Ping Li
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Advanced Image Processing Techniques
Papers in
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- Advanced Neural Network Applications 39
- Generative Adversarial Networks and Image Synthesis 39
- Image Enhancement Techniques 37
- Medical Image Segmentation Techniques 21
- Video Surveillance and Tracking Methods 18
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- Computer Graphics and Visualization Techniques 31
- Co-authors
- Dagan D. Feng (29 shared papers)Bin Sheng (50 shared papers)Bin Sheng (62 shared papers)C L Philip Chen (21 shared papers)Po Yang (18 shared papers)Jinman Kim (31 shared papers)Xin Chen (2 shared papers)Huating Li (19 shared papers)
In The Last Decade
Ping Li
469 papers receiving 8.9k citations
Ping Li's Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 3.7k
- Computer Graphics and Computer-Aided Design 240
- Health Informatics 123
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 710
Countries citing papers authored by Ping Li
This map shows the geographic impact of Ping 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 Ping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Li more than expected).
Fields of papers citing papers by Ping Li
This network shows the impact of papers produced by Ping 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 Ping Li. The network helps show where Ping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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
Showing the 20 most-cited of 524 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | EAPT: Efficient Attention Pyramid Transformer for Image Processing Hit paper breakdown → | 2021 | 388 |
| 2 | Drugs for Autoimmune Inflammatory Diseases: From Small Molecule Compounds to Anti-TNF Biologics Hit paper breakdown → | 2017 | 292 |
| 3 | 2018 | 235 | |
| 4 | 2021 | 204 | |
| 5 | 2018 | 175 | |
| 6 | 2021 | 173 | |
| 7 | 2018 | 167 | |
| 8 | Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota Hit paper breakdown → | 2024 | 167 |
| 9 | 2014 | 141 | |
| 10 | 2012 | 124 | |
| 11 | 2022 | 115 | |
| 12 | 2017 | 113 | |
| 13 | 2020 | 110 | |
| 14 | 2018 | 105 | |
| 15 | 2019 | 104 | |
| 16 | 2020 | 104 | |
| 17 | 2021 | 100 | |
| 18 | 2022 | 92 | |
| 19 | 2012 | 90 | |
| 20 | 2023 | 89 |
About Ping Li
Ping Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 524 papers that have together received 9.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (39 papers), Generative Adversarial Networks and Image Synthesis (39 papers), Image Enhancement Techniques (37 papers), Computer Graphics and Visualization Techniques (31 papers), Medical Image Segmentation Techniques (21 papers), 3D Shape Modeling and Analysis (21 papers), Retinal Imaging and Analysis (20 papers) and Video Surveillance and Tracking Methods (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.7k citations), Computer Graphics and Computer-Aided Design (240 citations), Health Informatics (123 citations), Artificial Intelligence (1.3k citations) and Radiology, Nuclear Medicine and Imaging (710 citations). Ping Li has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Dagan D. Feng, Bin Sheng, Bin Sheng, C L Philip Chen, Po Yang, Jinman Kim, Xin Chen, Huating Li, Ying Zheng and Jing Qin. Their work appears in journals such as The Visual Computer, IEEE Transactions on Multimedia, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.
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.