Chi‐Shiang Chan

58 total papers · 516 total citations
40 papers, 372 citations indexed

About

Chi‐Shiang Chan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chi‐Shiang Chan has authored 40 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chi‐Shiang Chan's work include Advanced Steganography and Watermarking Techniques (32 papers), Chaos-based Image/Signal Encryption (26 papers) and Digital Media Forensic Detection (21 papers). Chi‐Shiang Chan is often cited by papers focused on Advanced Steganography and Watermarking Techniques (32 papers), Chaos-based Image/Signal Encryption (26 papers) and Digital Media Forensic Detection (21 papers). Chi‐Shiang Chan collaborates with scholars based in Taiwan, United Kingdom and Japan. Chi‐Shiang Chan's co-authors include Chin‐Chen Chang, Pei-Yu Lin, Yi-Hsuan Fan, Yuan‐Yu Tsai, Ching-Yun Chang, Wei‐Liang Tai, Honglin Liu, Yu‐Chen Hu, Chih‐Yang Lin and Zi-Wei Lin and has published in prestigious journals such as IEEE Access, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Chi‐Shiang Chan

39 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
Chi‐Shiang Chan 358 66 19 16 13 40 372
Shoko Imaizumi 335 0.9× 91 1.4× 37 1.9× 5 0.3× 13 1.0× 43 373
Hao-Kuan Tso 369 1.0× 44 0.7× 13 0.7× 12 0.8× 15 1.2× 20 382
Michiharu Niimi 350 1.0× 37 0.6× 25 1.3× 6 0.4× 10 0.8× 54 383
Gordon W. Braudaway 361 1.0× 25 0.4× 34 1.8× 37 2.3× 35 2.7× 21 406
Yan Ke 285 0.8× 58 0.9× 20 1.1× 5 0.3× 14 1.1× 34 361
Hidenori Kuwakado 293 0.8× 200 3.0× 20 1.1× 11 0.7× 15 1.2× 37 393
Masaaki Fujiyoshi 381 1.1× 49 0.7× 48 2.5× 8 0.5× 25 1.9× 92 405
Xiaofeng Song 375 1.0× 57 0.9× 21 1.1× 3 0.2× 11 0.8× 32 413
Lizhi Xiong 296 0.8× 86 1.3× 34 1.8× 5 0.3× 47 3.6× 25 369
Dalel Bouslimi 321 0.9× 61 0.9× 36 1.9× 3 0.2× 30 2.3× 19 350

Countries citing papers authored by Chi‐Shiang Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Shiang Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Shiang Chan. 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 Chi‐Shiang Chan. The network helps show where Chi‐Shiang Chan may publish in the future.

Co-authorship network of co-authors of Chi‐Shiang Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Shiang Chan. A scholar is included among the top collaborators of Chi‐Shiang Chan 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 Chi‐Shiang Chan. Chi‐Shiang Chan 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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