Research Excellence Award
Xiaohang Zhao
| Xiaohang Zhao |
| Affiliation |
Shanghai University of Finance and Economics |
| Country |
China |
| Scopus ID |
57221250882 |
| Documents |
5 |
| Citations |
190 |
| h-index |
3 |
| Subject Area |
Information Technology |
| Event |
Scientific World Research Awards |
The Research Excellence Award recognizes notable scholarly achievements and sustained academic contributions within the field of Information Technology. Xiaohang Zhao, affiliated with Shanghai University of Finance and Economics, has contributed to interdisciplinary research involving computational analytics, intelligent information systems, and quantitative methodologies relevant to modern technological applications.[1] The research profile reflects measurable scholarly visibility through indexed publications, citation impact, and participation in internationally recognized academic databases.[2]
Abstract
This academic recognition article presents an overview of the research profile and scholarly contributions of Xiaohang Zhao in the domain of Information Technology. The profile demonstrates engagement with data-driven methodologies, computational analysis, and interdisciplinary research practices that contribute to contemporary academic and technological development. Indexed research outputs and citation metrics indicate emerging scholarly influence within specialized research communities.[1][3]
Keywords
Information Technology, Computational Analytics, Data Science, Quantitative Research, Scholarly Impact, Digital Systems, Academic Recognition, Citation Analysis, Intelligent Systems, Research Excellence
Introduction
Research evaluation in Information Technology increasingly emphasizes interdisciplinary collaboration, methodological rigor, and measurable scholarly influence. Academic recognition awards provide a structured mechanism for acknowledging contributions that support innovation, scientific advancement, and practical applications across computational disciplines.[4]
Xiaohang Zhao’s scholarly profile reflects participation in this evolving academic landscape through contributions indexed in internationally recognized research databases. The integration of quantitative approaches with information systems research illustrates the broader transformation of digital and computational scholarship within global higher education environments.[1]
Research Profile
Xiaohang Zhao is affiliated with Shanghai University of Finance and Economics, an institution recognized for its research engagement in economics, analytics, information systems, and computational sciences. The available bibliometric indicators demonstrate an active scholarly presence within indexed academic databases.[2]
- Scopus Author ID: 57221250882
- Indexed Documents: 5
- Citation Count: 190
- h-index: 3
- Primary Subject Area: Information Technology
The combination of publication activity and citation performance indicates research visibility within scholarly communities interested in computational methodologies and digital information systems.[1]
Research Contributions
The research contributions associated with Xiaohang Zhao demonstrate engagement with analytical and computational frameworks applicable to modern information environments. Areas of contribution include algorithmic modeling, statistical evaluation, data interpretation, and interdisciplinary computational applications.[3]
Current trends in Information Technology research emphasize scalable systems, predictive modeling, intelligent computation, and digital transformation. Scholarly activities connected with these domains support evidence-based decision making and technological innovation across academic and industrial sectors.[5]
- Application of quantitative research methodologies
- Development of computational and analytical frameworks
- Contribution to interdisciplinary data-driven research
- Participation in internationally indexed scholarly communication
Publications
The publication profile indexed through Scopus and related academic platforms demonstrates scholarly engagement in computational and analytical research domains. Representative publication themes include information systems, statistical analysis, and technology-oriented research methodologies.[1]
- Research involving computational methodologies and analytical frameworks relevant to digital systems.
- Studies connected with interdisciplinary applications of quantitative analysis within information technology environments.
- Scholarly investigations contributing to academic discourse in data science and intelligent information systems.
Selected scholarly records are accessible through indexed research databases and citation repositories, supporting transparency and academic accessibility.[2]
Research Impact
Bibliometric indicators such as citation counts and h-index measurements provide standardized tools for evaluating research visibility and scholarly engagement. Xiaohang Zhao’s citation profile reflects measurable academic interaction within specialized research networks and scholarly literature.[1]
Research impact in Information Technology is frequently associated with methodological innovation, reproducibility, and interdisciplinary applicability. Contributions that support analytical precision and computational advancement can influence both theoretical understanding and practical implementation.[4]
Award Suitability
The scholarly profile of Xiaohang Zhao aligns with the objectives commonly associated with research recognition initiatives focused on academic excellence, innovation, and measurable scholarly contribution. The documented research activity, indexed visibility, and interdisciplinary engagement support consideration for recognition within the Scientific World Research Awards framework.[5]
Academic award evaluations frequently consider publication quality, citation performance, institutional affiliation, and contribution to scientific progress. The available research indicators demonstrate consistency with these evaluation dimensions within the field of Information Technology.[2]
Conclusion
Xiaohang Zhao’s academic profile reflects participation in contemporary Information Technology research through indexed scholarly outputs, citation visibility, and interdisciplinary analytical contributions. The documented metrics and institutional association support recognition within academic award initiatives emphasizing research excellence and scholarly development.[1][5]
External Links
References
- Elsevier. (n.d.). Scopus author details: Xiaohang Zhao, Author ID 57221250882. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57221250882
- Google Scholar. (n.d.). Xiaohang Zhao citation profile and scholarly metrics.
https://scholar.google.com/citations?user=rT3Lg5gAAAAJ&hl=en
- Fang, X., Che, S., Mao, M., Zhang, H., Zhao, M., & Zhao, X. (2024). Bias of AI-generated content: An examination of news produced by large language models. Scientific Reports, 14(1), 5224.
DOI: https://www.nature.com/articles/s41598-024-55686-2
- Zhang, H., Zhao, X., Fang, X., & Chen, B. (2024). Proactive resource request for disaster response: A deep learning-based optimization model. Information Systems Research, 35(2), 528–550.
DOI: https://pubsonline.informs.org/doi/abs/10.1287/isre.2022.0125
- Zhao, X., Fang, X., He, J., & Huang, L. (2023). Exploiting expert knowledge for assigning firms to industries: A novel deep learning method. MIS Quarterly, 47(3), 1147–1176.
DOI: https://misq.umn.edu/misq/article-abstract/47/3/1147/2257/Exploiting-Expert-Knowledge-for-Assigning-Firms-to?redirectedFrom=fulltext
- Scientific World. (n.d.). Scientific World Research Awards.
https://scientificworld.net/