Tong Ding
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
-
- Power Quality and Harmonics 7
- Optimal Power Flow Distribution 5
- Energy Load and Power Forecasting 4
- Electric Power System Optimization 4
- HVDC Systems and Fault Protection 3
-
- Biometric Identification and Security 4
- Co-authors
- Richard J. Chen (5 shared papers)Faisal Mahmood (5 shared papers)Drew F. K. Williamson (5 shared papers)Bowen Chen (4 shared papers)Ming Y. Lu (4 shared papers)Long P. Le (4 shared papers)Georg K. Gerber (3 shared papers)Guillaume Jaume (3 shared papers)
- Journals
- Electric Power Systems Research (3 papers)Nature Medicine (3 papers)IEEE Transactions on Applied Superconductivity (3 papers)Journal of Translational Medicine (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tong Ding
44 papers receiving 1.9k citations
Tong Ding's Hit Papers
Peers
Comparison fields: 5 of 131
- Health Informatics 133
- Artificial Intelligence 733
- Biophysics 109
- Radiology, Nuclear Medicine and Imaging 378
- Computer Vision and Pattern Recognition 265
Countries citing papers authored by Tong Ding
This map shows the geographic impact of Tong Ding'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 Tong Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Ding more than expected).
Fields of papers citing papers by Tong Ding
This network shows the impact of papers produced by Tong Ding. 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 Tong Ding. The network helps show where Tong Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Tong Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards a general-purpose foundation model for computational pathology Hit paper breakdown → | 2024 | 654 |
| 2 | A visual-language foundation model for computational pathology Hit paper breakdown → | 2024 | 423 |
| 3 | A multimodal generative AI copilot for human pathology Hit paper breakdown → | 2024 | 246 |
| 4 | 2021 | 83 | |
| 5 | 2023 | 75 | |
| 6 | 2022 | 56 | |
| 7 | A multimodal whole-slide foundation model for pathology Hit paper breakdown → | 2025 | 38 |
| 8 | 2011 | 37 | |
| 9 | 2024 | 36 | |
| 10 | 2014 | 28 | |
| 11 | 2005 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2005 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2009 | 12 | |
| 20 | 2017 | 9 |
About Tong Ding
Tong Ding is a scholar working on Electrical and Electronic Engineering, Signal Processing, Periodontics, Control and Systems Engineering and Artificial Intelligence, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Power Quality and Harmonics (7 papers), AI in cancer detection (7 papers), Optimal Power Flow Distribution (5 papers), Energy Load and Power Forecasting (4 papers), Biometric Identification and Security (4 papers), Electric Power System Optimization (4 papers), HVDC Systems and Fault Protection (3 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Health Informatics (133 citations), Artificial Intelligence (733 citations), Biophysics (109 citations), Radiology, Nuclear Medicine and Imaging (378 citations) and Computer Vision and Pattern Recognition (265 citations). Tong Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Richard J. Chen, Faisal Mahmood, Drew F. K. Williamson, Bowen Chen, Ming Y. Lu, Long P. Le, Georg K. Gerber, Guillaume Jaume, Andrew Zhang and Anil Vasdev Parwani. Their work appears in journals such as Electric Power Systems Research, Nature Medicine, IEEE Transactions on Applied Superconductivity, Journal of Translational Medicine and PLoS ONE.
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.