Ping Li
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Advanced Graph Neural Networks
- Stochastic Gradient Optimization Techniques
- Sentiment Analysis and Opinion Mining
- Computational Mathematics top 2%
Papers in
-
- Stochastic Gradient Optimization Techniques 42
- Topic Modeling 33
- Algorithms and Data Compression 23
-
- Advanced Image and Video Retrieval Techniques 38
- Multimodal Machine Learning Applications 17
- Co-authors
- Kenneth Church (9 shared papers)Trevor J. Hastie (7 shared papers)Dingcheng Li (20 shared papers)Anshumali Shrivastava (13 shared papers)Jingyuan Zhang (7 shared papers)Christopher J. C. Burges (1 shared paper)Mingming Sun (29 shared papers)Xiao Xia Huang (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (6 papers)IEEE Transactions on Signal Processing (4 papers)Electronic Journal of Statistics (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Journal of Statistical Planning and Inference (2 papers)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Ping Li
240 papers receiving 5k citations
Ping Li's Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 2.6k
- Computational Mathematics 39
- Computer Vision and Pattern Recognition 1.4k
- Information Systems 890
- Computational Mechanics 446
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 260 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Very sparse random projections Hit paper breakdown → | 2006 | 432 |
| 2 | Knowledge Graph Embedding Based Question Answering Hit paper breakdown → | 2019 | 413 |
| 3 | User-level sentiment analysis incorporating social networks Hit paper breakdown → | 2011 | 343 |
| 4 | McRank: Learning to Rank Using Multiple Classification and Gradient Boosting | 2007 | 318 |
| 5 | 2005 | 198 | |
| 6 | 2022 | 144 | |
| 7 | 2021 | 143 | |
| 8 | 2010 | 122 | |
| 9 | 2015 | 76 | |
| 10 | 2015 | 76 | |
| 11 | 2019 | 72 | |
| 12 | 2016 | 68 | |
| 13 | 2020 | 68 | |
| 14 | Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) | 2014 | 67 |
| 15 | 2011 | 58 | |
| 16 | 2019 | 58 | |
| 17 | 2011 | 55 | |
| 18 | One Permutation Hashing | 2013 | 55 |
| 19 | 2016 | 54 | |
| 20 | 2015 | 49 |
About Ping Li
Ping Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Statistics and Probability and Information Systems, having authored 260 papers that have together received 5.3k indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (42 papers), Sparse and Compressive Sensing Techniques (40 papers), Advanced Image and Video Retrieval Techniques (38 papers), Topic Modeling (33 papers), Algorithms and Data Compression (23 papers), Recommender Systems and Techniques (19 papers), Information Retrieval and Search Behavior (19 papers) and Multimodal Machine Learning Applications (17 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computational Mathematics (39 citations), Computer Vision and Pattern Recognition (1.4k citations), Information Systems (890 citations) and Computational Mechanics (446 citations). Ping Li has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Kenneth Church, Trevor J. Hastie, Dingcheng Li, Anshumali Shrivastava, Jingyuan Zhang, Christopher J. C. Burges, Mingming Sun, Xiao Xia Huang, Weijie Zhao and Hongliang Fei. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, Electronic Journal of Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Statistical Planning and Inference.
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.