Da Chen

488 total citations
46 papers, 270 citations indexed

About

Da Chen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Da Chen has authored 46 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computational Mechanics. Recurrent topics in Da Chen's work include Medical Image Segmentation Techniques (19 papers), Retinal Imaging and Analysis (7 papers) and Advanced Vision and Imaging (5 papers). Da Chen is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Retinal Imaging and Analysis (7 papers) and Advanced Vision and Imaging (5 papers). Da Chen collaborates with scholars based in China, France and United States. Da Chen's co-authors include Jean‐Marie Mirebeau, Laurent D. Cohen, Minglei Shu, Yinglong Wang, Hui Liu, Laurent D. Cohen, Hua Zhang, Zan Gao, Laurent Cohen and Shengyong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.

In The Last Decade

Da Chen

41 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Da Chen China	10	121	54	45	45	30	46	270
Christos Panagiotou Greece	7	30 0.2×	95 1.8×	54 1.2×	42 0.9×	9 0.3×	34	268
Ji Wen China	6	100 0.8×	135 2.5×	46 1.0×	9 0.2×	27 0.9×	25	399
Pedro G. Vaz Portugal	9	49 0.4×	121 2.2×	95 2.1×	34 0.8×	8 0.3×	28	339
Tian-ge Zhuang China	10	214 1.8×	105 1.9×	68 1.5×	20 0.4×	17 0.6×	38	339
Rolf Bippus Germany	9	57 0.5×	134 2.5×	116 2.6×	18 0.4×	12 0.4×	20	345
Antong Chen United States	8	61 0.5×	54 1.0×	61 1.4×	6 0.1×	13 0.4×	28	219
Huafeng Wang China	9	107 0.9×	80 1.5×	33 0.7×	8 0.2×	36 1.2×	37	266
N. Suzumura Japan	11	53 0.4×	54 1.0×	81 1.8×	90 2.0×	112 3.7×	37	353
Rafael Verdú‐Monedero Spain	11	170 1.4×	169 3.1×	56 1.2×	52 1.2×	46 1.5×	42	366
R. Periyasamy India	10	132 1.1×	40 0.7×	59 1.3×	37 0.8×	92 3.1×	26	330

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-authorship network of co-authors of Da Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Da Chen. A scholar is included among the top collaborators of Da Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Da Chen. Da Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Dagang, et al.. (2025). Fine-tuning feature interaction for unsupervised domain adaptive low-light object detection. Neurocomputing. 658. 131717–131717.

Chen, Da, et al.. (2024). Grouping Boundary Proposals for Fast Interactive Image Segmentation. IEEE Transactions on Image Processing. 33. 793–808. 3 indexed citations

Liu, Hui, et al.. (2024). A Generalized Geodesic Voting Framework for Interactive Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.

Chen, Da, et al.. (2024). Research and application of surface heat treatment for CO₂ continuous laser ablation of polymeric methyl methacrylate materials. RSC Advances. 14(3). 1909–1923. 3 indexed citations

Wang, Ruijie, et al.. (2024). Image Processing for Denoising Using Composite Adaptive Filtering Methods Based on RMSE. Open Journal of Applied Sciences. 14(3). 660–675. 2 indexed citations

Zhu, Yunpeng, et al.. (2024). Experimental and numerical investigation of dynamic characteristics and safe mooring criteria of moored outfitting ships under swell conditions. Ocean Engineering. 314. 119771–119771. 3 indexed citations

Chen, Da, Jean‐Marie Mirebeau, Minglei Shu, & Laurent D. Cohen. (2023). Computing geodesic paths encoding a curvature prior for curvilinear structure tracking. Proceedings of the National Academy of Sciences. 120(33). e2218869120–e2218869120. 3 indexed citations

Zhang, Xinxin, et al.. (2023). Single Image Reflection Removal Based on Dark Channel Sparsity Prior. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6431–6442. 7 indexed citations

Chen, Da, Jean‐Marie Mirebeau, Huazhong Shu, & Laurent D. Cohen. (2023). A Region-Based Randers Geodesic Approach for Image Segmentation. International Journal of Computer Vision. 132(2). 349–391. 9 indexed citations

10.

Chen, Da, Jean‐Marie Mirebeau, Minglei Shu, Xue‐Cheng Tai, & Laurent D. Cohen. (2022). Geodesic Models With Convexity Shape Prior. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8433–8452. 6 indexed citations

11.

Liu, Hui, et al.. (2022). Multilabel 12-Lead ECG Classification Based on Leadwise Grouping Multibranch Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 25 indexed citations

12.

Shu, Minglei, et al.. (2022). Curvilinear Structure Tracking Based on Dynamic Curvature-penalized Geodesics. Pattern Recognition. 134. 109079–109079. 1 indexed citations

13.

Li, Yong & Da Chen. (2022). Human Pose Estimation Based on Lightweight Convolutional Neural Networks. 2937–2942. 2 indexed citations

14.

Chen, Da, et al.. (2021). Trajectory Grouping With Curvature Regularization for Tubular Structure Tracking. IEEE Transactions on Image Processing. 31. 405–418. 3 indexed citations

15.

Chen, Da, et al.. (2021). A Generalized Asymmetric Dual-Front Model for Active Contours and Image Segmentation. IEEE Transactions on Image Processing. 30. 5056–5071. 17 indexed citations

16.

Gao, Zan, et al.. (2021). A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition. IEEE Transactions on Cybernetics. 52(12). 13197–13211. 22 indexed citations

17.

Chen, Da, et al.. (2020). Anisotropic tubular minimal path model with fast marching front freezing scheme. Pattern Recognition. 104. 107349–107349. 2 indexed citations

18.

Chen, Da & Laurent D. Cohen. (2017). Fast Asymmetric Fronts Propagation for Image Segmentation. Journal of Mathematical Imaging and Vision. 60(6). 766–783. 4 indexed citations

19.

Yu, Hou‐Yong, Xiaobin Tang, Diyun Shu, et al.. (2017). Influence of Neutron Sources and 10B Concentration on Boron Neutron Capture Therapy for Shallow and Deeper Non-small Cell Lung Cancer. Health Physics. 112(3). 258–265. 8 indexed citations

20.

Chen, Da. (2012). Active contour for noisy image segmentation based on contourlet transform. Journal of Electronic Imaging. 21(1). 13009–13009. 4 indexed citations

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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