Yi-Pei Hsieh

14 total papers · 402 total citations
10 papers, 324 citations indexed

About

Yi-Pei Hsieh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Yi-Pei Hsieh has authored 10 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, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Yi-Pei Hsieh's work include Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Data Compression Techniques (4 papers). Yi-Pei Hsieh is often cited by papers focused on Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Data Compression Techniques (4 papers). Yi-Pei Hsieh collaborates with scholars based in Taiwan. Yi-Pei Hsieh's co-authors include Chin‐Chen Chang, Chia-Hsuan Lin, Chih‐Yang Lin, Li‐Jen Liu, Yung‐Chen Chou, Wen-Chuan Wu and C. C. Chang and has published in prestigious journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Yi-Pei Hsieh

10 papers receiving 298 citations

Author Peers

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

Author Last Decade Papers Cites
Yi-Pei Hsieh 320 88 23 16 15 10 324
Michel Cozic 273 0.9× 106 1.2× 27 1.2× 20 1.3× 13 0.9× 12 330
Dalel Bouslimi 321 1.0× 61 0.7× 36 1.6× 30 1.9× 11 0.7× 19 350
Andreas Westfeld 253 0.8× 30 0.3× 40 1.7× 8 0.5× 7 0.5× 13 274
Po-Whei Huang 277 0.9× 58 0.7× 34 1.5× 23 1.4× 8 0.5× 11 358
Axel Brink 286 0.9× 106 1.2× 14 0.6× 10 0.6× 6 0.4× 10 301
Weiwei Sun 310 1.0× 61 0.7× 19 0.8× 17 1.1× 2 0.1× 19 353
Kai-Hui Lee 238 0.7× 34 0.4× 28 1.2× 15 0.9× 6 0.4× 15 293
Jun-Chou Chuang 282 0.9× 21 0.2× 24 1.0× 6 0.4× 8 0.5× 17 296
Daidou Guo 249 0.8× 22 0.3× 21 0.9× 7 0.4× 3 0.2× 13 266
Vladimir Pervouchine 160 0.5× 180 2.0× 13 0.6× 26 1.6× 6 0.4× 14 270

Countries citing papers authored by Yi-Pei Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Pei Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Pei Hsieh. 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 Yi-Pei Hsieh. The network helps show where Yi-Pei Hsieh may publish in the future.

Co-authorship network of co-authors of Yi-Pei Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Pei Hsieh. A scholar is included among the top collaborators of Yi-Pei Hsieh 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 Yi-Pei Hsieh. Yi-Pei Hsieh 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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