Ping Li
Impact in
- Computational Mathematics top 2%
-
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 49
- Image Retrieval and Classification Techniques 25
- Face and Expression Recognition 20
- Multimodal Machine Learning Applications 19
- Video Analysis and Summarization 13
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- Domain Adaptation and Few-Shot Learning 18
- Text and Document Classification Technologies 13
- Co-authors
- Anshumali Shrivastava (8 shared papers)Xianghua Xu (16 shared papers)Jiajun Bu (11 shared papers)Mingming Sun (6 shared papers)Shihong Yue (3 shared papers)Chun Chen (9 shared papers)Pei-Yi Hao (1 shared paper)Luming Zhang (11 shared papers)
- Journals
- Neurocomputing (10 papers)IEEE Transactions on Cybernetics (7 papers)Pattern Recognition (4 papers)Expert Systems with Applications (3 papers)Information Sciences (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ping Li
214 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 179
- Computational Mathematics 49
- Computer Vision and Pattern Recognition 1.4k
- Signal Processing 382
- Artificial Intelligence 889
- Media Technology 175
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 231 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 126 | |
| 2 | 2003 | 108 | |
| 3 | 2012 | 93 | |
| 4 | 2016 | 93 | |
| 5 | 2019 | 80 | |
| 6 | 2020 | 80 | |
| 7 | 2020 | 77 | |
| 8 | 2006 | 76 | |
| 9 | 2004 | 62 | |
| 10 | 2020 | 57 | |
| 11 | 2016 | 54 | |
| 12 | One Permutation Hashing | 2012 | 52 |
| 13 | 2015 | 51 | |
| 14 | 2016 | 47 | |
| 15 | 2019 | 47 | |
| 16 | 2011 | 46 | |
| 17 | Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search | 2014 | 45 |
| 18 | 2012 | 43 | |
| 19 | 2013 | 42 | |
| 20 | 2020 | 40 |
About Ping Li
Ping Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Control and Systems Engineering and Molecular Biology, having authored 231 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (49 papers), Image Retrieval and Classification Techniques (25 papers), Face and Expression Recognition (20 papers), Multimodal Machine Learning Applications (19 papers), Domain Adaptation and Few-Shot Learning (18 papers), Sparse and Compressive Sensing Techniques (17 papers), Video Analysis and Summarization (13 papers) and Text and Document Classification Technologies (13 papers). The work is most often cited by research in Computational Mathematics (49 citations), Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (382 citations), Artificial Intelligence (889 citations) and Media Technology (175 citations). Ping Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Anshumali Shrivastava, Xianghua Xu, Jiajun Bu, Mingming Sun, Shihong Yue, Chun Chen, Pei-Yi Hao, Luming Zhang, Jiashi Feng and Guangcan Liu. Their work appears in journals such as Neurocomputing, IEEE Transactions on Cybernetics, Pattern Recognition, Expert Systems with Applications and Information Sciences.
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.