Shih-Yeh Chen

35 total papers · 532 total citations
25 papers, 324 citations indexed

About

Shih-Yeh Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Education. According to data from OpenAlex, Shih-Yeh Chen has authored 25 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Science Applications and 6 papers in Education. Recurrent topics in Shih-Yeh Chen's work include Augmented Reality Applications (5 papers), Online Learning and Analytics (5 papers) and IoT and Edge/Fog Computing (3 papers). Shih-Yeh Chen is often cited by papers focused on Augmented Reality Applications (5 papers), Online Learning and Analytics (5 papers) and IoT and Edge/Fog Computing (3 papers). Shih-Yeh Chen collaborates with scholars based in Taiwan, Malaysia and China. Shih-Yeh Chen's co-authors include Pei‐Hsuan Lin, Chin‐Feng Lai, Ying-Hsun Lai, Yu‐Shan Lin, Yueh‐Min Huang, Yu-Lin Jeng, Shiang-Yao Liu, Wei-Che Chien, Lennon Y. C. Chang and Chia‐Wei Tsai and has published in prestigious journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Frontiers in Psychology.

In The Last Decade

Shih-Yeh Chen

23 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Shih-Yeh Chen 102 92 75 73 65 25 324
Pablo Torres-Carrión 66 0.6× 48 0.5× 29 0.4× 40 0.5× 43 0.7× 29 339
Iván Sanchéz Milara 96 0.9× 65 0.7× 58 0.8× 30 0.4× 38 0.6× 38 327
Paul E. Dickson 74 0.7× 108 1.2× 88 1.2× 61 0.8× 53 0.8× 36 344
Bin Hou 140 1.4× 48 0.5× 65 0.9× 52 0.7× 44 0.7× 56 287
Jurike V. Moniaga 77 0.8× 34 0.4× 37 0.5× 33 0.5× 36 0.6× 49 309
Padmashree Desai 60 0.6× 62 0.7× 91 1.2× 28 0.4× 70 1.1× 42 326
Guillermo Rodríguez 153 1.5× 79 0.9× 25 0.3× 72 1.0× 25 0.4× 42 307
Yuh-Ming Cheng 65 0.6× 50 0.5× 30 0.4× 75 1.0× 84 1.3× 25 263
Lim Kok Cheng 108 1.1× 28 0.3× 121 1.6× 37 0.5× 56 0.9× 30 340
Luis Barba-Guamán 77 0.8× 50 0.5× 70 0.9× 13 0.2× 47 0.7× 28 317

Countries citing papers authored by Shih-Yeh Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Yeh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Yeh Chen. 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 Shih-Yeh Chen. The network helps show where Shih-Yeh Chen may publish in the future.

Co-authorship network of co-authors of Shih-Yeh Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Yeh Chen. A scholar is included among the top collaborators of Shih-Yeh Chen 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 Shih-Yeh Chen. Shih-Yeh Chen 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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