Jane Yung-jen Hsu

82 papers and 603 indexed citations i.

About

Jane Yung-jen Hsu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jane Yung-jen Hsu has authored 82 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 16 papers in Computer Networks and Communications. Recurrent topics in Jane Yung-jen Hsu’s work include Topic Modeling (13 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Natural Language Processing Techniques (9 papers). Jane Yung-jen Hsu is often cited by papers focused on Topic Modeling (13 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Natural Language Processing Techniques (9 papers). Jane Yung-jen Hsu collaborates with scholars based in Taiwan, United States and The Netherlands. Jane Yung-jen Hsu's co-authors include I‐Jen Chiang, Yi-Ting Chiang, Ching-Hu Lu, Richard Tzong‐Han Tsai, Newton Howard, Amir Hussain, Erik Cambria, Li‐Chen Fu, Hao-Hua Chu and Shoou-I Yu and has published in prestigious journals such as Physical Therapy, Fuzzy Sets and Systems and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Jane Yung-jen Hsu i

Fields of papers citing papers by Jane Yung-jen Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Yung-jen Hsu. 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 Jane Yung-jen Hsu. The network helps show where Jane Yung-jen Hsu may publish in the future.

Countries citing papers authored by Jane Yung-jen Hsu

Since Specialization
Citations

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