He He

66 papers and 1.7k indexed citations i.

About

He He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, He He has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in He He’s work include Topic Modeling (30 papers), Natural Language Processing Techniques (23 papers) and Multimodal Machine Learning Applications (8 papers). He He is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (23 papers) and Multimodal Machine Learning Applications (8 papers). He He collaborates with scholars based in United States, China and Japan. He He's co-authors include Dongrui Wu, Percy Liang, Hal Daumé, Jason Eisner, Zhiliang Hong, Eunsol Choi, Anusha Balakrishnan, Peng Qi, Luke Zettlemoyer and Urvashi Khandelwal and has published in prestigious journals such as Nature, Journal of Physics Condensed Matter and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of He He i

Fields of papers citing papers by He He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by He He

Since Specialization
Citations

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