Innovative Research Award
Xudong Xing
China Pharmaceutical University, China
Xudong Xing is a researcher affiliated with China Pharmaceutical University whose academic contributions focus on metabolomics, artificial intelligence applications in pharmaceutical sciences, and computational approaches for Traditional Chinese Medicine research. The researcher has contributed to interdisciplinary studies that integrate data analytics, metabolite–phenotype associations, and large language models for biomedical innovation. Current scholarly activities emphasize analytical chemistry, bioinformatics, and intelligent drug discovery systems that support evidence-based healthcare and translational pharmaceutical research.[1]
Abstract
The research activities of Xudong Xing reflect an interdisciplinary integration of pharmaceutical science, artificial intelligence, and computational metabolomics. Recent publications demonstrate contributions to annotation systems for Traditional Chinese Medicine, normalization methods for metabolomic analysis, and surveys examining large language model applications in drug research and development. These studies collectively support data-driven pharmaceutical innovation and enhance analytical reliability in biomedical investigations.[2]
Keywords
Traditional Chinese Medicine, Metabolomics, Artificial Intelligence, Drug Discovery, Analytical Chemistry, Biomedical Informatics, Large Language Models, Pharmaceutical Data Analytics.
Introduction
Contemporary pharmaceutical research increasingly depends on computational frameworks capable of integrating large-scale biological and chemical datasets. Xudong Xing has participated in studies addressing these developments through machine learning applications, metabolite analysis, and intelligent annotation systems. The research profile reflects a focus on improving the interpretability and reproducibility of biomedical data while supporting the modernization of Traditional Chinese Medicine research methodologies.[3]
Research Profile
With a Scopus h-index of 13 and 380 citations, Xudong Xing has contributed to scholarly discussions in analytical chemistry and pharmaceutical informatics. The research portfolio includes collaborative publications in high-impact scientific journals and emphasizes data integration, computational metabolomics, and AI-assisted biomedical analysis. The work also reflects increasing engagement with digital tools for accelerating pharmaceutical innovation and molecular interpretation processes.[1]
Research Contributions
- Development of AnnoTCM, a multimodal annotation tool supporting metabolite–phenotype integration in Traditional Chinese Medicine research.
- Participation in survey research examining the influence of large language models in drug research and pharmaceutical development.
- Contribution to EigenRF normalization methods for improving reproducibility evaluation in metabolomics studies.
Publications
- AnnoTCM: An Annotation Tool for Multimodal Metabolite–Phenotype Integration in Decoding Bioactive Compounds of Traditional Chinese Medicine. Analytical Chemistry (2026). DOI: 10.1021/acs.analchem.5c04126
- A Survey of Large Language Model for Drug Research and Development. IEEE Access (2025). DOI: 10.1109/ACCESS.2025.3552256
- EigenRF: an improved metabolomics normalization method with scores for reproducibility evaluation on importance rankings of differential metabolites. Analytical Methods (2025). DOI: 10.1039/D4AY01569J
Research Impact
The research impact associated with Xudong Xing is reflected through citation performance, interdisciplinary collaboration, and methodological relevance in pharmaceutical analytics. Contributions to AI-enabled biomedical systems and metabolomics workflows support emerging scientific directions involving intelligent healthcare technologies, computational drug research, and data-centric pharmaceutical applications. The scholarly output demonstrates continuing engagement with innovative research themes linked to biomedical informatics and analytical science.[2]
Award Suitability
Xudong Xing’s academic profile aligns with the objectives of the International Research Awards on Network Science & Graph Analytics due to the integration of computational methodologies, biomedical data interpretation, and intelligent analytical frameworks. The combination of citation impact, interdisciplinary collaboration, and contributions to pharmaceutical informatics supports recognition within contemporary research innovation and scientific analytics.[3]
Conclusion
The scholarly work of Xudong Xing demonstrates continued involvement in computational pharmaceutical science and metabolomics-driven biomedical research. Through contributions to analytical methods, AI-assisted drug research, and Traditional Chinese Medicine data integration, the research profile reflects interdisciplinary engagement and methodological advancement within contemporary pharmaceutical sciences.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: Xudong Xing, Author ID 57191914430. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57191914430
- American Chemical Society. (2026). AnnoTCM: An Annotation Tool for Multimodal Metabolite–Phenotype Integration in Decoding Bioactive Compounds of Traditional Chinese Medicine.
https://doi.org/10.1021/acs.analchem.5c04126
- IEEE Access. (2025). A Survey of Large Language Model for Drug Research and Development.
https://doi.org/10.1109/ACCESS.2025.3552256