Shyang‐Lih Chang
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 0.5%
- Building and Construction top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yun-Chung ChungSei-Wang ChenChen‐Chien HsuWern‐Yarng ShiehHsin‐Chuan ChenWei‐Yen WangShun‐Feng Su
- Topics
- Image Enhancement Techniques (3 papers)Semiconductor Lasers and Optical Devices (2 papers)Advanced Image Processing Techniques (2 papers)
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIET Intelligent Transport SystemsProceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
- Partner nations
- TaiwanUnited States
In The Last Decade
Shyang‐Lih Chang
7 papers receiving 593 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 530
- Media Technology 516
- Building and Construction 183
- Artificial Intelligence 113
- Electrical and Electronic Engineering 46
Countries citing papers authored by Shyang‐Lih Chang
This map shows the geographic impact of Shyang‐Lih 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 Shyang‐Lih Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyang‐Lih Chang more than expected).
Fields of papers citing papers by Shyang‐Lih Chang
This network shows the impact of papers produced by Shyang‐Lih 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 Shyang‐Lih Chang. The network helps show where Shyang‐Lih Chang may publish in the future.
Co-authorship network of co-authors of Shyang‐Lih Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Shyang‐Lih Chang. A scholar is included among the top collaborators of Shyang‐Lih 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 Shyang‐Lih Chang. Shyang‐Lih 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 | 8 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 34 | |
| 5 | 15 | |
| 6 | 45 | |
| 7 | 3 | |
| 8 | Automatic license plate recognitionbreakdown → | 555 |
About Shyang‐Lih Chang
Shyang‐Lih Chang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 8 papers that have together received 680 indexed citations. Recurring topics across this work include Image Enhancement Techniques (3 papers), Semiconductor Lasers and Optical Devices (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Media Technology (516 citations), Computer Vision and Pattern Recognition (530 citations) and Building and Construction (183 citations). Shyang‐Lih Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yun-Chung Chung, Sei-Wang Chen, Chen‐Chien Hsu, Wern‐Yarng Shieh, Hsin‐Chuan Chen, Wei‐Yen Wang and Shun‐Feng Su. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IET Intelligent Transport Systems and Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
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.