama | Japan

Mr. Zhang Zhenqian is a dedicated researcher whose work bridges artificial intelligence, machine learning, and meteorology, with an emphasis on developing advanced neural network models for predictive analytics. His recent publication, “RD2: Reconstructing the Residual Sequence via Under Decomposing and Dendritic Learning for Generalized Time Series Predictions,” featured in Neurocomputing (October 2025), showcases his innovative approach to enhancing time series forecasting accuracy through the integration of dendritic learning mechanisms and residual sequence reconstruction. Collaborating with Houtian He, Zhenyu Lei, Zihang Zhang, and Shangce Gao, Mr. Zhang contributes to advancing the computational intelligence field by addressing challenges in dynamic data modeling and predictive reliability. His research explores the intersection of data-driven modeling and environmental systems, offering valuable insights for improving real-world forecasting, particularly in meteorological and environmental applications. With a growing scholarly presence and contributions recognized through peer-reviewed international publications, Mr. Zhang exemplifies a new generation of researchers committed to interdisciplinary innovation. His work not only strengthens the theoretical foundations of artificial intelligence but also demonstrates its transformative potential in understanding and managing complex natural and engineered systems.

Profile : Orcid

Featured Publication

Zhang, Z., He, H., Lei, Z., Zhang, Z., & Gao, S. (2025). RD2: Reconstructing the residual sequence via under decomposing and dendritic learning for generalized time series predictions. Neurocomputing, 131867.

Aya Chelh | Energy | Best Researcher Award

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Dr. Aya Chelh | Energy | Best Researcher Award

Mohammed V University | Morocco

Dr. Aya Chelh is a PhD candidate in Materials Science at University Mohammed V, Rabat, specializing in first-principles computational modeling with expertise in density functional theory (DFT). Her research focuses on investigating structural, electronic, optical, thermoelectric, and hydrogen storage properties of advanced materials, with applications in photovoltaics, spintronics, and sustainable energy technologies. She has contributed significantly to the field through publications in reputed journals such as International Journal of Computational Materials Science and Engineering, Journal of Physics and Chemistry of Solids, Solid State Communications, and Advanced Theory and Simulations. Her studies provide valuable insights into optoelectronic, photocatalytic, and thermodynamic behaviors of perovskites, phosphides, and doped oxides, contributing to renewable energy innovations. With presentations at national and international conferences, Dr. Chelh has actively disseminated her findings to the academic community. She has authored six peer-reviewed journal articles, garnering 25 citations, with an h-index of 3, reflecting the growing impact of her research in computational materials science. Beyond her academic achievements, she has also collaborated on interdisciplinary projects bridging theoretical modeling with experimental synthesis and characterization. Through her innovative work, Dr. Chelh continues to advance sustainable materials design, supporting the global shift toward renewable energy and environmentally friendly technologies.

Profiles : Orcid | Google Scholar

Featured Publications

"DFT investigation of the structural, optoelectronic, thermoelectric, and thermodynamic properties of metal phosphides MP2 (M= Co, Rh, and Ir)"

"First-principles calculations to investigate photovoltaic, photocatalytic, and spintronic properties of Fe-doped and alloyed MgSiO3 perovskite"

"Ab-initio study of the structural, electronic, optical, and thermoelectric properties of chalcogenide-doped Sr2UZnO6"

"First-Principles Study of the Stability, Physical Properties, and Molecular Dynamics in KSrZH6 (Z= Rh, Ir) for Hydrogen Storage Applications"

"Impact of complete sulfur substitution by selenium and tellurium on the structural, electronic, optical, and photocatalytic properties of CaAl2S4: A DFT investigation"

"Compressive strain effects on the photocatalytic and optoelectronic properties of CsInBr3 for efficient hydrogen production: A DFT study"

Rocío Mingorance | Chemical Engineering | Best Research Award

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Mrs. Rocío Mingorance | Chemical Engineering | Best Research Award

Ikerlan Technology Research Center | Spain

Author Profile

Orcid

Early Academic Pursuits

Mrs. Rocío Mingorance began her academic journey with a strong foundation in chemical engineering from the University of Granada, where she developed expertise in process engineering and industrial systems. Her educational path expanded with a master’s degree in industrial maintenance engineering from the University of Huelva, which enriched her technical and managerial skills in plant operations and system reliability. Continuing her pursuit of advanced research, she enrolled in a doctoral program in naval and industrial engineering at the University of Coruña in collaboration with the Ikerlan Technology Research Center, where her focus lies on the development of digital twins for process plants.

