Hsiao-Te Chang

10 total papers · 470 total citations
10 papers, 333 citations indexed

About

Hsiao-Te Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Hsiao-Te Chang has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Hsiao-Te Chang's work include Neural Networks and Applications (8 papers), Face and Expression Recognition (5 papers) and Fuzzy Logic and Control Systems (2 papers). Hsiao-Te Chang is often cited by papers focused on Neural Networks and Applications (8 papers), Face and Expression Recognition (5 papers) and Fuzzy Logic and Control Systems (2 papers). Hsiao-Te Chang collaborates with scholars based in Taiwan. Hsiao-Te Chang's co-authors include Mu‐Chun Su, Jen‐Jia Lin, Mu-Chun Su, Ta‐Kang Liu and Chien-Hsing Chou and has published in prestigious journals such as Fuzzy Sets and Systems, Urban Studies and Neural Processing Letters.

In The Last Decade

Hsiao-Te Chang

9 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Hsiao-Te Chang 157 96 94 39 27 10 333
José Luís Espinosa-Aranda 105 0.7× 106 1.1× 92 1.0× 22 0.6× 11 0.4× 21 324
Douglas McIlwraith 44 0.3× 74 0.8× 95 1.0× 44 1.1× 10 0.4× 15 315
Fei Yi 94 0.6× 79 0.8× 139 1.5× 8 0.2× 13 0.5× 23 332
Nasser Albogami 107 0.7× 60 0.6× 35 0.4× 30 0.8× 4 0.1× 12 399
Matthew Veres 72 0.5× 54 0.6× 69 0.7× 88 2.3× 12 0.4× 10 357
Zhihang Fu 155 1.0× 250 2.6× 25 0.3× 21 0.5× 10 0.4× 15 401
Jiawei Zhan 68 0.4× 146 1.5× 33 0.4× 46 1.2× 15 0.6× 8 307
Mansoor Nasir 62 0.4× 182 1.9× 14 0.1× 17 0.4× 20 0.7× 11 377
Jinghuan Guo 154 1.0× 97 1.0× 20 0.2× 62 1.6× 9 0.3× 6 390
Mohamed Fazeen 54 0.3× 63 0.7× 41 0.4× 19 0.5× 62 2.3× 6 300

Countries citing papers authored by Hsiao-Te Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao-Te Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Te 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 Hsiao-Te Chang. The network helps show where Hsiao-Te Chang may publish in the future.

Co-authorship network of co-authors of Hsiao-Te Chang

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