Dingwen Li
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Intensive Care Unit Cognitive Disorders
Papers in
-
- Machine Learning in Healthcare 4
- Explainable Artificial Intelligence (XAI) 1
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- Image Enhancement Techniques 1
- Advanced Neural Network Applications 1
- Co-authors
- Chenyang Lu (11 shared papers)Troy S. Wildes (1 shared paper)Thomas Kannampallil (2 shared papers)Joanna Abraham (2 shared papers)Michael Simon Avidan (2 shared papers)Jinlai Zhang (1 shared paper)Ronghua Du (1 shared paper)Wenjie Yang (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Journal of Medical Internet Research (1 paper)JAMA Network Open (1 paper)HPB (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Dingwen Li
16 papers receiving 481 citations
Dingwen Li's Hit Papers
Peers
Comparison fields: 5 of 62
- Health Informatics 27
- Critical Care and Intensive Care Medicine 19
- Computer Vision and Pattern Recognition 85
- Internal Medicine 7
- Health Information Management 9
Countries citing papers authored by Dingwen Li
This map shows the geographic impact of Dingwen Li'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 Dingwen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingwen Li more than expected).
Fields of papers citing papers by Dingwen Li
This network shows the impact of papers produced by Dingwen Li. 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 Dingwen Li. The network helps show where Dingwen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingwen Li, 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 | Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications Hit paper breakdown → | 2021 | 241 |
| 2 | 2023 | 86 | |
| 3 | 2021 | 50 | |
| 4 | 2023 | 39 | |
| 5 | 2023 | 34 | |
| 6 | 2020 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 5 | |
| 12 | Study on the antineoplastic effect of caulis spatholobi extracts | 2009 | 2 |
| 13 | 2022 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 1 |
About Dingwen Li
Dingwen Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 16 papers that have together received 512 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Smart Agriculture and AI (1 paper), Image Enhancement Techniques (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Health Informatics (27 citations), Critical Care and Intensive Care Medicine (19 citations), Computer Vision and Pattern Recognition (85 citations), Internal Medicine (7 citations) and Health Information Management (9 citations). Dingwen Li has collaborated with scholars based in United States and China. Frequent co-authors include Chenyang Lu, Troy S. Wildes, Thomas Kannampallil, Joanna Abraham, Michael Simon Avidan, Jinlai Zhang, Ronghua Du, Wenjie Yang, Kai Gao and Xiaodong Yang. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Journal of Medical Internet Research, JAMA Network Open, HPB and Computers and Electronics in Agriculture.
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.