Shan Li
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- Emotion and Mood Recognition 8
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- Face and Expression Recognition 10
- Face recognition and analysis 5
- Advanced Vision and Imaging 3
- Advanced Image Processing Techniques 3
- Human-Computer Interaction top 2%
- Biological Psychiatry top 5%
- Signal Processing top 2%
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- DNA Repair Mechanisms 3
- RNA Research and Splicing 3
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- EEG and Brain-Computer Interfaces 3
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)The Plant Journal (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Shan Li
65 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Experimental and Cognitive Psychology 1.8k
- Computer Vision and Pattern Recognition 2.0k
- Human-Computer Interaction 217
- Biological Psychiatry 87
- Signal Processing 361
Countries citing papers authored by Shan Li
This map shows the geographic impact of Shan 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 Shan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Li more than expected).
Fields of papers citing papers by Shan Li
This network shows the impact of papers produced by Shan 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 Shan Li. The network helps show where Shan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shan 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 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 34 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 3 | |
| 16 | Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognitionbreakdown → | 2018 | 447 |
| 17 | 2018 | 2 | |
| 18 | Effects of capsaicin on the cholesterol lithogenesis in the gallbladder of C57BL/6 mice | 2017 | 2 |
| 19 | 2016 | 8 | |
| 20 | 2009 | 96 |
About Shan Li
Shan Li is a scholar working on Computer Vision and Pattern Recognition, Biological Psychiatry and Experimental and Cognitive Psychology, having authored 69 papers that have together received 3.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Emotion and Mood Recognition (8 papers), Face recognition and analysis (5 papers), DNA Repair Mechanisms (3 papers), EEG and Brain-Computer Interfaces (3 papers), Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.8k citations), Computer Vision and Pattern Recognition (2.0k citations) and Human-Computer Interaction (217 citations). Shan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Weihong Deng, Junping Du, Zhenqi Xu, Ailin Luo, Chun Yang, Bin Zhu, Gaofeng Zhan, Niannian Huang, Ling Yang and Ning Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and The Plant Journal.
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.