Jianshu Li
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computational Mechanics top 10%
- Experimental and Cognitive Psychology top 10%
- Topics
- Face recognition and analysis (17 papers)Advanced Neural Network Applications (10 papers)Generative Adversarial Networks and Image Synthesis (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingInternational Journal of Computer Vision
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jianshu Li
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 298
- Signal Processing 241
- Computational Mechanics 81
- Experimental and Cognitive Psychology 70
Countries citing papers authored by Jianshu Li
This map shows the geographic impact of Jianshu 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 Jianshu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianshu Li more than expected).
Fields of papers citing papers by Jianshu Li
This network shows the impact of papers produced by Jianshu 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 Jianshu Li. The network helps show where Jianshu Li may publish in the future.
Co-authorship network of co-authors of Jianshu Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jianshu Li. A scholar is included among the top collaborators of Jianshu Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianshu Li. Jianshu Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 37 | |
| 10 | 79 | |
| 11 | 110 | |
| 12 | 63 | |
| 13 | 27 | |
| 14 | Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis | 80 |
| 15 | 59 | |
| 16 | 14 | |
| 17 | 20 | |
| 18 | Towards Real World Human Parsing: Multiple-Human Parsing in the Wild. | 9 |
| 19 | 37 | |
| 20 | 1 |
About Jianshu Li
Jianshu Li is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face recognition and analysis (17 papers), Advanced Neural Network Applications (10 papers) and Generative Adversarial Networks and Image Synthesis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (241 citations) and Artificial Intelligence (298 citations). Jianshu Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiashi Feng, Shuicheng Yan, Jian Zhao, Fang Zhao, Terence Sim, Lin Xiong, Junliang Xing, Cheng Yu, Shengmei Shen and Yu Cheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.
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.