Baobin Li

703 citations
41 papers · 497 · h-index 11

Impact in

Papers in

Baobin Li

38 papers receiving 486 citations

Peers

Baobin Li
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 244
  • Experimental and Cognitive Psychology 118
  • Human-Computer Interaction 29
  • Applied Psychology 22
  • Signal Processing 35
Replace Feng-Tso Sun with:
Feng-Tso Sun United States
Moitreya Chatterjee United States
Siyang Song United Kingdom
Değer Ayata Türkiye
Athanasia Zlatintsi Greece
Xosé A. Vila Spain
Michael Glodek Germany
Sumedha Kshirsagar Switzerland
Markus Kächele Germany
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Citations per field
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Citations per year

Countries citing papers authored by Baobin Li

Since Specialization
Citations

This map shows the geographic impact of Baobin 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 Baobin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baobin Li more than expected).

Fields of papers citing papers by Baobin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baobin 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 Baobin Li. The network helps show where Baobin Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Baobin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Baobin Li Line = papers co-authored together Baobin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 201955
3 201654
4 201651
5 202135
6 201723
7 201219
8 201218
9 202017
10 202212
11 201210
12 201610
13 20229
14 20097
15 20087
16 20227
17 20126
18 20186
19 20195
20 20105

About Baobin Li

Baobin Li is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Artificial Intelligence, Biomedical Engineering and Social Psychology, having authored 41 papers that have together received 497 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (9 papers), Gait Recognition and Analysis (7 papers), Image and Signal Denoising Methods (7 papers), Mental Health via Writing (5 papers), Human Pose and Action Recognition (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Mental Health Research Topics (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Experimental and Cognitive Psychology (118 citations), Human-Computer Interaction (29 citations), Applied Psychology (22 citations) and Signal Processing (35 citations). Baobin Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Tingshao Zhu, Nan Zhao, Tiejian Luo, Ben He, Jingying Wang, Shun Li, Yameng Wang, Lizhong Peng, Zhan Zhang and Yuanyuan Xiang. Their work appears in journals such as Frontiers in Behavioral Neuroscience, Mathematics and Computers in Simulation, Frontiers in Public Health, Frontiers in Psychiatry and Knowledge-Based Systems.

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.

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