Qiang Chen

3.0k total citations · 1 hit paper
110 papers, 1.8k citations indexed

About

Qiang Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Qiang Chen has authored 110 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Ophthalmology and 32 papers in Biomedical Engineering. Recurrent topics in Qiang Chen's work include Retinal Imaging and Analysis (55 papers), Retinal Diseases and Treatments (34 papers) and Optical Coherence Tomography Applications (26 papers). Qiang Chen is often cited by papers focused on Retinal Imaging and Analysis (55 papers), Retinal Diseases and Treatments (34 papers) and Optical Coherence Tomography Applications (26 papers). Qiang Chen collaborates with scholars based in China, United States and South Korea. Qiang Chen's co-authors include Zexuan Ji, Songtao Yuan, Wen Fan, Sijie Niu, Daniel L. Rubin, Quansen Sun, Theodore Leng, Mingchao Li, Yingchun Zhang and Luís de Sisternes and has published in prestigious journals such as Journal of Molecular Biology, Scientific Reports and Brain Research.

In The Last Decade

Qiang Chen

97 papers receiving 1.8k citations

Hit Papers

OCTA-500: A retinal dataset for optical coherence tomogra... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Chen China 24 1.1k 745 462 382 168 110 1.8k
Enrico Grisan Italy 24 1.3k 1.2× 976 1.3× 632 1.4× 210 0.5× 156 0.9× 144 2.5k
Valery Naranjo Spain 25 1.1k 1.0× 634 0.9× 914 2.0× 237 0.6× 588 3.5× 155 2.3k
Sailesh Conjeti Germany 15 899 0.8× 298 0.4× 519 1.1× 426 1.1× 324 1.9× 38 1.8k
Snehashis Roy United States 20 605 0.6× 194 0.3× 605 1.3× 227 0.6× 197 1.2× 60 1.7k
Malaya Kumar Nath India 21 534 0.5× 309 0.4× 493 1.1× 107 0.3× 375 2.2× 67 1.3k
Jayanthi Sivaswamy India 26 2.0k 1.8× 1.6k 2.1× 1.6k 3.4× 216 0.6× 235 1.4× 99 2.8k
Muhammad Arsalan South Korea 26 802 0.7× 437 0.6× 956 2.1× 107 0.3× 353 2.1× 76 1.9k
Dwarikanath Mahapatra Switzerland 23 905 0.8× 352 0.5× 1.1k 2.3× 207 0.5× 464 2.8× 87 1.8k
Xiaofei Wang China 14 511 0.5× 329 0.4× 271 0.6× 188 0.5× 131 0.8× 46 994
Ahmed Elnakib United States 22 878 0.8× 126 0.2× 416 0.9× 221 0.6× 347 2.1× 104 1.6k

Countries citing papers authored by Qiang Chen

Since Specialization
Citations

This map shows the geographic impact of Qiang 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 Qiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Chen more than expected).

Fields of papers citing papers by Qiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qiang 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 Qiang Chen. The network helps show where Qiang Chen may publish in the future.

Co-authorship network of co-authors of Qiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Chen. A scholar is included among the top collaborators of Qiang 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 Qiang Chen. Qiang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dong, Xiaoyu, Yu Zou, Na Su, et al.. (2025). Novel 2D/3D vascular biomarkers reveal association between fundus changes and coronary heart disease. Microvascular Research. 159. 104793–104793.
2.
Li, Xiaohui, et al.. (2025). MT-DENet: Prediction of post-therapy OCT images in diabetic macular edema by multi-temporal disease evolution network. Biomedical Signal Processing and Control. 112. 108721–108721.
3.
Xue, Wenliang, Rong Yang, Peng‐Hui Wang, et al.. (2024). Photo-driven dynamic hydrogel modulates bone marrow mesenchymal stem cells behavior for enhanced cartilage regeneration. Chemical Engineering Journal. 484. 149689–149689. 5 indexed citations
4.
Ma, Xiao, Zetian Zhang, Yuhan Zhang, et al.. (2024). Diverse Data Generation for Retinal Layer Segmentation With Potential Structure Modeling. IEEE Transactions on Medical Imaging. 43(10). 3584–3595. 3 indexed citations
6.
Li, Mingchao, et al.. (2023). Choroidal vessel segmentation in SD-OCT with 3D Shape-aware Adversarial Networks. Biomedical Signal Processing and Control. 84. 104982–104982. 6 indexed citations
7.
Zhang, Yuhan, et al.. (2023). Learn Single-horizon Disease Evolution for Predictive Generation of Post-therapeutic Neovascular Age-related Macular Degeneration. Computer Methods and Programs in Biomedicine. 230. 107364–107364. 5 indexed citations
8.
Tao, Yu‐Hui, et al.. (2022). Self-Supervised Sequence Recovery for Semi-Supervised Retinal Layer Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(8). 3872–3883. 20 indexed citations
9.
Ji, Zexuan, et al.. (2021). Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs. IEEE Journal of Biomedical and Health Informatics. 26(1). 115–126. 22 indexed citations
10.
Zhu, Tingting, et al.. (2020). Irradiation with blue light-emitting diode enhances osteogenic differentiation of stem cells from the apical papilla. Lasers in Medical Science. 35(9). 1981–1988. 18 indexed citations
12.
Zhao, Lei, Wen Zhang, Zhenguo Sun, & Qiang Chen. (2018). Brake pad image classification algorithm basedon color segmentation and information entropy weighted feature matching. Journal of Tsinghua University(Science and Technology). 58(6). 547–552. 2 indexed citations
13.
Sisternes, Luís de, Gowtham Jonna, Margaret A. Greven, et al.. (2017). Individual Drusen Segmentation and Repeatability and Reproducibility of Their Automated Quantification in Optical Coherence Tomography Images. Translational Vision Science & Technology. 6(1). 12–12. 20 indexed citations
14.
Niu, Sijie, Luís de Sisternes, Qiang Chen, Theodore Leng, & Daniel L. Rubin. (2015). Automated Segmentation and Quantification in SD-OCT Images to Predict Future Geographic Atrophy Involvement. Investigative Ophthalmology & Visual Science. 56(7). 2839–2839. 2 indexed citations
15.
Chen, Qiang, et al.. (2015). 基于自适应阈值和区域生长的SD-OCT糖网图像亮斑分割 (Segmentation of Bright Speckles in SD-OCT Diabetic Retinal Images Based on Self-adaption Threshold and Region Growing).. 42. 123–125. 1 indexed citations
16.
Chen, Qiang, Theodore Leng, Sijie Niu, et al.. (2014). A FALSE COLOR FUSION STRATEGY FOR DRUSEN AND GEOGRAPHIC ATROPHY VISUALIZATION IN OPTICAL COHERENCE TOMOGRAPHY IMAGES. Retina. 34(12). 2346–2358. 8 indexed citations
17.
Shi, Lei, J. C. Wheeler, Raymond W. Sweet, et al.. (2010). De Novo Selection of High-Affinity Antibodies from Synthetic Fab Libraries Displayed on Phage as pIX Fusion Proteins. Journal of Molecular Biology. 397(2). 385–396. 50 indexed citations
18.
Chen, Qiang, et al.. (2009). Affine Invariant Feature Extraction Algorithm Based on Generalized Canonical Correlation Analysis. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 31(10). 2465–2469. 1 indexed citations
19.
Chen, Qiang. (2007). Faults diagnosis model based on artificial immunity and its application. Journal of University of Science and Technology Beijing. 1 indexed citations
20.
Chen, Qiang. (2007). Modularity,Network Inertia,and Interorganizational Network Change——Approach based on scientific research institution in military industry. 1 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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