Yu-Lin Chang
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Media Technology top 5%
- Computer Networks and Communications
- Orthodontics top 10%
- Topics
- Advanced Vision and Imaging (13 papers)Advanced Image Processing Techniques (8 papers)Video Coding and Compression Technologies (7 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on CommunicationsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu-Lin Chang
31 papers receiving 484 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 359
- Signal Processing 148
- Media Technology 109
- Computer Networks and Communications 57
- Orthodontics 53
Countries citing papers authored by Yu-Lin Chang
This map shows the geographic impact of Yu-Lin 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 Yu-Lin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Lin Chang more than expected).
Fields of papers citing papers by Yu-Lin Chang
This network shows the impact of papers produced by Yu-Lin 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 Yu-Lin Chang. The network helps show where Yu-Lin Chang may publish in the future.
Co-authorship network of co-authors of Yu-Lin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Lin Chang. A scholar is included among the top collaborators of Yu-Lin 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 Yu-Lin Chang. Yu-Lin Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 33 | |
| 3 | 20 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | 19 | |
| 10 | 40 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 36 | |
| 15 | 2 | |
| 16 | 23 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | Correlation of petroleum component properties for caustic flooding | 9 |
About Yu-Lin Chang
Yu-Lin Chang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 33 papers that have together received 523 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Advanced Image Processing Techniques (8 papers) and Video Coding and Compression Technologies (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Complementary and Manual Therapy (33 citations) and Signal Processing (148 citations). Yu-Lin Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Liang‐Gee Chen, Li-Fu Ding, Chen Wy, Yi‐Min Tsai, M.T. Liu, M. Singhal, Ching-Yeh Chen, Yuhao Huang, Chia-Ping Chen and Shao‐Yi Chien. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and IEEE Transactions on Circuits and Systems for Video Technology.
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.