Le Ding
Impact in
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- Brain Tumor Detection and Classification
Papers in
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- Advanced Wireless Communication Techniques 6
- Advanced MIMO Systems Optimization 3
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- Wireless Communication Networks Research 4
- Co-authors
- Yichi Zhang (2 shared papers)Jicong Zhang (2 shared papers)Rong Cai (1 shared paper)Cheng Jin (1 shared paper)Rushi Jiao (1 shared paper)Bingsen Xue (1 shared paper)Ke Deng (4 shared papers)Qinye Yin (5 shared papers)
- Journals
- ACS Applied Nano Materials (1 paper)Computerized Medical Imaging and Graphics (1 paper)Neuroscience (1 paper)Epilepsia Open (1 paper)Frontiers in Nutrition (1 paper)
- Partner nations
- ChinaBangladeshUnited States
In The Last Decade
Le Ding
15 papers receiving 297 citations
Le Ding's Hit Papers
Peers
Comparison fields: 5 of 72
- Neurology 47
- Health Informatics 7
- Computer Vision and Pattern Recognition 104
- Radiology, Nuclear Medicine and Imaging 79
- Artificial Intelligence 67
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 | 165 |
| 2 | 2022 | 79 | |
| 3 | 2022 | 18 | |
| 4 | 2003 | 7 | |
| 5 | Effects of Drought Stress on Photosynthesis and Water Status of Rice Leaves | 2014 | 6 |
| 6 | 2023 | 5 | |
| 7 | 2008 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2006 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2019 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2004 | 0 | |
| 19 | 2007 | 0 |
About Le Ding
Le Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Hematology, having authored 19 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (6 papers), Wireless Communication Networks Research (4 papers), Advanced MIMO Systems Optimization (3 papers), Medical Image Segmentation Techniques (2 papers), Direction-of-Arrival Estimation Techniques (2 papers), Advanced Neural Network Applications (2 papers), Diet and metabolism studies (2 papers) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Neurology (47 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (104 citations), Radiology, Nuclear Medicine and Imaging (79 citations) and Artificial Intelligence (67 citations). Le Ding has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Yichi Zhang, Jicong Zhang, Rong Cai, Cheng Jin, Rushi Jiao, Bingsen Xue, Ke Deng, Qinye Yin, Xiao‐Nan Li and Hong‐Li Guo. Their work appears in journals such as ACS Applied Nano Materials, Computerized Medical Imaging and Graphics, Neuroscience, Epilepsia Open and Frontiers in Nutrition.
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.