Steven Y. Feng

8 papers and 242 indexed citations i.

About

Steven Y. Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Steven Y. Feng has authored 8 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in Steven Y. Feng’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (4 papers). Steven Y. Feng is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (4 papers). Steven Y. Feng collaborates with scholars based in United States, Canada and United Kingdom. Steven Y. Feng's co-authors include Varun Gangal, Eduard Hovy, Teruko Mitamura, Soroush Vosoughi, Jason Wei, Sarath Chandar, Dongyeop Kang, Onur C. Hamsici, Dong-Hoon Lee and Malihe Alikhani and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Steven Y. Feng i

Fields of papers citing papers by Steven Y. Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Y. Feng. 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 Steven Y. Feng. The network helps show where Steven Y. Feng may publish in the future.

Countries citing papers authored by Steven Y. Feng

Since Specialization
Citations

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