Stephen Chang
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Surgery
- Co-authors
- Chee‐Kong ChuiSim Heng OngBing Nan LiMargaret H. PuiJing QinRong WenDavide LomantoKah Bin Lim
- Topics
- Medical Image Segmentation Techniques (6 papers)Soft Robotics and Applications (5 papers)Augmented Reality Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsJournal of Theoretical Biology
In The Last Decade
Stephen Chang
19 papers receiving 551 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 318
- Radiology, Nuclear Medicine and Imaging 129
- Artificial Intelligence 117
- Biomedical Engineering 114
- Surgery 90
Countries citing papers authored by Stephen Chang
This map shows the geographic impact of Stephen 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 Stephen Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Chang more than expected).
Fields of papers citing papers by Stephen Chang
This network shows the impact of papers produced by Stephen 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 Stephen Chang. The network helps show where Stephen Chang may publish in the future.
Co-authorship network of co-authors of Stephen Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Chang. A scholar is included among the top collaborators of Stephen 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 Stephen Chang. Stephen 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 | 9 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 23 | |
| 7 | 76 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | Integrating spatial fuzzy clustering with level set methods for automated medical image segmentationbreakdown → | 315 |
| 16 | 38 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 27 |
About Stephen Chang
Stephen Chang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Hepatology, having authored 20 papers that have together received 577 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (5 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Neurology (64 citations) and Media Technology (64 citations). Stephen Chang has collaborated with scholars based in Singapore, Japan and China. Frequent co-authors include Chee‐Kong Chui, Sim Heng Ong, Bing Nan Li, Margaret H. Pui, Jing Qin, Rong Wen, Davide Lomanto, Kah Bin Lim, L. Yang and Zimei Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Theoretical Biology.
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.