Chao Liu | Graph Neural Networks | Research Excellence Award

Published on by Network Science

Mr. Chao Liu | Graph Neural Networks | Research Excellence Award

China University of Geosciences | China

Mr. Chao Liu is an active researcher in computer science with a strong focus on knowledge graphs, natural language processing, and big data analysis, particularly in the context of graph neural networks (GNNs). He has authored 33 scholarly documents that have attracted 492 citations across 488 citing publications, reflecting a high level of visibility and influence within the research community. With an h-index of 11, his work demonstrates consistent academic impact, especially in large-scale graph learning and data-driven intelligence. His recent contributions explore fundamental challenges in sampling-based large-scale GNNs, examining the relative roles of sampling strategies versus iterative computation for improving scalability and performance. Notably, his 2026 journal article in Neurocomputing, titled “Which plays a key role in sampling-based large-scale GNNs, sampling or iteration?”, provides important theoretical and empirical insights into efficient GNN design. Overall, his research advances scalable machine learning methods for complex, data-intensive systems.

Citation Metrics (Scopus)

600
450
300
0

Citations
492

Documents
33

h-index
11


View Scopus Profile

Featured Publications

Sayyed Majid mazinani – Graph Neural Networks – Best Researcher Award

Published on by Network Science

Sayyed Majid mazinani – Graph Neural Networks – Best Researcher Award

Assoc Prof Dr. Sayyed Majid Mazinani distinguished academic and researcher in the field Graph Neural Network.

Dr. Sayyed Majid Mazinani appears highly suitable for the Research for Best Researcher Award based on his extensive academic and research background.

🌐 Professional Profile

Educations📚📚📚

  • Ph.D. in Electrical Engineering Telecommunications from Ferdowsi University, Iran, specializing in Wireless Sensor Networks (WSN).
  • MSc in Electrical Engineering Telecommunications and BSc in Electrical Engineering Electronics, showcasing a solid educational foundation in his field.

Research Interests

  • Focus areas include Computer Networks, Wireless Sensor Networks, Data Communication Networks, and Artificial Intelligence Algorithms Applications. These are critical and contemporary fields in network science and graph analytics.

Teaching Experience

  • Significant teaching experience at both undergraduate and graduate levels in courses like Data Communication, Computer Networks, Wireless Sensor Networks, and Artificial Neural Networks.

Awards and Achievements

  • Provisionally selected for the “Best Researcher Award” at the 2024 International Research Award for Excellence in Network Protocols, Technology, and Communication.
  • Recognized as the Top Professor Researcher at Imam Reza International University in 2019 and 2020.
  • Received Best Paper awards at various national and international conferences.

📝🔬Publications📝🔬