William Chan

14 papers and 2.7k indexed citations i.

About

William Chan is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, William Chan has authored 14 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in William Chan’s work include Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (6 papers) and Topic Modeling (6 papers). William Chan is often cited by papers focused on Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (6 papers) and Topic Modeling (6 papers). William Chan collaborates with scholars based in United States, Germany and Canada. William Chan's co-authors include Chung‐Cheng Chiu, Daniel Park, Quoc V. Le, Ekin D. Cubuk, Yu Zhang, Barret Zoph, Mohammad Norouzi, Chitwan Saharia, Jonathan Ho and Tim Salimans and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Housing and Society.

In The Last Decade

Co-authorship network of co-authors of William Chan i

Fields of papers citing papers by William Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Chan

Since Specialization
Citations

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