Beibei Lin
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
Papers in
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- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 4
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- Gait Recognition and Analysis 5
- Co-authors
- Shunli Zhang (6 shared papers)Xin Yu (3 shared papers)Robby T. Tan (1 shared paper)Yeying Jin (1 shared paper)Wending Yan (1 shared paper)Yehuan Liu (1 shared paper)Yang Tian (1 shared paper)Zheng Zhu (2 shared papers)
In The Last Decade
Beibei Lin
16 papers receiving 321 citations
Beibei Lin's Hit Papers
Peers
Comparison fields: 5 of 66
- Human-Computer Interaction 100
- Computer Vision and Pattern Recognition 234
- Biomedical Engineering 229
- Endocrinology, Diabetes and Metabolism 60
- Media Technology 17
Countries citing papers authored by Beibei Lin
This map shows the geographic impact of Beibei Lin'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 Beibei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Lin more than expected).
Fields of papers citing papers by Beibei Lin
This network shows the impact of papers produced by Beibei Lin. 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 Beibei Lin. The network helps show where Beibei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Lin, 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 | Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation Hit paper breakdown → | 2021 | 194 |
| 2 | 2023 | 36 | |
| 3 | 2023 | 26 | |
| 4 | 2014 | 13 | |
| 5 | 2021 | 11 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2019 | 7 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 |
About Beibei Lin
Beibei Lin is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Human-Computer Interaction, Rehabilitation and Obstetrics and Gynecology, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (5 papers), Video Surveillance and Tracking Methods (4 papers), Hand Gesture Recognition Systems (4 papers), Human Pose and Action Recognition (4 papers), Stroke Rehabilitation and Recovery (2 papers), Glaucoma and retinal disorders (1 paper), Image Processing Techniques and Applications (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Human-Computer Interaction (100 citations), Computer Vision and Pattern Recognition (234 citations), Biomedical Engineering (229 citations), Endocrinology, Diabetes and Metabolism (60 citations) and Media Technology (17 citations). Beibei Lin has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Shunli Zhang, Xin Yu, Robby T. Tan, Yeying Jin, Wending Yan, Yehuan Liu, Yang Tian, Zheng Zhu, Ming Wang and Lincheng Li. Their work appears in journals such as IEEE Signal Processing Letters, Annals of Palliative Medicine, Medicine, BMC Psychiatry and BMC Neurology.
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.