Professional Endeavors

Her professional career reflects a steady progression through diverse engineering and industrial roles. Beginning with junior engineering positions in thermosolar power plants, she gained hands-on experience in thermal balances, plant operations, and preventive maintenance. Over the years, she expanded her portfolio through roles in research, consultancy, and control room operations, working with leading companies such as Abengoa, Birchman Consulting, Grupo Cosentino, and Marquesado Solar. Currently, she serves as a thermal engineer and algorithms manager at Sunntics, where she leads the design and implementation of advanced thermal control systems to optimize concentrated solar power plants.

Contributions and Research Focus

Mrs. Mingorance’s research and technical contributions have centered on advancing renewable energy technologies, thermal engineering, and digital solutions for industrial systems. Her expertise in developing and applying thermal models for heat and mass transfer has contributed significantly to improving system performance under standard and unexpected conditions. She has also pioneered work on digital twins, offering innovative methodologies to enhance operational strategies and resilience in manufacturing and energy plants. Her publications highlight her contribution to bridging traditional engineering with modern computational tools.

Accolades and Recognition

Her research and professional achievements have been recognized through publications in reputed international journals and conferences. Notably, her work on the evolution of digital twin solutions was presented at the IEEE Smart World Congress, reflecting her standing in the global research community. In addition, her continued contributions to the field of industrial and thermal engineering have positioned her as a promising scholar and professional in advancing sustainable and technologically driven energy solutions.

Impact and Influence

Through her interdisciplinary expertise, Mrs. Mingorance has influenced both industrial practices and academic research. Her ability to integrate advanced modeling techniques with real-world plant operations has enhanced the reliability, efficiency, and safety of thermal and renewable energy systems. Her contributions extend beyond direct applications, inspiring new approaches in engineering education, collaborative industry research, and the adoption of digital innovations in traditional sectors.

Legacy and Future Contributions

Looking forward, Mrs. Mingorance’s ongoing doctoral research in digital twins for process plants is expected to leave a lasting legacy in the field of industrial and naval engineering. By combining her strong background in thermal sciences with cutting-edge computational techniques, she is poised to contribute transformative solutions that support sustainability, automation, and resilience in complex industrial systems. Her career trajectory suggests continued advancements that will influence both academia and industry in the years to come.

Publications

  • Title: A methodology leveraging digital twins to enhance the operational strategy of manufacturing plants in unexpected scenarios

  • Authors: Rocío Mingorance, Diego Crespo Pereira, Jone Uribetxebarria, Urko Leturiondo

  • Journal: Results in Engineering

  • Year: 2025

  • Title: Evolution of Digital Twin solutions in the manufacturing industry

  • Authors: Rocío Mingorance, Diego Crespo Pereira, Jone Uribetxebarria, Urko Leturiondo

  • Journal/Conference: Proceedings of the 2023 IEEE Smart World Congress (SWC)

  • Year: 2023

Conclusion

Mrs. Rocío Mingorance exemplifies the synergy between engineering practice and academic research. With a solid educational foundation, diverse professional experiences, and impactful research contributions, she stands as a leading figure in renewable energy and digital innovation. Her work continues to shape sustainable industrial practices and drive the integration of advanced technologies in energy systems, reflecting a career dedicated to both excellence and progress.

