Jui-Cheng Yen

39 total papers · 1.5k total citations
27 papers, 1.0k citations indexed

About

Jui-Cheng Yen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jui-Cheng Yen has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Jui-Cheng Yen's work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Cellular Automata and Applications (4 papers). Jui-Cheng Yen is often cited by papers focused on Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Cellular Automata and Applications (4 papers). Jui-Cheng Yen collaborates with scholars based in Taiwan. Jui-Cheng Yen's co-authors include Shyang Chang, Jiun-In Guo, Jiun-In Guo, Ray-Shine Run, Hung‐Chun Chen and Po‐Wei Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Jui-Cheng Yen

26 papers receiving 946 citations

Hit Papers

A new criterion for autom... 1995 2026 2005 2015 1995 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Jui-Cheng Yen 573 201 101 79 77 27 1.0k
Hong Liu 377 0.7× 192 1.0× 34 0.3× 45 0.6× 89 1.2× 76 801
Di‐Rong Chen 327 0.6× 262 1.3× 42 0.4× 55 0.7× 51 0.7× 79 957
Ye Liu 889 1.6× 201 1.0× 31 0.3× 190 2.4× 83 1.1× 74 1.1k
Enrique Efrén García-Guerrero 498 0.9× 180 0.9× 51 0.5× 133 1.7× 46 0.6× 43 1.1k
Wei Zhu 928 1.6× 281 1.4× 188 1.9× 24 0.3× 43 0.6× 39 1.1k
Manoj Kumar 606 1.1× 143 0.7× 162 1.6× 33 0.4× 22 0.3× 48 991
Rémi Flamary 411 0.7× 530 2.6× 197 2.0× 30 0.4× 48 0.6× 39 1.2k
Levent Sagun 380 0.7× 430 2.1× 54 0.5× 37 0.5× 34 0.4× 18 861
Yirui Wu 506 0.9× 345 1.7× 100 1.0× 33 0.4× 43 0.6× 74 1.1k
Junhao Zhang 460 0.8× 163 0.8× 114 1.1× 27 0.3× 16 0.2× 61 840

Countries citing papers authored by Jui-Cheng Yen

Since Specialization
Citations

This map shows the geographic impact of Jui-Cheng Yen'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 Jui-Cheng Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Cheng Yen more than expected).

Fields of papers citing papers by Jui-Cheng Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui-Cheng Yen. 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 Jui-Cheng Yen. The network helps show where Jui-Cheng Yen may publish in the future.

Co-authorship network of co-authors of Jui-Cheng Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Jui-Cheng Yen. A scholar is included among the top collaborators of Jui-Cheng Yen 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 Jui-Cheng Yen. Jui-Cheng Yen 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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