Kevin Huang

44 papers and 1.3k indexed citations i.

About

Kevin Huang is a scholar working on Materials Chemistry, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kevin Huang has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kevin Huang’s work include Machine Learning in Materials Science (8 papers), Topic Modeling (7 papers) and Gaze Tracking and Assistive Technology (4 papers). Kevin Huang is often cited by papers focused on Machine Learning in Materials Science (8 papers), Topic Modeling (7 papers) and Gaze Tracking and Assistive Technology (4 papers). Kevin Huang collaborates with scholars based in United States and Canada. Kevin Huang's co-authors include Elsa Olivetti, Edward Kim, Gerbrand Ceder, Andrew McCallum, Adam M. Saunders, Stefanie Jegelka, Jing Huang, Tengyu Ma, Emma Strubell and Wenxuan Zhou and has published in prestigious journals such as Chemistry of Materials, The Journal of Physical Chemistry C and Journal of Colloid and Interface Science.

In The Last Decade

Co-authorship network of co-authors of Kevin Huang i

Fields of papers citing papers by Kevin Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kevin Huang

Since Specialization
Citations

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