 

Mehrtash Eskandaripour | Engineering | Best Researcher Award

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Dr. Mehrtash Eskandaripour | Engineering | Best Researcher Award

University of Isfahan | Iran

Author Profile

Scopus

🌊 Early Academic Pursuits

Dr. Mehrtash Eskandaripour embarked on his academic journey with a strong foundation in Civil Engineering, earning his Bachelor's degree from Islamic Azad University of Khomeynishahr. His passion for water resource management led him to pursue a Master's degree at Isfahan University of Technology, where he focused on designing Low Impact Development (LID) systems for urban runoff pollution control. Currently, as a Ph.D. candidate at the University of Isfahan, he is delving into the intricate dynamics of the Water-Energy NEXUS, applying advanced quantitative-qualitative modeling approaches to optimize water distribution networks.

🏗️ Professional Endeavors

Beyond academia, Dr. Eskandaripour has played a pivotal role in the engineering sector. As a civil engineering supervisor, he has overseen the structural integrity of over 50 buildings, ensuring sustainable and efficient construction practices. His leadership extends to the Iranian Organization for Building Engineering Codes, where he has managed an engineering department, fostering innovation and adherence to industry standards.

🔬 Contributions and Research Focus

With a research portfolio spanning water quality, climate change, drought management, and urban hydrology, Dr. Eskandaripour has significantly contributed to water sustainability. His studies on optimizing water distribution networks and mitigating urban runoff pollution through advanced simulation and optimization algorithms have provided actionable insights for urban planners and environmental policymakers. His work on the hidden threats of heavy metal leaching in urban environments highlights his commitment to ecological and public health risk assessment.

🏆 Accolades and Recognition

Dr. Eskandaripour’s dedication has been recognized through numerous prestigious awards. He has won multiple national and international congresses on civil engineering, urban planning, and environmental sustainability. His research excellence is reflected in publications in esteemed journals such as Heliyon, Urban Climate, and Environmental Research, further establishing his reputation as a thought leader in water resource management.

🌍 Impact and Influence

As an educator and mentor, Dr. Eskandaripour has contributed to shaping the next generation of engineers. His teaching experience at the University of Isfahan and Isfahan University of Technology has equipped students with expertise in water distribution network modeling and hydrology. His involvement in professional workshops and certification programs showcases his commitment to continuous learning and knowledge dissemination.

🔮 Legacy and Future Contributions

With a vision to revolutionize water sustainability, Dr. Eskandaripour continues to push the boundaries of research in water-energy interactions, smart urban water systems, and risk mitigation strategies. His future contributions promise to advance sustainable water management solutions, addressing global challenges such as climate change, resource scarcity, and environmental resilience.

 

Publications

📝 Maximizing Efficiency and Performance of Water Distribution Systems through the Implementation of Optimization Algorithms: A Comprehensive Analysis of Valve and Chlorine Booster Placement and Management
✍️ Authors: Najarzadegan, M., Eskandaripour, M.
📖 Journal: Heliyon
📆 Year: 2025

📝 Optimal Low-Impact Development Facility Design in Urban Environments: A Multidimensional Optimization Approach Employing Slime Mould and Nondominated Sorting Genetic Algorithms
Authors: Eskandaripour, M., Soltaninia, S.
Journal: Urban Climate
Year: 2024

📝 The Hidden Threat of Heavy Metal Leaching in Urban Runoff: Investigating the Long-Term Consequences of Land Use Changes on Human Health Risk Exposure
Authors: Soltaninia, S., Eskandaripour, M., Ahmadi, Z., Ahmadi, S., Eslamian, S.
Journal: Environmental Research
Year: 2024

📝  Optimization of Low-Impact Development Facilities in Urban Areas Using Slime Mould Algorithm
Authors: Eskandaripour, M., Golmohammadi, M. H., & Soltaninia, S.
Journal: Sustainable Cities and Society
Year: 2023

📝 Analyzing Drought Duration Frequency and Severity Using Copula Function in the Yazd City
Authors: Eskandaripour, M., Soltaninia, S.
Journal: Journal of Water and Climate Change
Year: 2022

 

Caiming Zhang | Decision Sciences | Best Researcher Award

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Prof. Caiming Zhang | Decision Sciences | Best Researcher Award

China University of Labor Relations | China

Author profile

Scopus

Orcid

🌱 Early Academic Pursuits

Prof. Caiming Zhang's educational journey showcases his steadfast dedication to Industrial Economics and Management. He began with a Bachelor of Engineering from Nanchang University in 1998, followed by a Master of Management from Beijing University of Technology in 2001. His academic ambition culminated in a Ph.D. in Industrial Economics from Beijing Jiaotong University in 2008. These formative years laid the foundation for his future contributions to academia and industry.

