Ching‐Wen Yang
Impact in
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- Brain Tumor Detection and Classification
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Image and Signal Denoising Methods 4
- Context-Aware Activity Recognition Systems 3
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- Healthcare cost, quality, practices 4
- Co-authors
- Clayton Chi‐Chang Chen (6 shared papers)Yen‐Chieh Ouyang (7 shared papers)Ishani Ganguli (3 shared papers)Gary E. Isom (2 shared papers)Chin‐Lung Yang (4 shared papers)Chein‐I Chang (8 shared papers)San-Kan Lee (7 shared papers)Nancy E. Morden (3 shared papers)
- Journals
- Computerized Medical Imaging and Graphics (2 papers)BMC Health Services Research (2 papers)Journal of Dental Sciences (2 papers)Journal of Medical Systems (2 papers)Journal of High Speed Networks (2 papers)
- Partner nations
- TaiwanUnited StatesIran
In The Last Decade
Ching‐Wen Yang
47 papers receiving 415 citations
Peers
Comparison fields: 5 of 113
- Neurology 34
- Media Technology 39
- Signal Processing 44
- Computer Vision and Pattern Recognition 79
- Health Information Management 14
Countries citing papers authored by Ching‐Wen Yang
This map shows the geographic impact of Ching‐Wen Yang'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 Ching‐Wen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Wen Yang more than expected).
Fields of papers citing papers by Ching‐Wen Yang
This network shows the impact of papers produced by Ching‐Wen Yang. 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 Ching‐Wen Yang. The network helps show where Ching‐Wen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Wen Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 44 | |
| 2 | 2008 | 35 | |
| 3 | 2003 | 34 | |
| 4 | 2015 | 30 | |
| 5 | 1996 | 25 | |
| 6 | 2010 | 20 | |
| 7 | 2022 | 20 | |
| 8 | 2008 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 1998 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2013 | 13 | |
| 14 | 2018 | 11 | |
| 15 | 1996 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 8 | |
| 19 | 2010 | 7 | |
| 20 | 2005 | 7 |
About Ching‐Wen Yang
Ching‐Wen Yang is a scholar working on Computer Vision and Pattern Recognition, General Health Professions, Electrical and Electronic Engineering, Signal Processing and Computational Mechanics, having authored 52 papers that have together received 436 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (4 papers), AI in cancer detection (4 papers), Healthcare cost, quality, practices (4 papers), Wireless Power Transfer Systems (4 papers), Image and Signal Denoising Methods (4 papers), Blind Source Separation Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Neurology (34 citations), Media Technology (39 citations), Signal Processing (44 citations), Computer Vision and Pattern Recognition (79 citations) and Health Information Management (14 citations). Ching‐Wen Yang has collaborated with scholars based in Taiwan, United States and Iran. Frequent co-authors include Clayton Chi‐Chang Chen, Yen‐Chieh Ouyang, Ishani Ganguli, Gary E. Isom, Chin‐Lung Yang, Chein‐I Chang, San-Kan Lee, Nancy E. Morden, Palur G. Gunasekar and Hsian‐Min Chen. Their work appears in journals such as Computerized Medical Imaging and Graphics, BMC Health Services Research, Journal of Dental Sciences, Journal of Medical Systems and Journal of High Speed Networks.
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.