Ping Li
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Human Pose and Action Recognition
- Media Technology top 0.5%
Papers in
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- Advanced Vision and Imaging 59
- Advanced Image and Video Retrieval Techniques 51
- Image Enhancement Techniques 41
- Advanced Neural Network Applications 37
- Advanced Image Processing Techniques 36
- Generative Adversarial Networks and Image Synthesis 32
- Video Surveillance and Tracking Methods 29
- Co-authors
- Dagan Feng (30 shared papers)Bin Sheng (49 shared papers)Bin Sheng (60 shared papers)C. L. Philip Chen (20 shared papers)Po Yang (18 shared papers)Jinman Kim (30 shared papers)Christopher J. C. Burges (1 shared paper)Qiang Wu (1 shared paper)
In The Last Decade
Ping Li
562 papers receiving 10.6k citations
Ping Li's Hit Papers
Peers
Comparison fields: 5 of 220
- Computer Vision and Pattern Recognition 4.3k
- Media Technology 675
- Artificial Intelligence 2.4k
- Computer Graphics and Computer-Aided Design 242
- Radiology, Nuclear Medicine and Imaging 1.2k
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 621 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 | 330 |
| 2 | McRank: Learning to Rank Using Multiple Classification and Gradient Boosting | 2007 | 313 |
| 3 | 2017 | 275 | |
| 4 | 2014 | 259 | |
| 5 | 2018 | 226 | |
| 6 | 2021 | 189 | |
| 7 | 2018 | 172 | |
| 8 | 2018 | 168 | |
| 9 | 2021 | 153 | |
| 10 | 2014 | 140 | |
| 11 | 2012 | 121 | |
| 12 | 2014 | 114 | |
| 13 | 2017 | 106 | |
| 14 | 2019 | 102 | |
| 15 | 2020 | 102 | |
| 16 | 2018 | 102 | |
| 17 | 2020 | 100 | |
| 18 | 2016 | 100 | |
| 19 | 2022 | 98 | |
| 20 | 2012 | 90 |
About Ping Li
Ping Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering and Molecular Biology, having authored 621 papers that have together received 10.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (59 papers), Advanced Image and Video Retrieval Techniques (51 papers), Image Enhancement Techniques (41 papers), Advanced Neural Network Applications (37 papers), Advanced Image Processing Techniques (36 papers), Computer Graphics and Visualization Techniques (35 papers), Generative Adversarial Networks and Image Synthesis (32 papers) and Video Surveillance and Tracking Methods (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Media Technology (675 citations), Artificial Intelligence (2.4k citations), Computer Graphics and Computer-Aided Design (242 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Ping Li has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Dagan Feng, Bin Sheng, Bin Sheng, C. L. Philip Chen, Po Yang, Jinman Kim, Christopher J. C. Burges, Qiang Wu, Xin Chen and Ying Zheng. 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 Visualization and Computer Graphics and IEEE Transactions on Image Processing.
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.