Tong Ding
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Power Quality and Harmonics 6
- Optimal Power Flow Distribution 5
- Energy Load and Power Forecasting 4
- Electric Power System Optimization 4
- Electric Vehicles and Infrastructure 3
- High-Voltage Power Transmission Systems 3
- Co-authors
- Drew F. K. WilliamsonRichard J. ChenFaisal MahmoodMing Y. LuLong P. LeBowen ChenGeorg K. GerberGuillaume Jaume
- Journals
- IEEE Transactions on Applied Superconductivity (3 papers)Nature Medicine (2 papers)Electric Power Systems Research (2 papers)Journal of Translational Medicine (2 papers)Journal of Zhejiang University SCIENCE B (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Tong Ding
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 110
- Radiology, Nuclear Medicine and Imaging 347
- Artificial Intelligence 473
- Biophysics 75
- Computer Vision and Pattern Recognition 175
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | A multimodal generative AI copilot for human pathology Hit paper breakdown → | 2024 | 156 |
| 6 | A visual-language foundation model for computational pathology Hit paper breakdown → | 2024 | 228 |
| 7 | Towards a general-purpose foundation model for computational pathology Hit paper breakdown → | 2024 | 331 |
| 8 | 2024 | 1 | |
| 9 | 2024 | 16 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 12 | |
| 15 | 2022 | 48 | |
| 16 | 2021 | 68 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2018 | 2 | |
| 20 | 2018 | 1 |
About Tong Ding
Tong Ding is a scholar working on Periodontics, Electrical and Electronic Engineering, Signal Processing, Safety, Risk, Reliability and Quality and Urology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Power Quality and Harmonics (6 papers), Optimal Power Flow Distribution (5 papers), Energy Load and Power Forecasting (4 papers), Electric Power System Optimization (4 papers), Electric Vehicles and Infrastructure (3 papers), Power System Reliability and Maintenance (3 papers) and High-Voltage Power Transmission Systems (3 papers). The work is most often cited by research in Health Informatics (110 citations), Radiology, Nuclear Medicine and Imaging (347 citations), Artificial Intelligence (473 citations), Biophysics (75 citations) and Computer Vision and Pattern Recognition (175 citations). Tong Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Drew F. K. Williamson, Richard J. Chen, Faisal Mahmood, Ming Y. Lu, Long P. Le, Bowen Chen, Georg K. Gerber, Guillaume Jaume, Andrew Zhang and Ivy Liang. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Nature Medicine, Electric Power Systems Research, Journal of Translational Medicine and Journal of Zhejiang University SCIENCE B.
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.