Beibin Li
Impact in
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- Autism Spectrum Disorder Research
- EEG and Brain-Computer Interfaces
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- Gaze Tracking and Assistive Technology
Papers in
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- Autism Spectrum Disorder Research 6
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- AI in cancer detection 5
- Co-authors
- Frederick Shic (14 shared papers)Linda G. Shapiro (10 shared papers)Erin Barney (8 shared papers)Pamela Ventola (4 shared papers)Sachin Mehta (4 shared papers)Quan Wang (5 shared papers)Srikanth Kandula (2 shared papers)Deepali Aneja (1 shared paper)
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)Manufacturing & Service Operations Management (1 paper)JCO Clinical Cancer Informatics (1 paper)Frontiers in Neuroscience (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Beibin Li
26 papers receiving 208 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 82
- Human-Computer Interaction 23
- Computer Vision and Pattern Recognition 45
- Experimental and Cognitive Psychology 27
- Biophysics 10
Countries citing papers authored by Beibin Li
This map shows the geographic impact of Beibin 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 Beibin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibin Li more than expected).
Fields of papers citing papers by Beibin Li
This network shows the impact of papers produced by Beibin 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 Beibin Li. The network helps show where Beibin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibin 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2018 | 24 | |
| 3 | 2016 | 22 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2016 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2022 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Beibin Li
Beibin Li is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition and Ophthalmology, having authored 28 papers that have together received 211 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (6 papers), Gaze Tracking and Assistive Technology (5 papers), AI in cancer detection (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Glaucoma and retinal disorders (3 papers), Digital Imaging for Blood Diseases (2 papers) and Digital Accessibility for Disabilities (2 papers). The work is most often cited by research in Cognitive Neuroscience (82 citations), Human-Computer Interaction (23 citations), Computer Vision and Pattern Recognition (45 citations), Experimental and Cognitive Psychology (27 citations) and Biophysics (10 citations). Beibin Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Frederick Shic, Linda G. Shapiro, Erin Barney, Pamela Ventola, Sachin Mehta, Quan Wang, Srikanth Kandula, Deepali Aneja, Adham Atyabi and Joann G. Elmore. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Manufacturing & Service Operations Management, JCO Clinical Cancer Informatics, Frontiers in Neuroscience and Frontiers in Psychology.
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.