Baihan Lin
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Reinforcement Learning in Robotics 4
-
- Single-cell and spatial transcriptomics 3
- Co-authors
- Yigang Tong (4 shared papers)Yue Teng (4 shared papers)Dan Feng (3 shared papers)Xiaoping An (3 shared papers)Yong Huang (2 shared papers)Djallel Bouneffouf (13 shared papers)Guillermo Cecchi (9 shared papers)Justin M. Kollman (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Bacteriology (1 paper)Materials & Design (1 paper)Scientific Reports (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Baihan Lin
32 papers receiving 313 citations
Peers
Comparison fields: 5 of 111
- Modeling and Simulation 52
- Health Informatics 5
- Infectious Diseases 60
- Epidemiology 99
- Applied Psychology 11
Countries citing papers authored by Baihan Lin
This map shows the geographic impact of Baihan 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 Baihan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baihan Lin more than expected).
Fields of papers citing papers by Baihan Lin
This network shows the impact of papers produced by Baihan 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 Baihan Lin. The network helps show where Baihan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Baihan 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 113 | |
| 2 | 2019 | 34 | |
| 3 | 2015 | 32 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2023 | 15 | |
| 7 | 2012 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2019 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | Helping Therapists with NLP-Annotated Recommendation | 2023 | 2 |
About Baihan Lin
Baihan Lin is a scholar working on Artificial Intelligence, Molecular Biology, Experimental and Cognitive Psychology, Management Science and Operations Research and Social Psychology, having authored 34 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (5 papers), Mental Health Research Topics (5 papers), Topological and Geometric Data Analysis (4 papers), Reinforcement Learning in Robotics (4 papers), Cell Image Analysis Techniques (3 papers), Mental Health via Writing (3 papers), Viral Infections and Vectors (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Modeling and Simulation (52 citations), Health Informatics (5 citations), Infectious Diseases (60 citations), Epidemiology (99 citations) and Applied Psychology (11 citations). Baihan Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yigang Tong, Yue Teng, Dan Feng, Xiaoping An, Yong Huang, Djallel Bouneffouf, Guillermo Cecchi, Justin M. Kollman, Frank DiMaio and James J. De Yoreo. Their work appears in journals such as PLoS ONE, Journal of Bacteriology, Materials & Design, Scientific Reports and Journal of the American Chemical Society.
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.