Da‐Chuan Cheng
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Jui‐Teng LinShing-Hong LiuArno Schmidt‐TrucksässHans BurkhardtKuo‐Sheng ChengXiaoyi JiangHsia‐Wei LiuChun-Hung Su
- Topics
- Photopolymerization techniques and applications (15 papers)Cardiovascular Health and Disease Prevention (14 papers)Cerebrovascular and Carotid Artery Diseases (12 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- TaiwanGermanyUnited States
In The Last Decade
Da‐Chuan Cheng
70 papers receiving 920 citations
Peers
Comparison fields: 5 of 98
- Cardiology and Cardiovascular Medicine 335
- Pulmonary and Respiratory Medicine 281
- Biomedical Engineering 254
- Radiology, Nuclear Medicine and Imaging 223
- Computer Vision and Pattern Recognition 178
Countries citing papers authored by Da‐Chuan Cheng
This map shows the geographic impact of Da‐Chuan Cheng'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 Da‐Chuan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da‐Chuan Cheng more than expected).
Fields of papers citing papers by Da‐Chuan Cheng
This network shows the impact of papers produced by Da‐Chuan Cheng. 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 Da‐Chuan Cheng. The network helps show where Da‐Chuan Cheng may publish in the future.
Co-authorship network of co-authors of Da‐Chuan Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Da‐Chuan Cheng. A scholar is included among the top collaborators of Da‐Chuan Cheng 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 Da‐Chuan Cheng. Da‐Chuan Cheng 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 42 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Automated Vessel Boundary Detection Using 3D Expansion of Dynamic Programming. | 1 |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 33 | |
| 16 | 50 | |
| 17 | 31 | |
| 18 | 124 | |
| 19 | 9 | |
| 20 | 30 |
About Da‐Chuan Cheng
Da‐Chuan Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 74 papers that have together received 977 indexed citations. Recurring topics across this work include Photopolymerization techniques and applications (15 papers), Cardiovascular Health and Disease Prevention (14 papers) and Cerebrovascular and Carotid Artery Diseases (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (335 citations), Radiology, Nuclear Medicine and Imaging (223 citations) and Computer Vision and Pattern Recognition (178 citations). Da‐Chuan Cheng has collaborated with scholars based in Taiwan, Germany and United States. Frequent co-authors include Jui‐Teng Lin, Shing-Hong Liu, Arno Schmidt‐Trucksäss, Hans Burkhardt, Kuo‐Sheng Cheng, Xiaoyi Jiang, Hsia‐Wei Liu, Chun-Hung Su, Chia‐Hung Kao and Te‐Chun Hsieh. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Access.
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.