Xinsong Du
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Metabolomics and Mass Spectrometry Studies 3
- Gene expression and cancer classification 1
-
- Scientific Computing and Data Management 2
- Co-authors
- Dominick J. Lemas (9 shared papers)William R. Hogan (4 shared papers)Josef Neu (3 shared papers)Timothy J. Garrett (4 shared papers)Chintan Shah (2 shared papers)Rohit Bishnoi (2 shared papers)Erik W. Black (1 shared paper)Janice A. Taylor (1 shared paper)
- Journals
- International Journal of Medical Informatics (4 papers)Journal of Medical Internet Research (1 paper)Journal of Clinical Oncology (1 paper)Journal of the American Medical Informatics Association (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Xinsong Du
16 papers receiving 204 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 11
- Health Information Management 10
- Nutrition and Dietetics 32
- Toxicology 5
- Health 11
Countries citing papers authored by Xinsong Du
This map shows the geographic impact of Xinsong Du's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xinsong Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinsong Du more than expected).
Fields of papers citing papers by Xinsong Du
This network shows the impact of papers produced by Xinsong Du. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xinsong Du. The network helps show where Xinsong Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinsong Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 39 | |
| 2 | 2017 | 32 | |
| 3 | 2020 | 22 | |
| 4 | 2024 | 22 | |
| 5 | 2020 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 13 | |
| 8 | 2024 | 12 | |
| 9 | 2020 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2018 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Xinsong Du
Xinsong Du is a scholar working on Molecular Biology, Information Systems and Management, Oncology, Nutrition and Dietetics and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 210 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Infant Nutrition and Health (2 papers), Scientific Computing and Data Management (2 papers), Neutropenia and Cancer Infections (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Fatty Acid Research and Health (1 paper), Gene expression and cancer classification (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (11 citations), Health Information Management (10 citations), Nutrition and Dietetics (32 citations), Toxicology (5 citations) and Health (11 citations). Xinsong Du has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Dominick J. Lemas, William R. Hogan, Josef Neu, Timothy J. Garrett, Chintan Shah, Rohit Bishnoi, Erik W. Black, Janice A. Taylor, Jiang Bian and Jae Min. Their work appears in journals such as International Journal of Medical Informatics, Journal of Medical Internet Research, Journal of Clinical Oncology, Journal of the American Medical Informatics Association and BMC Pregnancy and Childbirth.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.