🏛️ Professional Endeavors

Prof. Zhang's career trajectory reflects a seamless integration of academic leadership and industry innovation. As the Dean of the School of Labor Relations and Human Resources at China University of Labor Relations, he continues to guide the next generation of thinkers. His prior roles as Vice Dean and Director within the same institution underscore his impactful leadership. Beyond academia, Prof. Zhang is the Founder and President of Beijing Dimensional Insight Inc., a hub for cutting-edge research in big data and business intelligence, showcasing his entrepreneurial spirit and technical expertise.

🔬 Contributions and Research Focus

Prof. Zhang’s research encompasses pivotal areas such as big data, artificial intelligence, and Industry 4.0. His work has been recognized globally through publications in esteemed journals like Journal of Industrial Information Integration and Information Systems Frontiers. His patents, including innovative methods for big data analysis, highlight his contributions to technological advancement. Furthermore, his hosting of national research projects and development of big data systems for institutions like Beijing Metro Commission and Hebei Hospitals reflect his commitment to practical applications of research.

🏅 Accolades and Recognition

Prof. Zhang’s contributions have earned numerous accolades. Among them are awards for groundbreaking research in artificial intelligence and educational excellence. His paper on AI prospects won the Third Award at the 16th Scientific Research Achievements in China University of Labor Relations. He has also been recognized for innovative curriculum design, securing prestigious teaching awards. As a Senior Member of IEEE and the Chinese Society of Technology Economics, his influence extends across academic and professional spheres.

🌍 Impact and Influence

As a visiting scholar at Old Dominion University and a sought-after speaker at international conferences, Prof. Zhang has brought Chinese academic insights to the global stage. His research on topics like the economic impact of AI and blockchain technology not only advances knowledge but also addresses contemporary industry challenges. Through his mentorship of graduate students and leadership in research, he has shaped the academic and professional paths of countless individuals.

🌟 Legacy and Future Contributions

Prof. Zhang's enduring legacy lies in his ability to bridge the gap between theory and practice. His work in advancing big data applications, combined with his passion for education and innovation, promises a future where technology continues to drive societal progress. As he leads projects on intelligent education and big data decision-making, Prof. Zhang remains a beacon of inspiration, paving the way for breakthroughs in both academia and industry.

 

Publications

📝 The Impact of Generative AI on Management Innovation

  • Author: Zhang, C., Zhang, H.
  • Journal: Journal of Industrial Information Integration
  • Year: 2025

📝 A Dynamic Attributes-driven Graph Attention Network Modeling on Behavioral Finance for Stock Prediction

  • Author: Zhang, Q., Zhang, Y., Yao, X., Zhang, C., Liu, P.
  • Journal: ACM Transactions on Knowledge Discovery from Data
  • Year: 2023

📝 Acquisition and Cognition Information of Human Body Swing

  • Author: Fan, J.-F., Sigov, A., Ratkin, L., Chen, S.-W., Zhang, C.-M.
  • Journal: Journal of Industrial Information Integration
  • Year: 2022

📝 A Literature Review of Social Commerce Research from a Systems Thinking Perspective

  • Author: Wang, X., Wang, H., Zhang, C.
  • Journal: Systems
  • Year: 2022

📝 Study on the Interaction Between Big Data and Artificial Intelligence

  • Author: Li, J., Ye, Z., Zhang, C.
  • Journal: Systems Research and Behavioral Science
  • Year: 2022