Chi-Hung Hwang

135 total papers · 687 total citations
71 papers, 503 citations indexed

About

Chi-Hung Hwang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Chi-Hung Hwang has authored 71 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 22 papers in Electrical and Electronic Engineering and 17 papers in Biomedical Engineering. Recurrent topics in Chi-Hung Hwang's work include Optical measurement and interference techniques (17 papers), Industrial Vision Systems and Defect Detection (12 papers) and Surface Roughness and Optical Measurements (10 papers). Chi-Hung Hwang is often cited by papers focused on Optical measurement and interference techniques (17 papers), Industrial Vision Systems and Defect Detection (12 papers) and Surface Roughness and Optical Measurements (10 papers). Chi-Hung Hwang collaborates with scholars based in Taiwan, United States and United Kingdom. Chi-Hung Hwang's co-authors include Wei-Chung Wang, Chih‐Yen Chen, Wei-Yao Hsu, Yung‐Hsiang Chen, Chun‐Li Chang, Wen‐Jyi Hwang, Wen‐Ching Wang, Chin‐Sheng Chen, Chien‐Hung Chen and J. Andrew Yeh and has published in prestigious journals such as The Journal of Physical Chemistry C, IEEE Access and Sensors and Actuators B Chemical.

In The Last Decade

Chi-Hung Hwang

68 papers receiving 472 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-Hung Hwang 237 138 128 92 83 71 503
Alejandro Federico 346 1.5× 82 0.6× 102 0.8× 98 1.1× 61 0.7× 48 547
Jorge L. Flores 462 1.9× 116 0.8× 116 0.9× 152 1.7× 52 0.6× 72 619
Robert Kuschmierz 123 0.5× 203 1.5× 93 0.7× 142 1.5× 40 0.5× 47 447
Daniel Francis 199 0.8× 76 0.6× 272 2.1× 96 1.0× 54 0.7× 52 560
Pierre Jacquot 324 1.4× 102 0.7× 64 0.5× 124 1.3× 89 1.1× 49 514
Zixin Zhao 345 1.5× 100 0.7× 120 0.9× 73 0.8× 40 0.5× 53 564
Bin Xue 141 0.6× 79 0.6× 207 1.6× 151 1.6× 44 0.5× 56 560
Young-Pil Park 67 0.3× 281 2.0× 172 1.3× 72 0.8× 52 0.6× 88 610
Dengfeng Kuang 84 0.4× 184 1.3× 163 1.3× 54 0.6× 57 0.7× 55 508
Gustavo E. Galizzi 310 1.3× 90 0.7× 54 0.4× 164 1.8× 68 0.8× 34 467

Countries citing papers authored by Chi-Hung Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Hung Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Hung Hwang. 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-Hung Hwang. The network helps show where Chi-Hung Hwang may publish in the future.

Co-authorship network of co-authors of Chi-Hung Hwang

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