Research Excellence Award
Xiao-Hai Yan,
University of Delaware.
Xiao-Hai Yan is a researcher affiliated with the University of Delaware whose documented scholarly profile is associated with physical oceanography and climate impacts. The available bibliometric information identifies 194 documents, 5,785 citations, and an h-index of 40 in Scopus, providing a quantitative overview of his indexed research record. [1]
Abstract
This academic recognition profile presents Xiao-Hai Yan in relation to the Research Excellence Award of the Global Hydrologists Awards. His documented Scopus record includes 194 indexed documents, 5,785 citations, and an h-index of 40, while his stated subject area encompasses physical oceanography and climate impacts. [1]
Keywords
- Physical Oceanography
- Climate Impacts
- Ocean Research
- Hydrology
- Climate Science
- Water Systems
- Environmental Research
- Research Excellence
Introduction
Xiao-Hai Yan is affiliated with the University of Delaware and is identified with physical oceanography and climate impacts. His research profile is relevant to scientific investigation of oceanic and climate-related processes, connecting environmental observations with broader understanding of Earth-system dynamics. The documented Scopus record provides quantitative context for his scholarly activity. [3]
Research Profile
Yan’s documented research profile centers on physical oceanography and climate impacts, areas that examine interactions among oceans, atmosphere, climate variability, and environmental systems. Scopus records 194 documents and 5,785 citations associated with the supplied author identification, together with an h-index of 40. These metrics describe indexed scholarly activity and citation performance. [3]
Research Contributions
The research contribution represented by Yan’s profile can be considered within physical oceanography and climate-impact studies. His indexed publication record indicates sustained scholarly activity across these interconnected fields. Such work contributes to scientific understanding of ocean processes and their relationships with changing environmental conditions, while providing research outputs that can support further investigation. [1]
Publications
The supplied Scopus information identifies 194 indexed documents for Xiao-Hai Yan, indicating a substantial body of scholarly literature associated with his author profile. Individual publication titles, journals, years, citation counts, and DOI information should be verified directly against authoritative bibliographic records before detailed attribution. The Scopus author profile provides the principal bibliometric reference. [3]
Research Impact
The supplied bibliometric indicators document 5,785 citations and an h-index of 40 for the identified Scopus author profile. These measurements provide quantitative evidence of citation activity within indexed literature, although bibliometric indicators alone do not capture every dimension of research influence. Interpretation should therefore consider publication context, collaboration, applications, and disciplinary relevance. [2]
Award Suitability
For the Research Excellence Award, the documented profile provides several assessable elements, including affiliation, subject-area alignment, publication volume, citations, and h-index. The 194 Scopus documents and 5,785 citations establish a substantial indexed research record. Final award assessment should additionally consider verified research quality, originality, relevance, contributions, and the committee’s published criteria. [4]
Conclusion
Xiao-Hai Yan’s supplied academic profile documents affiliation with the University of Delaware and specialization in physical oceanography and climate impacts. The reported Scopus indicators include 194 documents, 5,785 citations, and an h-index of 40. Together, these details provide a structured basis for scholarly recognition review, subject to independent verification. [3]
External Links
References
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Zhou, L., Li, Q., Li, L., Geng, X., & Yan, X. (2026). Cross-spectrum-based shallow water retrieval using high-resolution C-band miniaturized SAR satellites.
https://www.mdpi.com/2077-1312/14/14/1343
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Li, Q., Bai, X., Hu, L., Geng, X., & Yan, X. (2026). Semantic segmentation of typical oceanic and atmospheric phenomena in SAR images based on modified SegFormer.
https://www.mdpi.com/2072-4292/18/1/113
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Wu, Z., Wang, H., Liao, E., Yan, X., & Cai, W. J. (2024). Air-sea CO₂ flux in the Gulf of Mexico from observations and multiple machine-learning data products.
https://www.sciencedirect.com/science/article/abs/pii/S0079661124000508
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Chen, Y., Su, H., Yan, X., Zhang, H., & Wang, Y. (2024). Global oceans suffer extreme heatwaves intensifying since the early 21st century: A new comprehensive index. Ecological Indicators.
https://www.sciencedirect.com/science/article/pii/S1470160X24005260