Yeyun Gong

44 papers and 640 indexed citations i.

About

Yeyun Gong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yeyun Gong has authored 44 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Yeyun Gong’s work include Topic Modeling (30 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (13 papers). Yeyun Gong is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (13 papers). Yeyun Gong collaborates with scholars based in China, United Kingdom and United States. Yeyun Gong's co-authors include Nan Duan, Jimmy Xiangji Huang, Qi Zhang, Dayiheng Liu, Weizhen Qi, Ruofei Zhang, Ming Zhou, Yu Yan, Jiusheng Chen and Yang Wang and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Plasma Science and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Yeyun Gong i

Fields of papers citing papers by Yeyun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yeyun Gong

Since Specialization
Citations

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