Yinran Chen

401 total citations
46 papers, 282 citations indexed

About

Yinran Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Yinran Chen has authored 46 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Biomedical Engineering. Recurrent topics in Yinran Chen's work include Ultrasound Imaging and Elastography (12 papers), Advanced Neural Network Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Yinran Chen is often cited by papers focused on Ultrasound Imaging and Elastography (12 papers), Advanced Neural Network Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Yinran Chen collaborates with scholars based in China, Belgium and United States. Yinran Chen's co-authors include Xiaodong Zhou, Jianwen Luo, Jiming Hu, Zitong Wu, Kang Mao, Aiguo Shen, Xióngbiāo Luó, Jing Liu, Xia Chen and Jiming Hu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Yinran Chen

36 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinran Chen China 10 115 92 88 86 47 46 282
Kamil Szmuc Poland 10 56 0.5× 65 0.7× 38 0.4× 87 1.0× 43 0.9× 16 336
Lianshun Zhang China 11 158 1.4× 60 0.7× 88 1.0× 28 0.3× 32 0.7× 36 319
Kye Jin Jeon South Korea 9 166 1.4× 61 0.7× 50 0.6× 12 0.1× 137 2.9× 15 327
Chester G. Wilson United States 9 145 1.3× 69 0.8× 25 0.3× 9 0.1× 97 2.1× 31 312
Ramhari Paneru South Korea 8 48 0.4× 81 0.9× 202 2.3× 17 0.2× 147 3.1× 12 345
Yong-Jae Lee South Korea 7 108 0.9× 84 0.9× 24 0.3× 16 0.2× 107 2.3× 23 292
Yongkuan Li China 13 183 1.6× 168 1.8× 9 0.1× 40 0.5× 147 3.1× 39 403
Chi Kwong Tang United States 9 272 2.4× 34 0.4× 6 0.1× 223 2.6× 137 2.9× 21 462
Robin A. Damion United Kingdom 10 119 1.0× 17 0.2× 96 1.1× 5 0.1× 11 0.2× 20 392
Dejan Maletić Serbia 11 38 0.3× 87 0.9× 326 3.7× 32 0.4× 267 5.7× 19 447

Countries citing papers authored by Yinran Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yinran Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinran Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yinran Chen. A scholar is included among the top collaborators of Yinran 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 Yinran Chen. Yinran 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.
Chen, Yinran, et al.. (2025). Ultrafast Online Clutter Filtering for Ultrasound Microvascular Imaging. IEEE Transactions on Medical Imaging. 44(6). 2477–2491. 2 indexed citations
2.
3.
Shi, Hong, et al.. (2024). Triple-Supervised Convolutional Transformer Aggregation for Robust Monocular Endoscopic Dense Depth Estimation. IEEE Transactions on Medical Robotics and Bionics. 6(3). 1017–1029. 1 indexed citations
4.
Chen, Yinran, et al.. (2024). Competitive Swarm Optimized SVD Clutter Filtering for Ultrafast Power Doppler Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(4). 459–473. 6 indexed citations
5.
Chen, Yinran, et al.. (2024). Accurate and Robust Sperm Tracking via Adaptive Marginalized Particle Filtering. IEEE Signal Processing Letters. 31. 2020–2024.
6.
Zhang, Fan, et al.. (2024). A comparison of U-Net series for teeth segmentation in CBCT images. 84–84. 1 indexed citations
7.
Chen, Yinran, et al.. (2023). Doppler and Pair-Wise Optical Flow Constrained 3D Motion Compensation for 3D Ultrasound Imaging. IEEE Transactions on Image Processing. 32. 4501–4516. 3 indexed citations
8.
9.
Li, Ji, et al.. (2023). A comparison of U-Net series for CT pancreas segmentation. 82–82. 1 indexed citations
10.
Wang, Ao, Ming Wu, Hong Shi, et al.. (2023). Pyramid Transformer Driven Multibranch Fusion for Polyp Segmentation in Colonoscopic Video Images. 2350–2354. 1 indexed citations
11.
Wu, Ming, Song Zheng, Jianhui Chen, et al.. (2022). Unsupervised Domain Adaptation with Dual U-DenseTransformer Generation. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). abs 2102 4306. 1170–1177. 1 indexed citations
12.
Chen, Yinran, et al.. (2022). Residual U-Structure Nested Conditional Adversarial Nets Colorized CT Improves Deep Learning Based Abdominal Multi-Organ Segmentation. 2022 IEEE International Conference on Image Processing (ICIP). 2061–2065. 1 indexed citations
13.
Chen, Yinran, et al.. (2022). Contrastive Translation Learning For Medical Image Segmentation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2395–2399. 1 indexed citations
14.
Chen, Yinran, et al.. (2021). Robotically Surgical Vessel Localization Using Robust Hybrid Video Motion Magnification. IEEE Robotics and Automation Letters. 6(2). 1567–1573. 6 indexed citations
15.
Chen, Yinran, Jing Liu, Julien Grondin, Elisa E. Konofagou, & Jianwen Luo. (2018). Compressed sensing reconstruction of synthetic transmit aperture dataset for volumetric diverging wave imaging. Physics in Medicine and Biology. 64(2). 25013–25013. 13 indexed citations
16.
Chen, Yinran, Jan D’hooge, & Jianwen Luo. (2018). Doppler-Based Motion Compensation Strategies for 3-D Diverging Wave Compounding and Multiplane-Transmit Beamforming: A Simulation Study. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(9). 1631–1642. 10 indexed citations
17.
Chen, Yinran, Ling Tong, Alejandra Ortega, Jianwen Luo, & Jan D’hooge. (2017). Feasibility of Multiplane-Transmit Beamforming for Real-Time Volumetric Cardiac Imaging: A Simulation Study. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 64(4). 648–659. 15 indexed citations
18.
He, Qiong, Ling Tong, Lingyun Huang, et al.. (2016). Performance optimization of lateral displacement estimation with spatial angular compounding. Ultrasonics. 73. 9–21. 11 indexed citations
19.
Mao, Kang, Zitong Wu, Yinran Chen, et al.. (2014). A novel biosensor based on single-layer MoS2 nanosheets for detection of Ag+. Talanta. 132. 658–663. 74 indexed citations
20.
Chen, Xia, Yinran Chen, Xiaodong Zhou, & Jiming Hu. (2013). Detection of Ag+ ions and cysteine based on chelation actions between Ag+ ions and guanine bases. Talanta. 107. 277–283. 22 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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