Da Chen
Impact in
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- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
- Image and Object Detection Techniques
- Advanced Neural Network Applications
- Image and Signal Denoising Methods
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- Retinal Imaging and Analysis
Papers in
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- Medical Image Segmentation Techniques 37
- Image and Object Detection Techniques 2
- Digital Image Processing Techniques 1
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- Retinal Imaging and Analysis 16
- Co-authors
- Laurent David Cohen (37 shared papers)Jean‐Marie Mirebeau (13 shared papers)Minglei Shu (10 shared papers)Jiong Zhang (7 shared papers)Hui Liu (1 shared paper)Yinglong Wang (1 shared paper)Erik J. Bekkers (2 shared papers)Xinxin Zhang (3 shared papers)
- Journals
- IEEE Transactions on Image Processing (5 papers)IEEE Transactions on Medical Imaging (2 papers)Pattern Recognition (2 papers)International Journal of Computer Vision (2 papers)Journal of Mathematical Imaging and Vision (2 papers)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Da Chen
48 papers receiving 431 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 314
- Radiology, Nuclear Medicine and Imaging 85
- Computer Graphics and Computer-Aided Design 12
- Health Informatics 4
- Applied Mathematics 19
Countries citing papers authored by Da Chen
This map shows the geographic impact of Da 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 Da Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Chen more than expected).
Fields of papers citing papers by Da Chen
This network shows the impact of papers produced by Da 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 Da Chen. The network helps show where Da Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 44 | |
| 2 | 2022 | 29 | |
| 3 | 2018 | 26 | |
| 4 | 2021 | 22 | |
| 5 | Minimal Paths for Tubular Structure Segmentation With Coherence Penalty and Adaptive Anisotropy | 2019 | 20 |
| 6 | 2021 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2014 | 16 | |
| 10 | 2017 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2021 | 12 | |
| 15 | Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement | 2021 | 12 |
| 16 | 2023 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2025 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2023 | 9 |
About Da Chen
Da Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design, Numerical Analysis and Hardware and Architecture, having authored 52 papers that have together received 436 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (37 papers), Retinal Imaging and Analysis (16 papers), Domain Adaptation and Few-Shot Learning (2 papers), Image and Object Detection Techniques (2 papers), Digital Image Processing Techniques (1 paper), Computational Geometry and Mesh Generation (1 paper), Topological and Geometric Data Analysis (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Computer Graphics and Computer-Aided Design (12 citations), Health Informatics (4 citations) and Applied Mathematics (19 citations). Da Chen has collaborated with scholars based in France, China and United States. Frequent co-authors include Laurent David Cohen, Jean‐Marie Mirebeau, Minglei Shu, Jiong Zhang, Hui Liu, Yinglong Wang, Erik J. Bekkers, Xinxin Zhang, Huazhong Shu and Mingqiang Yang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, Pattern Recognition, International Journal of Computer Vision and Journal of Mathematical Imaging and Vision.
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.