Jen-tse Huang

8 papers and 81 indexed citations i.

About

Jen-tse Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jen-tse Huang has authored 8 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Jen-tse Huang’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Jen-tse Huang is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Jen-tse Huang collaborates with scholars based in Hong Kong and China. Jen-tse Huang's co-authors include Jianping Zhang, Michael R. Lyu, Yuxin Su, Wenxuan Wang, Weibin Wu, Xiaosen Wang, Yichen Li, Pinjia He, Shuming Shi and Zhiwei He and has published in prestigious journals such as Neurocomputing, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jen-tse Huang i

Fields of papers citing papers by Jen-tse Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jen-tse Huang

Since Specialization
Citations

This map shows the geographic impact of Jen-tse 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 Jen-tse Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen-tse 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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2025