Baihan Lin

27 papers and 294 indexed citations i.

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 27 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 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), Topological and Geometric Data Analysis (4 papers) and Advanced Bandit Algorithms Research (4 papers). Baihan Lin is often cited by papers focused on Mental Health Research Topics (5 papers), Topological and Geometric Data Analysis (4 papers) and Advanced Bandit Algorithms Research (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, Justin M. Kollman and Frank DiMaio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Baihan Lin i

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.

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).

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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2025