Ping Li
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- Advanced Vision and Imaging 53
- Advanced Image and Video Retrieval Techniques 43
- Image Enhancement Techniques 39
- Advanced Neural Network Applications 36
- Advanced Image Processing Techniques 33
- Generative Adversarial Networks and Image Synthesis 30
- Video Surveillance and Tracking Methods 25
- Media Technology top 0.5%
- Artificial Intelligence top 0.5%
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- Computer Graphics and Visualization Techniques 33
Ping Li
516 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Computer Vision and Pattern Recognition 3.8k
- Media Technology 618
- Artificial Intelligence 2.1k
- Computer Graphics and Computer-Aided Design 194
- Radiology, Nuclear Medicine and Imaging 1.3k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 35 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 78 | |
| 15 | 2022 | 6 | |
| 16 | Mixed-weight neural bagging for detecting m6A modifications in SARS-CoV-2 RNA sequencing | 2022 | 10 |
| 17 | 2021 | 1 | |
| 18 | 2019 | 77 | |
| 19 | A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data | 2011 | 7 |
| 20 | 2006 | 3 |
About Ping Li
Ping Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 571 papers that have together received 9.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (53 papers), Advanced Image and Video Retrieval Techniques (43 papers), Image Enhancement Techniques (39 papers), Advanced Neural Network Applications (36 papers), Computer Graphics and Visualization Techniques (33 papers), Advanced Image Processing Techniques (33 papers), Generative Adversarial Networks and Image Synthesis (30 papers) and Video Surveillance and Tracking Methods (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.8k citations), Media Technology (618 citations) and Artificial Intelligence (2.1k citations). Ping Li has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Bin Sheng, Dagan Feng, Bin Sheng, C. L. Philip Chen, Po Yang, Xin Chen, Qiang Wu, Christopher J. C. Burges, Jinman Kim and Ying Zheng. Their work appears in journals such as The Visual Computer, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems 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.