Kuo‐Sheng Cheng
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Geophysics top 5%
- Co-authors
- David IsaacsonD.G. GisserJ.C. NewellJzau‐Sheng LinDa‐Chuan ChengArno Schmidt‐TrucksässJia-Kuang LiuYen‐Ting Chen
- Topics
- Electrical and Bioimpedance Tomography (18 papers)Neural Networks and Applications (8 papers)Body Composition Measurement Techniques (7 papers)
- Cited by
- GeophysicsOrthodonticsOral Surgery
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Kuo‐Sheng Cheng
90 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Electrical and Electronic Engineering 549
- Biomedical Engineering 318
- Computer Vision and Pattern Recognition 253
- Pulmonary and Respiratory Medicine 240
- Geophysics 237
Countries citing papers authored by Kuo‐Sheng Cheng
This map shows the geographic impact of Kuo‐Sheng 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 Kuo‐Sheng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Sheng Cheng more than expected).
Fields of papers citing papers by Kuo‐Sheng Cheng
This network shows the impact of papers produced by Kuo‐Sheng 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 Kuo‐Sheng Cheng. The network helps show where Kuo‐Sheng Cheng may publish in the future.
Co-authorship network of co-authors of Kuo‐Sheng Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Sheng Cheng. A scholar is included among the top collaborators of Kuo‐Sheng 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 Kuo‐Sheng Cheng. Kuo‐Sheng 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 37 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | Advances in Multimedia Information Processing - PCM 2008: 9th Pacific Rim Conference on Multimedia, Tainan, Taiwan, December 9-13, 2008, Proceedings | 1 |
| 16 | 47 | |
| 17 | Quantitatively Characterizing the Texture Feature of Ultrasonic Images for Breast Cancer with Histopathological Correlation | 1 |
| 18 | 124 | |
| 19 | 71 | |
| 20 | 40 |
About Kuo‐Sheng Cheng
Kuo‐Sheng Cheng is a scholar working on Oral Surgery, Computer Vision and Pattern Recognition and Neurology, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (18 papers), Neural Networks and Applications (8 papers) and Body Composition Measurement Techniques (7 papers). The work is most often cited by research in Geophysics (237 citations), Orthodontics (71 citations) and Oral Surgery (100 citations). Kuo‐Sheng Cheng has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include David Isaacson, D.G. Gisser, J.C. Newell, Jzau‐Sheng Lin, Da‐Chuan Cheng, Arno Schmidt‐Trucksäss, Jia-Kuang Liu, Yen‐Ting Chen, Hans Burkhardt and Shih‐Huang Chan. Their work appears in journals such as PLoS ONE, Critical Care Medicine and International Journal of Radiation Oncology*Biology*Physics.
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.