Tom Yan

About

Tom Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Tom Yan has authored 4 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Tom Yan’s work include Advanced Bandit Algorithms Research (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Adaptation to Concept Drift in Data Streams (1 paper). Tom Yan is often cited by papers focused on Advanced Bandit Algorithms Research (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper) and Adaptation to Concept Drift in Data Streams (1 paper). Tom Yan collaborates with scholars based in United States and Hong Kong. Tom Yan's co-authors include Aude Oliva, Mathew Monfort, Alex Andonian, Dan Gutfreund, Lisa M. Brown, Kandan Ramakrishnan, Quanfu Fan, Carl Vondrick, Sarah Adel Bargal and Bolei Zhou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Tom Yan i

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Fields of papers citing papers by Tom Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Yan. 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 Tom Yan. The network helps show where Tom Yan may publish in the future.

Countries citing papers authored by Tom Yan

Since Specialization

Citations

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