Bill Yuchen Lin

32 papers and 1.0k indexed citations i.

About

Bill Yuchen Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Bill Yuchen Lin has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Bill Yuchen Lin’s work include Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (6 papers). Bill Yuchen Lin is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (6 papers). Bill Yuchen Lin collaborates with scholars based in United States, China and United Kingdom. Bill Yuchen Lin's co-authors include Xiang Ren, Xinyue Chen, Devsmita Das, Ahmad Salehi, Wei Lu, Seyeon Lee, Sarah Moghadam, J. Wesson Ashford, Van Dang and Rahul Khanna and has published in prestigious journals such as Biological Psychiatry, Neuroscience & Biobehavioral Reviews and Physical Therapy.

In The Last Decade

Co-authorship network of co-authors of Bill Yuchen Lin i

Fields of papers citing papers by Bill Yuchen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bill Yuchen 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 Bill Yuchen Lin. The network helps show where Bill Yuchen Lin may publish in the future.

Countries citing papers authored by Bill Yuchen Lin

Since Specialization
Citations

This map shows the geographic impact of Bill Yuchen 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 Bill Yuchen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Yuchen 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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