Hsi‐Chin Hsin

61 total papers · 423 total citations
49 papers, 296 citations indexed

About

Hsi‐Chin Hsin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Hsi‐Chin Hsin has authored 49 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 21 papers in Signal Processing and 11 papers in Computational Theory and Mathematics. Recurrent topics in Hsi‐Chin Hsin's work include Image and Signal Denoising Methods (24 papers), Advanced Data Compression Techniques (22 papers) and Digital Filter Design and Implementation (17 papers). Hsi‐Chin Hsin is often cited by papers focused on Image and Signal Denoising Methods (24 papers), Advanced Data Compression Techniques (22 papers) and Digital Filter Design and Implementation (17 papers). Hsi‐Chin Hsin collaborates with scholars based in Taiwan, United States and Italy. Hsi‐Chin Hsin's co-authors include Tze‐Yun Sung, Robert J. Sclabassi, Mingui Sun, Ching-Chung Li, Shien‐Fong Lin, Mingui Sun, Neal D. Ryan, Sheng‐Fuu Lin, Carlo Cattani and Satish Iyengar and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Digital Signal Processing.

In The Last Decade

Hsi‐Chin Hsin

46 papers receiving 273 citations

Author Peers

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

Author Last Decade Papers Cites
Hsi‐Chin Hsin 169 108 58 55 45 49 296
Tze‐Yun Sung 154 0.9× 161 1.5× 107 1.8× 66 1.2× 39 0.9× 50 314
Izidor Gertner 154 0.9× 100 0.9× 27 0.5× 31 0.6× 39 0.9× 32 304
N. Radha 81 0.5× 108 1.0× 22 0.4× 71 1.3× 46 1.0× 66 277
Jianhua Chen 94 0.6× 59 0.5× 69 1.2× 18 0.3× 116 2.6× 54 314
Chu Yu 113 0.7× 149 1.4× 47 0.8× 130 2.4× 30 0.7× 49 300
Bharat Garg 103 0.6× 45 0.4× 28 0.5× 126 2.3× 33 0.7× 36 267
S. Mita 134 0.8× 27 0.3× 70 1.2× 85 1.5× 83 1.8× 41 313
W.K. Cham 276 1.6× 184 1.7× 19 0.3× 41 0.7× 26 0.6× 44 345
S. Arumugam 136 0.8× 38 0.4× 15 0.3× 22 0.4× 83 1.8× 50 292
N. Demassieux 164 1.0× 186 1.7× 19 0.3× 85 1.5× 20 0.4× 28 286

Countries citing papers authored by Hsi‐Chin Hsin

Since Specialization
Citations

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

Fields of papers citing papers by Hsi‐Chin Hsin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsi‐Chin Hsin. 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 Hsi‐Chin Hsin. The network helps show where Hsi‐Chin Hsin may publish in the future.

Co-authorship network of co-authors of Hsi‐Chin Hsin

This figure shows the co-authorship network connecting the top 25 collaborators of Hsi‐Chin Hsin. A scholar is included among the top collaborators of Hsi‐Chin Hsin 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 Hsi‐Chin Hsin. Hsi‐Chin Hsin 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