Shoujun Zhou

2.1k total citations
93 papers, 1.5k citations indexed

About

Shoujun Zhou is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shoujun Zhou has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 27 papers in Biomedical Engineering and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shoujun Zhou's work include Medical Image Segmentation Techniques (35 papers), Cerebrovascular and Carotid Artery Diseases (12 papers) and Soft Robotics and Applications (11 papers). Shoujun Zhou is often cited by papers focused on Medical Image Segmentation Techniques (35 papers), Cerebrovascular and Carotid Artery Diseases (12 papers) and Soft Robotics and Applications (11 papers). Shoujun Zhou collaborates with scholars based in China, United States and Hong Kong. Shoujun Zhou's co-authors include Xiaoling Ma, Fengsheng Liu, Mingzhi Yu, Min Guo, Hui Li, Zheng O’Neill, Charles O’Neill, Maocheng Tian, Ping Cui and Wanpeng Lu and has published in prestigious journals such as Chemical Engineering Journal, Chemistry - A European Journal and Energy Conversion and Management.

In The Last Decade

Shoujun Zhou

88 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoujun Zhou China 23 611 459 437 253 191 93 1.5k
Chong Tian China 17 282 0.5× 365 0.8× 99 0.2× 82 0.3× 208 1.1× 78 1.2k
Honghao Chen China 23 137 0.2× 177 0.4× 134 0.3× 140 0.6× 357 1.9× 90 1.7k
Mohd Asyraf Zulkifley Malaysia 21 198 0.3× 64 0.1× 485 1.1× 442 1.7× 209 1.1× 128 1.9k
Siyu Wang China 19 359 0.6× 166 0.4× 93 0.2× 44 0.2× 95 0.5× 97 1.0k
Liang Liang United States 26 885 1.4× 218 0.5× 44 0.1× 91 0.4× 373 2.0× 92 2.2k
Kazuyuki Ito Japan 20 579 0.9× 355 0.8× 93 0.2× 10 0.0× 210 1.1× 139 1.2k
S. K. Gupta India 23 968 1.6× 952 2.1× 41 0.1× 33 0.1× 376 2.0× 127 2.2k
Yingjie Zhang China 21 110 0.2× 621 1.4× 69 0.2× 93 0.4× 143 0.7× 101 1.7k
Li‐Tao Zhu China 23 498 0.8× 371 0.8× 25 0.1× 66 0.3× 143 0.7× 74 1.8k
Xinyang Chen China 19 152 0.2× 113 0.2× 173 0.4× 41 0.2× 117 0.6× 67 1.2k

Countries citing papers authored by Shoujun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shoujun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoujun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shoujun Zhou. A scholar is included among the top collaborators of Shoujun 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 Shoujun Zhou. Shoujun 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.
2.
Wang, Jinsong, et al.. (2025). Video Temporal Grounding with Multi-Model Collaborative Learning. Applied Sciences. 15(6). 3072–3072. 3 indexed citations
3.
Wang, Ke, Yitong Liu, Zhenguo Zhao, Shoujun Zhou, & Min Zhang. (2025). Mouthguard types, properties and influence on performance in sport activities: a narrative review. Frontiers in Medicine. 12. 1527621–1527621.
4.
Wang, Yuanquan, et al.. (2025). VLD-Net: Localization and Detection of the Vertebrae From X-Ray Images by Reinforcement Learning With Adaptive Exploration Mechanism and Spine Anatomy Information. IEEE Journal of Biomedical and Health Informatics. 29(7). 4969–4980. 2 indexed citations
5.
Zhang, Mingzhu, Ningning Wang, & Shoujun Zhou. (2025). Research on Fuel Economy of Hydro-Mechanical Continuously Variable Transmission Rotary-Tilling Tractor. Energies. 18(6). 1490–1490. 1 indexed citations
6.
Li, Nan, et al.. (2025). FocusMorph: A novel multi-scale fusion network for 3D brain MR image registration. Pattern Recognition. 167. 111761–111761. 1 indexed citations
7.
Zhou, Shoujun, et al.. (2024). Multi-fault diagnosis of district heating system based on PCA_BP neural network. Process Safety and Environmental Protection. 186. 301–317. 9 indexed citations
8.
Zhang, Zhiqing, et al.. (2024). MambaVesselNet: A Novel Approach to Blood Vessel Segmentation Based on State-Space Models. IEEE Journal of Biomedical and Health Informatics. 29(3). 2034–2047. 4 indexed citations
9.
Liu, Chen, Shoujun Zhou, Yaling Zhang, Chengqi Zhang, & Xiangrui Liu. (2023). Leakage diagnosis of district heating-network based on system simulation and PCA_BP neural network. Process Safety and Environmental Protection. 180. 260–273. 3 indexed citations
10.
Miao, Juzheng, et al.. (2023). SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(4). 1347–1364. 15 indexed citations
11.
Qian, Cheng, et al.. (2022). Guidewire simulation of endovascular intervention: A systematic review. International Journal of Medical Robotics and Computer Assisted Surgery. 18(6). e2444–e2444. 7 indexed citations
12.
Li, Na, et al.. (2021). Iterative stripe artifact correction framework for TOF-MRA. Computers in Biology and Medicine. 134. 104456–104456. 2 indexed citations
13.
Chen, Yang, et al.. (2020). An improved matrix‐based endovascular guidewire position simulation using fusiform ternary tree. International Journal of Medical Robotics and Computer Assisted Surgery. 16(6). 1–11. 3 indexed citations
14.
Wu, Shibin, et al.. (2020). To Align Multimodal Lumbar Spine Images via Bending Energy Constrained Normalized Mutual Information. BioMed Research International. 2020(1). 5615371–5615371. 4 indexed citations
15.
Liu, Shuting, Shoujun Zhou, Jian Yang, et al.. (2019). Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels. Neurocomputing. 380. 162–179. 30 indexed citations
16.
Ou, Yongsheng, et al.. (2019). Depth Estimation of a Deformable Object via a Monocular Camera. Applied Sciences. 9(7). 1366–1366. 2 indexed citations
17.
Zhang, Libo, et al.. (2019). An Improved Real-Time Endovascular Guidewire Position Simulation Using Activity on Edge Network. IEEE Access. 7. 126618–126624. 6 indexed citations
18.
He, Baochun, Cheng Huang, G Sharp, et al.. (2016). Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model. Medical Physics. 43(5). 2421–2434. 25 indexed citations
19.
Yang, Jian, Jingfan Fan, Danni Ai, et al.. (2015). Brain MR image denoising for Rician noise using pre-smooth non-local means filter. BioMedical Engineering OnLine. 14(1). 2–2. 55 indexed citations
20.
Zhou, Shoujun, Wufan Chen, Fucang Jia, et al.. (2013). Segmentation of brain magnetic resonance angiography images based on MAP–MRF with multi-pattern neighborhood system and approximation of regularization coefficient. Medical Image Analysis. 17(8). 1220–1235. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chong Tian Breakdown of academic impact, for papers by Honghao Chen Breakdown of academic impact, for papers by Mohd Asyraf Zulkifley Breakdown of academic impact, for papers by Siyu Wang Breakdown of academic impact, for papers by Liang Liang Breakdown of academic impact, for papers by Kazuyuki Ito Breakdown of academic impact, for papers by S. K. Gupta Breakdown of academic impact, for papers by Yingjie Zhang Breakdown of academic impact, for papers by Li‐Tao Zhu Breakdown of academic impact, for papers by Xinyang Chen
Rankless by CCL
2026