Shyr-Shen Yu

132 total papers · 1.3k total citations
79 papers, 709 citations indexed

About

Shyr-Shen Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shyr-Shen Yu has authored 79 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 31 papers in Computational Theory and Mathematics and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shyr-Shen Yu's work include semigroups and automata theory (30 papers), Algorithms and Data Compression (12 papers) and DNA and Biological Computing (10 papers). Shyr-Shen Yu is often cited by papers focused on semigroups and automata theory (30 papers), Algorithms and Data Compression (12 papers) and DNA and Biological Computing (10 papers). Shyr-Shen Yu collaborates with scholars based in Taiwan, Canada and United States. Shyr-Shen Yu's co-authors include Yung‐Kuan Chan, Chuin-Mu Wang, Chen‐Chung Liu, Ting-Cheng Chang, Chun-Yuan Yu, Helmut Jürgensen, H. J. Shyr, Meng-Hsiun Tsai, Hsien-Chu Wu and Yuchi Liu and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Plant Science and Pattern Recognition.

In The Last Decade

Shyr-Shen Yu

72 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
Shyr-Shen Yu	323	278	140	135	97	79	709
Mingyu Lu	303 0.9×	340 1.2×	42 0.3×	92 0.7×	80 0.8×	121	798
Devvi Sarwinda	326 1.0×	225 0.8×	276 2.0×	29 0.2×	78 0.8×	79	840
Sa’ed Abed	223 0.7×	225 0.8×	120 0.9×	61 0.5×	33 0.3×	90	684
Samir Elmougy	327 1.0×	228 0.8×	203 1.4×	45 0.3×	29 0.3×	70	907
K. Ganesan	137 0.4×	306 1.1×	65 0.5×	47 0.3×	21 0.2×	49	696
Munish Khanna	297 0.9×	266 1.0×	403 2.9×	32 0.2×	65 0.7×	44	882
Claudio Marrocco	373 1.2×	257 0.9×	181 1.3×	18 0.1×	41 0.4×	46	649
Rui Tang	327 1.0×	78 0.3×	52 0.4×	57 0.4×	61 0.6×	44	668
Shubham Mahajan	234 0.7×	125 0.4×	63 0.5×	73 0.5×	45 0.5×	87	822
Law Kumar Singh	299 0.9×	287 1.0×	442 3.2×	29 0.2×	66 0.7×	45	902

Countries citing papers authored by Shyr-Shen Yu

Since Specialization

Citations

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

Fields of papers citing papers by Shyr-Shen Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shyr-Shen Yu. 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 Shyr-Shen Yu. The network helps show where Shyr-Shen Yu may publish in the future.

Co-authorship network of co-authors of Shyr-Shen Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shyr-Shen Yu. A scholar is included among the top collaborators of Shyr-Shen Yu 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 Shyr-Shen Yu. Shyr-Shen Yu 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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