Mr. Cunqian You | Multi-Modal | Best Academic Researcher Award

Mr. Cunqian You | Multi-Modal | Best Academic Researcher Award

Deputy Director | China Jiliang University | China

Mr. Cunqian You is a senior academic and technology leader specializing in computing infrastructure, artificial intelligence deployment, and digital ecosystem innovation. His research and applied work focus on AI-driven systems, research management, and standardization within large institutional environments. He has contributed to national and institutional AI initiatives, advanced laboratory development, and interdisciplinary, industry-linked projects with measurable outcomes. His scholarly output includes 7 journal publications, 2 patents, and 4 indexed research documents. According to Scopus and Google Scholar metrics, his work has received 13 citations with an h-index of 2, reflecting consistent research impact. He is also an active contributor to international AI standardization efforts, including Generative AI standards and IEEE P2895.

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Mr. Rohit Kumar | Advanced Materials | Research Excellence Award

Mr. Rohit Kumar | Advanced Materials | Research Excellence Award

Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences | China

Rohit Kumar is an environmental science researcher specializing in water treatment, contaminant transformation, and advanced material-based remediation technologies. His research focuses on adsorption, oxidation, and interfacial reaction mechanisms of toxic elements such as antimony, arsenic, and boron using mineral facets, metal–organic frameworks, and catalytic materials. He applies spectroscopic techniques, density functional theory, and material synthesis to understand environmental transformation processes at the molecular level. His scholarly output demonstrates growing academic impact, with Scopus indexing reflecting 9 research documents, 18 citations, and an h-index of 2, alongside visibility on Google Scholar, highlighting his emerging contribution to environmental remediation science and sustainable water technologies.

Citation Metrics (Scopus)

25

20

15

10

5

0

 

Citations
18

Documents
9

h-index
2
             🟦 Citations    🟥 Documents    🟩 h-index


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Assoc. Prof. Dr. Pu Yuan | Uniaxial Compression | Research Excellence Award

Assoc. Prof. Dr. Pu Yuan | Uniaxial Compression | Research Excellence Award

Associate Professor | Anhui University of Science and Technology | China

Pu Yuan is an academic researcher specializing in rock mechanics and numerical simulation, with a strong focus on the monitoring and control of blasting vibration and the mechanical behavior of deep rock mass systems. His research emphasizes jointed rock stability, joint roughness coefficient (JRC) effects, failure mechanisms, and particle-based numerical modeling to improve safety in rock mass engineering. He has published peer-reviewed research in SCI-indexed journals, demonstrating consistent scholarly impact. According to Scopus and Google Scholar records, his work has received over 300 citations across more than 16 research documents, with an h-index of 9, reflecting sustained contributions to rock mechanics and numerical analysis research.

Citation Metrics (Scopus)

360
270
180
90
0

Citations
301

Documents
16

h-index
9

                       🟦Citations    🟥 Documents    🟩 h-index


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Mr. Ghazi Abbas | Financial Engineering | Research Excellence Award

Mr. Ghazi Abbas | Financial Engineering | Research Excellence Award

Dalian Uiversity of Technology | China

Ghazi Abbas is a researcher specializing in machine learning applications in finance and economics, with a particular focus on predicting default risk and financial risk management. His work explores interpretable hybrid stacking models for multi-class loan default prediction, contributing to data-driven decision-making in financial systems. His research is recognized in international journals, accumulating citations across Google Scholar and Scopus, reflecting measurable scholarly impact, with a current h-index of 1 and total citations of 8. Ghazi’s contributions highlight the integration of advanced computational techniques into economic modeling, demonstrating strong potential for innovation in financial risk prediction and management.

Citation Metrics (Google Scholar)

15

10

5

0

Citations 8

i10-index 0

h-index 1

       🟦     Citations   🟥 i10-index   🟩 h-index


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