Chi-Hung Hwang
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Computational Mechanics top 10%
- Co-authors
- Wei-Chung WangChih‐Yen ChenWei-Yao HsuYung‐Hsiang ChenChun‐Li ChangWen‐Jyi HwangChin‐Sheng ChenJ. Andrew Yeh
- Topics
- Optical measurement and interference techniques (17 papers)Industrial Vision Systems and Defect Detection (12 papers)Surface Roughness and Optical Measurements (10 papers)
- Partner nations
- TaiwanUnited KingdomUnited States
In The Last Decade
Chi-Hung Hwang
68 papers receiving 471 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 235
- Biomedical Engineering 138
- Electrical and Electronic Engineering 128
- Mechanical Engineering 92
- Computational Mechanics 83
Countries citing papers authored by Chi-Hung Hwang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 29 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | Design and simulation of lightweight mirror for space application | 1 |
| 16 | 63 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | 119 | |
| 20 | 4 |
About Chi-Hung Hwang
Chi-Hung Hwang is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 71 papers that have together received 502 indexed citations. Recurring topics across this 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). The work is most often cited by research in Computer Vision and Pattern Recognition (235 citations), Media Technology (79 citations) and Biophysics (26 citations). Chi-Hung Hwang has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Wei-Chung Wang, Chih‐Yen Chen, Wei-Yao Hsu, Yung‐Hsiang Chen, Chun‐Li Chang, Wen‐Jyi Hwang, Chin‐Sheng Chen, J. Andrew Yeh, Wen‐Ching Wang and Chien‐Hung Chen. Their work appears in journals such as The Journal of Physical Chemistry C, IEEE Access and Sensors and Actuators B Chemical.
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.