Baihan Lin

908 total citations
34 papers, 325 citations indexed

About

Baihan Lin is a scholar working on Artificial Intelligence, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Baihan Lin has authored 34 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Baihan Lin's work include Mental Health Research Topics (5 papers), Advanced Bandit Algorithms Research (5 papers) and Reinforcement Learning in Robotics (4 papers). Baihan Lin is often cited by papers focused on Mental Health Research Topics (5 papers), Advanced Bandit Algorithms Research (5 papers) and Reinforcement Learning in Robotics (4 papers). Baihan Lin collaborates with scholars based in United States, China and Canada. Baihan Lin's co-authors include Yue Teng, Yigang Tong, Dan Feng, Xiaoping An, Yong Huang, Djallel Bouneffouf, Guillermo Cecchi, Jiajun Chen, Xianglilan Zhang and Matthew J. Bick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Baihan Lin

32 papers receiving 313 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Baihan Lin United States 9 99 66 60 59 52 34 325
Maria A. Riolo United States 13 109 1.1× 35 0.5× 29 0.5× 30 0.5× 47 0.9× 16 373
Laura C. Streichert United States 12 146 1.5× 112 1.7× 37 0.6× 91 1.5× 27 0.5× 28 556
Eric Ma United States 14 193 1.9× 112 1.7× 157 2.6× 31 0.5× 25 0.5× 37 542
Ben Adlam United States 9 55 0.6× 96 1.5× 62 1.0× 78 1.3× 165 3.2× 14 518
Mariana Lenharo Belarus 10 33 0.3× 59 0.9× 86 1.4× 54 0.9× 21 0.4× 66 325
Nicholas Generous United States 13 285 2.9× 58 0.9× 71 1.2× 99 1.7× 180 3.5× 26 536
Ashlynn R. Daughton United States 12 120 1.2× 77 1.2× 42 0.7× 44 0.7× 69 1.3× 27 419
Christian E. Gunning United States 9 59 0.6× 67 1.0× 35 0.6× 66 1.1× 23 0.4× 17 310
Olugbenga Oluwagbemi Nigeria 11 25 0.3× 100 1.5× 36 0.6× 35 0.6× 11 0.2× 37 317
Prashanth Selvaraj United States 12 25 0.3× 84 1.3× 87 1.4× 195 3.3× 70 1.3× 30 482

Countries citing papers authored by Baihan Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Baihan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Baihan Lin. A scholar is included among the top collaborators of Baihan Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Baihan Lin. Baihan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Baihan, et al.. (2025). Design and additive manufacture of patient-specific head phantom for radiotherapy. Materials & Design. 252. 113719–113719.
2.
Lin, Baihan, et al.. (2025). COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling. Translational Psychiatry. 15(1). 166–166. 1 indexed citations
3.
4.
Lin, Baihan, Guillermo Cecchi, & Djallel Bouneffouf. (2024). Working Alliance Transformer for Psychotherapy Dialogue Classification. 64–69. 1 indexed citations
5.
Lin, Baihan. (2024). Reinforcement Learning Methods in Speech and Language Technology. Signals and communication technology. 1 indexed citations
6.
Price, Amy, Anthony Solomonides, Dave deBronkart, et al.. (2024). Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health. International Journal of Medical Informatics. 195. 105713–105713. 5 indexed citations
7.
Lin, Baihan, Djallel Bouneffouf, Guillermo Cecchi, & Kush R. Varshney. (2024). Towards Healthy AI: Large Language Models Need Therapists Too. 61–70. 1 indexed citations
8.
Lin, Baihan & Nikolaus Kriegeskorte. (2024). The topology and geometry of neural representations. Proceedings of the National Academy of Sciences. 121(42). e2317881121–e2317881121. 2 indexed citations
9.
Lin, Baihan & Xinxin Zhang. (2023). iSpeak: Interactive Spoken Language Understanding System for Children with Speech and Language Disorders. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
10.
Lin, Baihan, Guillermo Cecchi, & Djallel Bouneffouf. (2023). SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. 7149–7153. 2 indexed citations
11.
Lin, Baihan, Guillermo Cecchi, & Djallel Bouneffouf. (2023). Helping Therapists with NLP-Annotated Recommendation. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
12.
13.
Lin, Baihan. (2023). Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook. Expert Systems with Applications. 238. 122254–122254. 15 indexed citations
14.
Lin, Baihan. (2022). Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 4. 1933–1940. 1 indexed citations
15.
Lin, Baihan, Djallel Bouneffouf, & Guillermo Cecchi. (2022). Predicting Human Decision Making with LSTM. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations
16.
Lin, Baihan, Marieke Mur, Tim C. Kietzmann, & Nikolaus Kriegeskorte. (2019). Visualizing Representational Dynamics with Multidimensional Scaling Alignment. Radboud Repository (Radboud University). 3 indexed citations
17.
Teng, Yue, Yong Huang, Baihan Lin, et al.. (2017). Model-informed risk assessment for Zika virus outbreaks in the Asia-Pacific regions. Journal of Infection. 74(5). 484–491. 23 indexed citations
18.
Teng, Yue, Yong Huang, Baihan Lin, et al.. (2017). Dynamic Forecasting of Zika Epidemics Using Google Trends. PLoS ONE. 12(1). e0165085–e0165085. 113 indexed citations
19.
Teng, Yue, Shufeng Liu, Xiaocan Guo, et al.. (2017). An Integrative Analysis Reveals a Central Role of P53 Activation via MDM2 in Zika Virus Infection Induced Cell Death. Frontiers in Cellular and Infection Microbiology. 7. 327–327. 21 indexed citations
20.
Lin, Baihan, et al.. (2012). Draft Genome Sequence of the Novel Agarolytic Bacterium Aquimarina agarilytica ZC1. Journal of Bacteriology. 194(10). 2769–2769. 10 indexed citations

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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2026