Yan-Jie Zhou

657 total citations
25 papers, 224 citations indexed

About

Yan-Jie Zhou is a scholar working on Biomedical Engineering, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yan-Jie Zhou has authored 25 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 8 papers in Surgery and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yan-Jie Zhou's work include Advanced X-ray and CT Imaging (7 papers), Surgical Simulation and Training (5 papers) and Medical Image Segmentation Techniques (4 papers). Yan-Jie Zhou is often cited by papers focused on Advanced X-ray and CT Imaging (7 papers), Surgical Simulation and Training (5 papers) and Medical Image Segmentation Techniques (4 papers). Yan-Jie Zhou collaborates with scholars based in China, Macao and Cayman Islands. Yan-Jie Zhou's co-authors include Zeng‐Guang Hou, Xiao-Hu Zhou, Xiao‐Liang Xie, Gui‐Bin Bian, Zhen-Liang Ni, Shi-Qi Liu, Ruiqi Li, Dinghui Yang, Xueyuan Huang and Liang Peng and has published in prestigious journals such as Geophysics, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Yan-Jie Zhou

20 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan-Jie Zhou China 9 105 72 62 41 15 25 224
Robert B. Grupp United States 9 189 1.8× 119 1.7× 70 1.1× 57 1.4× 7 0.5× 21 311
Chen Ye Japan 11 138 1.3× 46 0.6× 66 1.1× 78 1.9× 16 1.1× 38 313
Justus Schock Germany 10 87 0.8× 106 1.5× 84 1.4× 98 2.4× 11 0.7× 28 378
María Helguera United States 10 121 1.2× 27 0.4× 57 0.9× 125 3.0× 30 2.0× 38 316
Rafeef Garbi Canada 8 63 0.6× 64 0.9× 61 1.0× 78 1.9× 19 1.3× 14 182
Kitaro Yoshimitsu Japan 10 94 0.9× 95 1.3× 80 1.3× 35 0.9× 16 1.1× 30 274
Bochen Guan United States 7 87 0.8× 109 1.5× 27 0.4× 74 1.8× 4 0.3× 11 283
J.F. Jensen United States 9 149 1.4× 147 2.0× 42 0.7× 53 1.3× 21 1.4× 16 282
Catherine Laporte Canada 11 150 1.4× 154 2.1× 86 1.4× 78 1.9× 10 0.7× 38 408
Sebastian Wirkert Germany 9 82 0.8× 31 0.4× 67 1.1× 91 2.2× 17 1.1× 15 249

Countries citing papers authored by Yan-Jie Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yan-Jie Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan-Jie Zhou. 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 Yan-Jie Zhou. The network helps show where Yan-Jie Zhou may publish in the future.

Co-authorship network of co-authors of Yan-Jie Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Jie Zhou. A scholar is included among the top collaborators of Yan-Jie Zhou 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 Yan-Jie Zhou. Yan-Jie Zhou 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.
Zhou, Yan-Jie, et al.. (2025). Efficient few-shot medical image segmentation via self-supervised variational autoencoder. Medical Image Analysis. 104. 103637–103637.
2.
Zhou, Feng, et al.. (2025). Automatic segmentation and quantitative analysis of brain CT volume in 2-year-olds using deep learning model. Frontiers in Neurology. 16. 1573060–1573060.
3.
Zhou, Yan-Jie, et al.. (2024). Cystic plate approach in laparoscopic cholecystectomy: a consecutive retrospective analysis. Frontiers in Surgery. 11. 1487568–1487568.
4.
Mok, Tony C. W., Yunhao Bai, Jianpeng Zhang, et al.. (2024). Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. 11215–11225. 5 indexed citations
5.
Zhou, Yan-Jie, Shi-Qi Liu, Xiao‐Liang Xie, et al.. (2022). A Dual-Stream Architecture for Real-Time Morphological Analysis of Aneurysm in Robot-Assisted Minimally Invasive Surgery. 2022 International Conference on Robotics and Automation (ICRA). 2686–2692. 1 indexed citations
6.
Li, Ruiqi, Xiao‐Liang Xie, Xiao-Hu Zhou, et al.. (2021). A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images. IEEE Transactions on Biomedical Engineering. 69(4). 1406–1416. 8 indexed citations
7.
Xie, Haiqun, Liang Peng, Zhen-Liang Ni, et al.. (2021). Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG. 9340–9346. 3 indexed citations
8.
Li, Ruiqi, Xiao‐Liang Xie, Xiao-Hu Zhou, et al.. (2021). Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images. IEEE Transactions on Medical Imaging. 40(8). 2002–2014. 20 indexed citations
9.
Zhou, Yan-Jie, Shi-Qi Liu, Xiao‐Liang Xie, & Zeng‐Guang Hou. (2021). DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation. 3360–3369.
10.
Zhou, Yan-Jie, Shi-Qi Liu, Xiao‐Liang Xie, et al.. (2021). A Real-Time Multi-Task Framework for Guidewire Segmentation and Endpoint Localization in Endovascular Interventions. 13784–13790. 6 indexed citations
11.
Liu, Shi-Qi, et al.. (2021). An Improved Networked Predictive Controller for Vascular Robot Using 5G Networks. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 4674–4678.
12.
Zhou, Yan-Jie, Xiao‐Liang Xie, Xiao-Hu Zhou, et al.. (2020). A Real-Time Multifunctional Framework for Guidewire Morphological and Positional Analysis in Interventional X-Ray Fluoroscopy. IEEE Transactions on Cognitive and Developmental Systems. 13(3). 657–667. 23 indexed citations
13.
Zhou, Xiao-Hu, Xiao‐Liang Xie, Zeng‐Guang Hou, et al.. (2020). A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills. IEEE Transactions on Cybernetics. 52(4). 2565–2577. 14 indexed citations
14.
Zhou, Yan-Jie, Xiao‐Liang Xie, Xiao-Hu Zhou, et al.. (2020). Pyramid attention recurrent networks for real-time guidewire segmentation and tracking in intraoperative X-ray fluoroscopy. Computerized Medical Imaging and Graphics. 83. 101734–101734. 18 indexed citations
15.
Zhou, Yan-Jie, Xiao‐Liang Xie, Zeng‐Guang Hou, et al.. (2020). FRR-NET: Fast Recurrent Residual Networks for Real-Time Catheter Segmentation and Tracking in Endovascular Aneurysm Repair. 961–964. 5 indexed citations
16.
Zhou, Yan-Jie, Xiao‐Liang Xie, Gui‐Bin Bian, et al.. (2019). Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion. 61. 1–6. 7 indexed citations
17.
Wang, Jiaxing, Weiqun Wang, Zeng‐Guang Hou, et al.. (2019). BCI and Multimodal Feedback Based Attention Regulation for Lower Limb Rehabilitation. 5 indexed citations
18.
Zhou, Yan-Jie, Zhendong Luo, & Fei Teng. (2018). A Crank–Nicolson finite spectral element method for the 2D non-stationary Stokes equations about vorticity–stream functions. Journal of Inequalities and Applications. 2018(1). 320–320. 3 indexed citations
19.
20.
Zhou, Yan-Jie, et al.. (2017). Anastalsis of triamcinolone acetonide during vitrectomy in proliferative diabetic retinopathy. Zhonghua shiyan yanke zazhi. 35(5). 439–442. 2 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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