Guang-He Lee

9 papers and 140 indexed citations i.

About

Guang-He Lee is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guang-He Lee has authored 9 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guang-He Lee’s work include Computational Drug Discovery Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning and Data Classification (2 papers). Guang-He Lee is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning and Data Classification (2 papers). Guang-He Lee collaborates with scholars based in United States and Taiwan. Guang-He Lee's co-authors include Chen-Yu Hsu, Dina Katabi, Hao He, Yonglong Tian, Tommi Jaakkola, Yun-Nung Chen, Bradley D. Olsen, Tzyy‐Shyang Lin, Shiyu Chang and Yuan Yang and has published in prestigious journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, PubMed Central and arXiv (Cornell University).

In The Last Decade

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

Fields of papers citing papers by Guang-He Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang-He Lee

Since Specialization
Citations

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