Yen‐Wei Chen
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- Medical Image Segmentation Techniques 109
- Image Retrieval and Classification Techniques 60
- Advanced Image and Video Retrieval Techniques 60
- Advanced Neural Network Applications 57
- Advanced Image Processing Techniques 42
- Media Technology top 0.5%
- Neurology top 1%
- Orthodontics top 2%
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- Radiomics and Machine Learning in Medical Imaging 56
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- AI in cancer detection 62
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- Blind Source Separation Techniques 41
Yen‐Wei Chen
569 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Computer Vision and Pattern Recognition 3.4k
- Media Technology 680
- Neurology 635
- Orthodontics 340
- Radiology, Nuclear Medicine and Imaging 1.7k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 28 | |
| 12 | 2022 | 36 | |
| 13 | 2022 | 13 | |
| 14 | 2021 | 127 | |
| 15 | 2021 | 23 | |
| 16 | UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentationbreakdown → | 2020 | 1600 |
| 17 | 2019 | 6 | |
| 18 | Computerized Assessment of Small Bowel Motility Function Using Cine-MR Imaging : Preliminary Results in Super-Pixel Segmental Method | 2017 | 2 |
| 19 | Information communication in brain based on memory loop neural circuit | 2010 | 3 |
| 20 | A semi-automated detection for motility of small bowel with MRI sequence (医用画像) | 2009 | 2 |
About Yen‐Wei Chen
Yen‐Wei Chen is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics, Media Technology, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 615 papers that have together received 7.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (109 papers), AI in cancer detection (62 papers), Image Retrieval and Classification Techniques (60 papers), Advanced Image and Video Retrieval Techniques (60 papers), Advanced Neural Network Applications (57 papers), Radiomics and Machine Learning in Medical Imaging (56 papers), Advanced Image Processing Techniques (42 papers) and Blind Source Separation Techniques (41 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Media Technology (680 citations), Neurology (635 citations), Orthodontics (340 citations) and Radiology, Nuclear Medicine and Imaging (1.7k 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, Japanese Journal of Applied Physics and Computers, materials & continua/Computers, materials & continua (Print).
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.