Hao-Hsiang Yang
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Safety, Risk, Reliability and Quality top 10%
- Computer Graphics and Computer-Aided Design top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Wei‐Ting ChenSy‐Yen KuoYanwei FuKuan‐Chih HuangZhi-Kai HuangJian–Jiun DingChao-Han Huck YangYichang Tsai
- Topics
- Image Enhancement Techniques (9 papers)Advanced Neural Network Applications (5 papers)Advanced Image Processing Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Applied Physics LettersIEEE Transactions on Electron DevicesInternational Journal of Medical Sciences
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Hao-Hsiang Yang
15 papers receiving 317 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 276
- Media Technology 117
- Safety, Risk, Reliability and Quality 29
- Computer Graphics and Computer-Aided Design 16
- Radiology, Nuclear Medicine and Imaging 14
Countries citing papers authored by Hao-Hsiang Yang
This map shows the geographic impact of Hao-Hsiang Yang'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 Hao-Hsiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao-Hsiang Yang more than expected).
Fields of papers citing papers by Hao-Hsiang Yang
This network shows the impact of papers produced by Hao-Hsiang Yang. 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 Hao-Hsiang Yang. The network helps show where Hao-Hsiang Yang may publish in the future.
Co-authorship network of co-authors of Hao-Hsiang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Hao-Hsiang Yang. A scholar is included among the top collaborators of Hao-Hsiang Yang 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 Hao-Hsiang Yang. Hao-Hsiang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 114 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 55 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 54 | |
| 12 | 52 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 2 |
About Hao-Hsiang Yang
Hao-Hsiang Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 15 papers that have together received 325 indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Advanced Neural Network Applications (5 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (276 citations), Media Technology (117 citations) and Computer Graphics and Computer-Aided Design (16 citations). Hao-Hsiang Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wei‐Ting Chen, Sy‐Yen Kuo, Yanwei Fu, Kuan‐Chih Huang, Zhi-Kai Huang, Jian–Jiun Ding, Chao-Han Huck Yang, Yichang Tsai, Chao‐Hsin Wu and Chou‐Chin Lan. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Electron Devices and International Journal of Medical Sciences.
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.