Weihua Gong | Learning & Development | Research Excellence Award

Prof. Dr. Weihua Gong | Learning & Development | Research Excellence Award

Chief Physician & Professor | The University of Zhejiang University School of Medicine | China

Prof. Dr. Weihua Gong is a leading researcher in transplant immunology, gastrointestinal surgery, and cancer biology, with a strong focus on immune regulation, cytokine signaling, and translational medicine. His research integrates basic immunology with clinical applications to improve outcomes in solid organ transplantation, hepatocellular carcinoma, gastric cancer, and inflammatory diseases. He has made influential contributions to understanding myeloid-derived suppressor cells, regulatory T cells, IL-6 signaling, autophagy, and immune–tumor interactions, advancing both therapeutic strategies and biomarker development. His work bridges experimental models and clinical practice, emphasizing precision immunotherapy and organ protection mechanisms. Prof. Gong has authored 106 scientific documents, accumulating 1,519 citations, with an h-index of 18, reflecting sustained impact across immunology, oncology, and transplant medicine. His publications appear in high-quality international journals, contributing to the global advancement of immune-based diagnostics and therapies in complex surgical and transplant settings.

Zhenhua Wu | Learning & Development | Excellence in Research Award

Assoc. Prof. Dr Zhenhua Wu | Learning & Development | Excellence in Research Award

Associate head of the department of education technology | The University of Shanghai Normal University | China

Assoc. Prof. Dr. Zhenhua Wu’s research focuses on the integration of artificial intelligence in education and STEM education, with particular emphasis on learning engagement, generative AI–supported inquiry-based learning, and early literacy development. His scholarly work advances theoretical and practical understanding of human collaborative learning environments and data informed educational design. Through rigorous empirical studies and design-based research, his publications contribute to improving instructional effectiveness, learner participation, and technology-enhanced pedagogy across school and higher education contexts. His research outputs include 8 peer reviewed academic documents, accumulating 23 citations with an h-index of 3, reflecting growing scholarly impact in the field of educational technology. His work has appeared in internationally recognized journals such as Interactive Learning Environments, Australasian Journal of Educational Technology, Research in Science Education, Education and Information Technologies, and Computer Assisted Language Learning. Overall, his research contributes to advancing evidence based innovation and sustainable development in AI enabled education and  learning systems.

Citation Metrics (Scopus)

30

20

10

0

Citations
23

Documents
8

h-index
3


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