Duowen Chen
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Brain Tumor Detection and Classification
Papers in
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- Fluid Dynamics and Heat Transfer 4
- 3D Shape Modeling and Analysis 2
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- Advanced Neural Network Applications 2
- Co-authors
- Qingli Li (2 shared papers)Wei Shen (2 shared papers)Yun Bai (1 shared paper)Yan Wang (1 shared paper)Vladimir G. Kim (1 shared paper)B.E. Jones (1 shared paper)Ilya Baran (1 shared paper)Adriana Schulz (1 shared paper)
- Journals
- ACM Transactions on Graphics (6 papers)Case Studies in Construction Materials (1 paper)Drones (1 paper)The HKU Scholars Hub (University of Hong Kong) (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Duowen Chen
9 papers receiving 251 citations
Duowen Chen's Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 160
- Neurology 56
- Radiology, Nuclear Medicine and Imaging 66
- Industrial and Manufacturing Engineering 27
- Computer Graphics and Computer-Aided Design 9
Countries citing papers authored by Duowen Chen
This map shows the geographic impact of Duowen 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 Duowen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duowen Chen more than expected).
Fields of papers citing papers by Duowen Chen
This network shows the impact of papers produced by Duowen 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 Duowen Chen. The network helps show where Duowen Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Duowen 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 | Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation Hit paper breakdown → | 2023 | 179 |
| 2 | 2021 | 43 | |
| 3 | 2023 | 24 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2009 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2017 | 0 |
About Duowen Chen
Duowen Chen is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (4 papers), Computer Graphics and Visualization Techniques (4 papers), Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Manufacturing Process and Optimization (2 papers), 3D Shape Modeling and Analysis (2 papers), Magnesium Oxide Properties and Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Neurology (56 citations), Radiology, Nuclear Medicine and Imaging (66 citations), Industrial and Manufacturing Engineering (27 citations) and Computer Graphics and Computer-Aided Design (9 citations). Duowen Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingli Li, Wei Shen, Yun Bai, Yan Wang, Vladimir G. Kim, B.E. Jones, Ilya Baran, Adriana Schulz, Yan Wang and Lequan Yu. Their work appears in journals such as ACM Transactions on Graphics, Case Studies in Construction Materials, Drones and The HKU Scholars Hub (University of Hong Kong).
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.