Chih‐Yuan Yang
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Economics and Econometrics
- Finance top 10%
- Biomedical Engineering
- Co-authors
- Ming–Hsuan YangChao MaXiaokang YangMing‐Chi ChenChia‐Chien ChangSifei LiuChou‐Wen WangJie‐Chung Lou
- Topics
- Housing Market and Economics (6 papers)Insurance and Financial Risk Management (4 papers)Financial Markets and Investment Strategies (3 papers)
- Journals
- International Journal of Computer VisionJournal of environmental chemical engineeringComputer Vision and Image Understanding
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chih‐Yuan Yang
15 papers receiving 492 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 383
- Media Technology 218
- Economics and Econometrics 60
- Finance 55
- Biomedical Engineering 25
Countries citing papers authored by Chih‐Yuan Yang
This map shows the geographic impact of Chih‐Yuan 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 Chih‐Yuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Yuan Yang more than expected).
Fields of papers citing papers by Chih‐Yuan Yang
This network shows the impact of papers produced by Chih‐Yuan 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 Chih‐Yuan Yang. The network helps show where Chih‐Yuan Yang may publish in the future.
Co-authorship network of co-authors of Chih‐Yuan Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Yuan Yang. A scholar is included among the top collaborators of Chih‐Yuan 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 Chih‐Yuan Yang. Chih‐Yuan 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 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | Learning a no-reference quality metric for single-image super-resolutionbreakdown → | 392 |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 3 |
About Chih‐Yuan Yang
Chih‐Yuan Yang is a scholar working on Finance, Accounting and Economics and Econometrics, having authored 15 papers that have together received 507 indexed citations. Recurring topics across this work include Housing Market and Economics (6 papers), Insurance and Financial Risk Management (4 papers) and Financial Markets and Investment Strategies (3 papers). The work is most often cited by research in Media Technology (218 citations), Computer Vision and Pattern Recognition (383 citations) and Finance (55 citations). Chih‐Yuan Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming–Hsuan Yang, Chao Ma, Xiaokang Yang, Ming‐Chi Chen, Chia‐Chien Chang, Sifei Liu, Chou‐Wen Wang, Jie‐Chung Lou, Tien Foo Sing and Wei–Hsiang Chen. Their work appears in journals such as International Journal of Computer Vision, Journal of environmental chemical engineering and Computer Vision and Image Understanding.
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.