Pao‐Chi Chang

173 total papers · 1.6k total citations
120 papers, 1.1k citations indexed

About

Pao‐Chi Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Pao‐Chi Chang has authored 120 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Vision and Pattern Recognition, 75 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in Pao‐Chi Chang's work include Video Coding and Compression Technologies (40 papers), Advanced Data Compression Techniques (29 papers) and Advanced Vision and Imaging (24 papers). Pao‐Chi Chang is often cited by papers focused on Video Coding and Compression Technologies (40 papers), Advanced Data Compression Techniques (29 papers) and Advanced Vision and Imaging (24 papers). Pao‐Chi Chang collaborates with scholars based in Taiwan, United States and China. Pao‐Chi Chang's co-authors include Robert M. Gray, Shih-Wei Sun, Chun-Shien Lu, B.-H. Juang, Kai-Wen Liang, Ssu‐Han Chen, Jia‐Ching Wang, R. Wang, Wei‐Lun Hsu and Chih–Wei Huang and has published in prestigious journals such as Sensors, IEEE Transactions on Vehicular Technology and Remote Sensing.

In The Last Decade

Pao‐Chi Chang

111 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Pao‐Chi Chang 552 408 383 369 179 120 1.1k
Laura Toni 500 0.9× 286 0.7× 301 0.8× 368 1.0× 104 0.6× 68 949
Nikolaos Thomos 427 0.8× 435 1.1× 247 0.6× 634 1.7× 106 0.6× 85 1.1k
Chenglin Li 623 1.1× 220 0.5× 288 0.8× 359 1.0× 160 0.9× 119 1.1k
Chong‐Min Kyung 536 1.0× 417 1.0× 228 0.6× 328 0.9× 194 1.1× 165 1.3k
Andrew Hines 270 0.5× 254 0.6× 427 1.1× 517 1.4× 184 1.0× 86 1.2k
Zhengding Qiu 320 0.6× 511 1.3× 169 0.4× 333 0.9× 126 0.7× 124 1.1k
Myung Hoon Sunwoo 335 0.6× 407 1.0× 436 1.1× 173 0.5× 173 1.0× 167 932
Maurizio Martina 461 0.8× 537 1.3× 279 0.7× 334 0.9× 281 1.6× 145 1.3k
Junni Zou 797 1.4× 365 0.9× 296 0.8× 517 1.4× 199 1.1× 129 1.4k
Ashfaq Khokhar 315 0.6× 305 0.7× 131 0.3× 580 1.6× 233 1.3× 86 1.1k

Countries citing papers authored by Pao‐Chi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pao‐Chi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pao‐Chi Chang

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