Da Chen

619 citations
61 papers · 407 · h-index 12

Impact in

Papers in

Da Chen

55 papers receiving 400 citations

Peers

Da Chen
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 198
  • Radiology, Nuclear Medicine and Imaging 94
  • Ophthalmology 32
  • Media Technology 30
  • Radiation 23
Replace K. Rohr with:
K. Rohr Germany
Rafael Verdú‐Monedero Spain
Mariana del Fresno Argentina
Igor P. Gurov Russia
Qianjing Feng China
Julian Krebs United States
Anja Borsdorf Germany
J. Baruthio France
Yinpeng Jin United States
R.N. Czerwinski United States
Da Chen relative to K. Rohr Germany K. Rohr's profile →
Citations per field
00.5×5×10×15×22.3×
K. Rohr · 1×
Citations per year

Countries citing papers authored by Da Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Da Chen Line = papers co-authored together Da Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202129
2 202228
3 202122
4 202119
5
Minimal Paths for Tubular Structure Segmentation With Coherence Penalty and Adaptive Anisotropy
201918
6 202117
7 201416
8 201616
9 201615
10 201713
11 202312
12
Geodesic Paths for Image Segmentation with Implicit Region-based Homogeneity Enhancement
202112
13 201612
14 201811
15 201311
16 201611
17 201711
18 20238
19 20227
20 20257

About Da Chen

Da Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Ophthalmology and Computational Mechanics, having authored 61 papers that have together received 407 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (27 papers), Retinal Imaging and Analysis (10 papers), Advanced Vision and Imaging (7 papers), Advanced Image Fusion Techniques (5 papers), Glaucoma and retinal disorders (5 papers), Morphological variations and asymmetry (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Radiology, Nuclear Medicine and Imaging (94 citations), Ophthalmology (32 citations), Media Technology (30 citations) and Radiation (23 citations). Da Chen has collaborated with scholars based in China, France and United States. Frequent co-authors include Laurent D. Cohen, Jean‐Marie Mirebeau, Minglei Shu, Jiong Zhang, Hui Liu, Yinglong Wang, Xinxin Zhang, Laurent Cohen, Huazhong Shu and Xiaobin Tang. Their work appears in journals such as IEEE Transactions on Image Processing, Chemical Engineering Journal, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Medical Imaging and Pattern Recognition.

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.

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