Le Ding
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Direction-of-Arrival Estimation Techniques 2
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- Advanced Wireless Communication Techniques 5
- Co-authors
- Jicong Zhang (2 shared papers)Yichi Zhang (2 shared papers)Cheng Jin (1 shared paper)Rushi Jiao (1 shared paper)Ke Deng (4 shared papers)Qinye Yin (6 shared papers)Xiaopeng Lu (3 shared papers)Xiao-Nan Li (1 shared paper)
- Journals
- Frontiers in Nutrition (1 paper)Computers in Biology and Medicine (1 paper)Journal of Controlled Release (1 paper)Frontiers in Neurology (1 paper)ACS Applied Nano Materials (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Le Ding
15 papers receiving 365 citations
Le Ding's Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 204
- Health Informatics 13
- Neurology 15
- Artificial Intelligence 52
- Oral Surgery 9
Countries citing papers authored by Le Ding
This map shows the geographic impact of Le 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 Le Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Ding more than expected).
Fields of papers citing papers by Le Ding
This network shows the impact of papers produced by Le 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 Le Ding. The network helps show where Le Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 | Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation Hit paper breakdown → | 2023 | 211 |
| 2 | 2022 | 100 | |
| 3 | 2022 | 21 | |
| 4 | 2003 | 7 | |
| 5 | 2008 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 3 | |
| 11 | 2006 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2009 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2004 | 0 | |
| 17 | 2007 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2025 | 0 |
About Le Ding
Le Ding is a scholar working on Signal Processing, Electrical and Electronic Engineering, Physiology, Pathology and Forensic Medicine and Computer Networks and Communications, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (5 papers), Medical Image Segmentation Techniques (2 papers), Direction-of-Arrival Estimation Techniques (2 papers), Diet and metabolism studies (2 papers), Cybersecurity and Information Systems (1 paper), Immunotherapy and Immune Responses (1 paper), Luminescence Properties of Advanced Materials (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Health Informatics (13 citations), Neurology (15 citations), Artificial Intelligence (52 citations) and Oral Surgery (9 citations). Le Ding has collaborated with scholars based in China and United States. Frequent co-authors include Jicong Zhang, Yichi Zhang, Cheng Jin, Rushi Jiao, Ke Deng, Qinye Yin, Xiaopeng Lu, Xiao-Nan Li, Ya‐Hui Hu and Min Xu. Their work appears in journals such as Frontiers in Nutrition, Computers in Biology and Medicine, Journal of Controlled Release, Frontiers in Neurology and ACS Applied Nano Materials.
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.