Yen‐Wei Chen
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Steganography and Watermarking Techniques
- Neurology top 1%
- Brain Tumor Detection and Classification
Papers in
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- Medical Image Segmentation Techniques 104
- Image Retrieval and Classification Techniques 58
- Advanced Image and Video Retrieval Techniques 57
- Advanced Neural Network Applications 56
- Advanced Image Processing Techniques 41
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- AI in cancer detection 58
- Co-authors
- Xian‐Hua Han (147 shared papers)Yutaro Iwamoto (91 shared papers)Lanfen Lin (101 shared papers)Ruofeng Tong (36 shared papers)Hongjie Hu (57 shared papers)Qiaowei Zhang (12 shared papers)Huimin Huang (13 shared papers)Jian Wu (2 shared papers)
In The Last Decade
Yen‐Wei Chen
573 papers receiving 7.5k citations
Yen‐Wei Chen's Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Vision and Pattern Recognition 3.3k
- Neurology 645
- Media Technology 688
- Radiology, Nuclear Medicine and Imaging 1.5k
- Oral Surgery 432
Countries citing papers authored by Yen‐Wei Chen
This map shows the geographic impact of Yen‐Wei Chen'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 Yen‐Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Wei Chen more than expected).
Fields of papers citing papers by Yen‐Wei Chen
This network shows the impact of papers produced by Yen‐Wei Chen. 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 Yen‐Wei Chen. The network helps show where Yen‐Wei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen‐Wei Chen, 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 619 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation Hit paper breakdown → | 2020 | 1693 |
| 2 | Mixed Transformer U-Net for Medical Image Segmentation Hit paper breakdown → | 2022 | 231 |
| 3 | Restoration contour is a risk indicator for peri‐implantitis: A cross‐sectional radiographic analysis Hit paper breakdown → | 2017 | 217 |
| 4 | 2016 | 183 | |
| 5 | 2021 | 130 | |
| 6 | 2008 | 115 | |
| 7 | 2005 | 91 | |
| 8 | 2020 | 88 | |
| 9 | 2022 | 84 | |
| 10 | 2022 | 74 | |
| 11 | 2020 | 70 | |
| 12 | 2019 | 69 | |
| 13 | 2005 | 68 | |
| 14 | 2021 | 65 | |
| 15 | 2013 | 61 | |
| 16 | 2020 | 57 | |
| 17 | 2007 | 57 | |
| 18 | 2018 | 53 | |
| 19 | 2019 | 53 | |
| 20 | 2006 | 50 |
About Yen‐Wei Chen
Yen‐Wei Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Media Technology, having authored 619 papers that have together received 7.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (104 papers), AI in cancer detection (58 papers), Image Retrieval and Classification Techniques (58 papers), Advanced Image and Video Retrieval Techniques (57 papers), Advanced Neural Network Applications (56 papers), Radiomics and Machine Learning in Medical Imaging (51 papers), Blind Source Separation Techniques (41 papers) and Advanced Image Processing Techniques (41 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Neurology (645 citations), Media Technology (688 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Oral Surgery (432 citations). Yen‐Wei Chen has collaborated with scholars based in Japan, China and Taiwan. Frequent co-authors include Xian‐Hua Han, Yutaro Iwamoto, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Huimin Huang, Jian Wu, Zensho Nakao and Amir Hossein Foruzan. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Neurocomputing, Review of Scientific Instruments, Computers, materials & continua/Computers, materials & continua (Print) and Japanese Journal of Applied 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.