Duanduan Chen

2.4k total citations
123 papers, 1.7k citations indexed

About

Duanduan Chen is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Duanduan Chen has authored 123 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Pulmonary and Respiratory Medicine, 30 papers in Cardiology and Cardiovascular Medicine and 28 papers in Surgery. Recurrent topics in Duanduan Chen's work include Aortic aneurysm repair treatments (32 papers), Aortic Disease and Treatment Approaches (31 papers) and Cardiac Valve Diseases and Treatments (24 papers). Duanduan Chen is often cited by papers focused on Aortic aneurysm repair treatments (32 papers), Aortic Disease and Treatment Approaches (31 papers) and Cardiac Valve Diseases and Treatments (24 papers). Duanduan Chen collaborates with scholars based in China, United Kingdom and United States. Duanduan Chen's co-authors include Tianyi Yan, Yiannis Ventikos, Jiang Xiong, Jinglong Wu, Tiantian Liu, Huanming Xu, Yiming Deng, Ligang Song, Ning Ma and Yuanqing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Stroke.

In The Last Decade

Duanduan Chen

113 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duanduan Chen China 22 463 347 322 237 212 123 1.7k
Yanjun Zeng China 29 315 0.7× 216 0.6× 473 1.5× 260 1.1× 787 3.7× 234 3.1k
Susanne Wegener Switzerland 26 533 1.2× 144 0.4× 317 1.0× 100 0.4× 96 0.5× 118 2.2k
Chang Liu China 23 175 0.4× 74 0.2× 232 0.7× 238 1.0× 156 0.7× 108 1.6k
Mohamed Ghorbel Tunisia 21 140 0.3× 130 0.4× 331 1.0× 181 0.8× 246 1.2× 138 1.6k
Takashi Yokoi Japan 26 935 2.0× 968 2.8× 185 0.6× 78 0.3× 287 1.4× 128 2.9k
Sandrine de Ribaupierre Canada 27 232 0.5× 61 0.2× 243 0.8× 284 1.2× 438 2.1× 166 2.3k
Yasemin M. Akay United States 19 336 0.7× 261 0.8× 228 0.7× 153 0.6× 67 0.3× 89 1.4k
David Moratal Spain 32 227 0.5× 382 1.1× 320 1.0× 522 2.2× 401 1.9× 162 3.3k
Yu‐Ching Lin Taiwan 21 344 0.7× 51 0.1× 152 0.5× 220 0.9× 195 0.9× 139 2.2k
Tom MacGillivray United Kingdom 36 456 1.0× 417 1.2× 454 1.4× 317 1.3× 302 1.4× 170 5.0k

Countries citing papers authored by Duanduan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Duanduan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duanduan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Duanduan Chen. A scholar is included among the top collaborators of Duanduan 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 Duanduan Chen. Duanduan 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.
Torii, Ryo, et al.. (2025). Predictive computational framework to provide a digital twin for personalized cardiovascular medicine. Communications Medicine. 5(1). 370–370. 1 indexed citations
2.
Zhang, Shuaitong, Jiang Xiong, Xiaofeng Han, et al.. (2025). Fast Virtual Stenting for Thoracic Endovascular Aortic Repair of Aortic Dissection Using Graph Deep Learning. IEEE Journal of Biomedical and Health Informatics. 29(6). 4374–4387. 12 indexed citations
3.
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Torii, Ryo, et al.. (2025). In silico comparison of two non-invasive pre-procedural virtual coronary revascularisation techniques for personalised cardiovascular medicine. Computer Methods and Programs in Biomedicine. 272. 109046–109046.
5.
Chen, Duanduan, et al.. (2024). Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis. Computer Methods and Programs in Biomedicine. 244. 107999–107999. 6 indexed citations
6.
Chen, Duanduan, Jian Teng, Xiaodong Zhao, et al.. (2024). Comparative transcriptomic and molecular biology analyses to explore potential immune responses to Vibrio parahaemolyticus challenge in Eriocheir sinensis. Frontiers in Cellular and Infection Microbiology. 14. 1456130–1456130. 5 indexed citations
7.
Wei, Siyi, Jinhui Zhang, Zhiwei Wu, & Duanduan Chen. (2024). Magnetic Robot for Endovascular Intervention: Performance Evaluation. IEEE Transactions on Industrial Electronics. 71(10). 12592–12600. 6 indexed citations
8.
Wei, Jianyong, Xiaoer Wei, Yueqi Zhu, et al.. (2024). Deep learning-based automatic ASPECTS calculation can improve diagnosis efficiency in patients with acute ischemic stroke: a multicenter study. European Radiology. 35(2). 627–639. 5 indexed citations
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10.
11.
Zhang, Jinhui, et al.. (2023). Stabilization of Linear Systems With Time Delay and Disturbance: A New State Prediction Approach. IEEE Transactions on Automatic Control. 69(4). 2530–2536. 8 indexed citations
12.
Yan, Tianyi, Gongshu Wang, Li Wang, et al.. (2022). Episodic memory in aspects of brain information transfer by resting-state network topology. Cerebral Cortex. 32(22). 4969–4985. 7 indexed citations
13.
Wang, Li, et al.. (2022). Resting-State Functional MRI of Healthy Adults: Temporal Dynamic Brain Coactivation Patterns. Radiology. 304(3). 624–632. 21 indexed citations
14.
Zhang, Jianxu, Chenyu Wang, Luyao Wang, et al.. (2021). Influence of layered skull modeling on the frequency sensitivity and target accuracy in simulations of transcranial current stimulation. Human Brain Mapping. 42(16). 5345–5356. 13 indexed citations
15.
Deng, Yiming, Duanduan Chen, Feng Gao, et al.. (2020). Silencing of Long Non-coding RNA GAS5 Suppresses Neuron Cell Apoptosis and Nerve Injury in Ischemic Stroke Through Inhibiting DNMT3B-Dependent MAP4K4 Methylation. Translational Stroke Research. 11(5). 950–966. 50 indexed citations
16.
Wang, Luyao, et al.. (2020). Hemodynamic response varies across tactile stimuli with different temporal structures. Human Brain Mapping. 42(3). 587–597. 9 indexed citations
17.
Tang, Xiaoying, et al.. (2020). Hydrodynamic study of sperm swimming near a wall based on the immersed boundary-lattice Boltzmann method. Engineering Applications of Computational Fluid Mechanics. 14(1). 853–870. 11 indexed citations
18.
Liu, Guangbo, Haoye Meng, Qi Quan, et al.. (2020). Effects of bone-resorptive lesion on stress distribution of the femoral head and on progression in patients with osteonecrosis of the femoral head. Zhonghua guke zazhi. 40(7). 408–416. 3 indexed citations
19.
Deng, Yiming, Duanduan Chen, Feng Gao, et al.. (2019). Exosomes derived from microRNA-138-5p-overexpressing bone marrow-derived mesenchymal stem cells confer neuroprotection to astrocytes following ischemic stroke via inhibition of LCN2. Journal of Biological Engineering. 13(1). 149 indexed citations
20.
Li, Xiang, et al.. (2019). Simulation Study on the Mass Transport Based on the Ciliated Dynamic System of the Respiratory Tract. Computational and Mathematical Methods in Medicine. 2019. 1–9. 13 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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