Yuh‐Jye Lee

65 total papers · 2.4k total citations
44 papers, 1.7k citations indexed

About

Yuh‐Jye Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Yuh‐Jye Lee has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 11 papers in Computer Networks and Communications. Recurrent topics in Yuh‐Jye Lee's work include Face and Expression Recognition (17 papers), Network Security and Intrusion Detection (10 papers) and Neural Networks and Applications (8 papers). Yuh‐Jye Lee is often cited by papers focused on Face and Expression Recognition (17 papers), Network Security and Intrusion Detection (10 papers) and Neural Networks and Applications (8 papers). Yuh‐Jye Lee collaborates with scholars based in Taiwan, United States and Germany. Yuh‐Jye Lee's co-authors include O. L. Mangasarian, Su‐Yun Huang, Yi-Ren Yeh, Yu-Chiang Frank Wang, Hsing-Kuo Pao, Wolfgang Karl Härdle, Dorothea Schäfer, Tsung-Ju Lee, Yu‐Wen Chen and Yu-Wei Chao and has published in prestigious journals such as Pattern Recognition, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yuh‐Jye Lee

39 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuh‐Jye Lee 1.0k 727 294 234 221 44 1.7k
Bin Gu 839 0.8× 604 0.8× 191 0.6× 173 0.7× 111 0.5× 108 1.7k
Jyrki Kivinen 1.4k 1.4× 510 0.7× 143 0.5× 329 1.4× 406 1.8× 28 2.3k
Nikunj C. Oza 1.4k 1.4× 356 0.5× 188 0.6× 297 1.3× 347 1.6× 70 2.2k
Takashi Onoda 811 0.8× 476 0.7× 251 0.9× 91 0.4× 102 0.5× 73 1.4k
Yaoliang Yu 1.0k 1.0× 841 1.2× 53 0.2× 221 0.9× 117 0.5× 66 1.8k
Zili Zhang 862 0.8× 378 0.5× 153 0.5× 163 0.7× 119 0.5× 118 2.0k
Ayhan Demiriz 888 0.9× 548 0.8× 67 0.2× 114 0.5× 148 0.7× 30 1.4k
Haiqin Yang 1.0k 1.0× 569 0.8× 88 0.3× 169 0.7× 221 1.0× 81 2.1k
Martin Anthony 1.5k 1.4× 455 0.6× 149 0.5× 152 0.6× 69 0.3× 76 2.0k
Francesco Camastra 900 0.9× 776 1.1× 105 0.4× 65 0.3× 222 1.0× 39 1.8k

Countries citing papers authored by Yuh‐Jye Lee

Since Specialization
Citations

This map shows the geographic impact of Yuh‐Jye 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 Yuh‐Jye Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuh‐Jye Lee more than expected).

Fields of papers citing papers by Yuh‐Jye Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuh‐Jye 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 Yuh‐Jye Lee. The network helps show where Yuh‐Jye Lee may publish in the future.

Co-authorship network of co-authors of Yuh‐Jye Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Yuh‐Jye Lee. A scholar is included among the top collaborators of Yuh‐Jye Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuh‐Jye Lee. Yuh‐Jye Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026