Shan Jiang

3.0k total citations
148 papers, 2.2k citations indexed

About

Shan Jiang is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Shan Jiang has authored 148 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Biomedical Engineering, 37 papers in Computer Vision and Pattern Recognition and 27 papers in Surgery. Recurrent topics in Shan Jiang's work include Soft Robotics and Applications (45 papers), Advanced Radiotherapy Techniques (23 papers) and Augmented Reality Applications (17 papers). Shan Jiang is often cited by papers focused on Soft Robotics and Applications (45 papers), Advanced Radiotherapy Techniques (23 papers) and Augmented Reality Applications (17 papers). Shan Jiang collaborates with scholars based in China, United States and Canada. Shan Jiang's co-authors include Zhiyong Yang, Sha Liu, Wenhao Feng, Guobin Zhang, Pan Li, U.D. Annakkage, Zeyang Zhou, Li Gong, Yan Yu and A.M. Gole and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Langmuir.

In The Last Decade

Shan Jiang

138 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Jiang China 23 908 488 385 362 281 148 2.2k
Poul M. F. Nielsen New Zealand 32 1.3k 1.4× 549 1.1× 652 1.7× 236 0.7× 241 0.9× 200 3.7k
Jin Seo Park South Korea 26 820 0.9× 282 0.6× 567 1.5× 58 0.2× 186 0.7× 148 2.0k
Guanglin Wang China 27 1.6k 1.8× 151 0.3× 614 1.6× 290 0.8× 21 0.1× 194 3.5k
Philippe Cinquin France 30 1.4k 1.6× 201 0.4× 978 2.5× 138 0.4× 512 1.8× 109 3.2k
Ken Masamune Japan 29 1.3k 1.4× 391 0.8× 834 2.2× 204 0.6× 625 2.2× 157 2.4k
Everette C. Burdette United States 24 1.4k 1.5× 638 1.3× 387 1.0× 222 0.6× 227 0.8× 100 2.0k
Jin Ho Chang South Korea 31 2.2k 2.4× 1.5k 3.1× 178 0.5× 164 0.5× 92 0.3× 188 3.3k
Alessandro Ruggiero Italy 29 776 0.9× 364 0.7× 626 1.6× 193 0.5× 29 0.1× 230 3.1k
Makoto Kaneko Japan 26 758 0.8× 163 0.3× 265 0.7× 211 0.6× 103 0.4× 214 2.2k
Sergio Casciaro Italy 25 580 0.6× 434 0.9× 387 1.0× 70 0.2× 291 1.0× 125 2.1k

Countries citing papers authored by Shan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Jiang. A scholar is included among the top collaborators of Shan Jiang 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 Shan Jiang. Shan Jiang 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.
Huang, Felix C., et al.. (2025). Integrating Emotional Features for Stance Detection Aimed at Social Network Security: A Multi-Task Learning Approach. Electronics. 14(1). 186–186. 1 indexed citations
2.
Jiang, Shan, et al.. (2024). A method for predicting needle insertion deflection in soft tissue based on cutting force identification. Computer Methods in Biomechanics & Biomedical Engineering. 29(1). 233–244. 2 indexed citations
3.
Jiang, Shan, et al.. (2024). An adaptive EKF‐SLAM algorithm for cooperative navigation of multi‐aircrafts. IET Control Theory and Applications. 18(18). 2823–2829.
4.
Jiang, Shan, Bowen Li, Zhiyong Yang, Yuhua Li, & Zeyang Zhou. (2024). A back propagation neural network based respiratory motion modelling method. International Journal of Medical Robotics and Computer Assisted Surgery. 20(3). e2647–e2647.
5.
Zhang, Xinyue, Qingjie Wang, Hongwen Li, et al.. (2023). Automated detection of Crop-Row lines and measurement of maize width for boom spraying. Computers and Electronics in Agriculture. 215. 108406–108406. 14 indexed citations
6.
Li, Rongrong, Hongwen Li, Caiyun Lu, et al.. (2023). Design and Experimental Analysis of Straw Suction Unit on Straw Cover Weight Detection Machine. Agriculture. 13(11). 2075–2075. 2 indexed citations
7.
Zhou, Zeyang, Zhiyong Yang, Shan Jiang, et al.. (2023). Validation of a surgical navigation system for hypertensive intracerebral hemorrhage based on mixed reality using an automatic registration method. Virtual Reality. 27(3). 2059–2071. 4 indexed citations
9.
Zhang, Guobin, Zhiyong Yang, & Shan Jiang. (2022). Automatic lung tumor segmentation from CT images using improved 3D densely connected UNet. Medical & Biological Engineering & Computing. 60(11). 3311–3323. 25 indexed citations
10.
Jiang, Shan, et al.. (2021). Deep reinforcement learning for treatment planning in high-dose-rate cervical brachytherapy. Physica Medica. 94. 1–7. 26 indexed citations
11.
Zhang, Guobin, Zhiyong Yang, Li Gong, et al.. (2020). Classification of lung nodules based on CT images using squeeze-and-excitation network and aggregated residual transformations. La radiologia medica. 125(4). 374–383. 49 indexed citations
12.
Yang, Zhiyong, et al.. (2020). Verification of needle guidance accuracy in pelvic phantom using registered ultrasound and MRI images for intracavitary/interstitial gynecologic brachytherapy. Journal of Contemporary Brachytherapy. 12(2). 147–159. 7 indexed citations
13.
Zhang, Guobin, Zhiyong Yang, Li Gong, Shan Jiang, & Lu Wang. (2019). Classification of benign and malignant lung nodules from CT images based on hybrid features. Physics in Medicine and Biology. 64(12). 125011–125011. 39 indexed citations
14.
Yang, Zhiyong, Daguang Zhang, Shan Jiang, et al.. (2019). Individualized and inverse optimized needle configuration for combined intracavitary-interstitial brachytherapy in locally advanced cervical cancer. Journal of Cancer Research and Therapeutics. 15(7). 1589–1589. 10 indexed citations
15.
Ma, Xiaodong, et al.. (2019). Hybrid optimization based on non-coplanar needles for brachytherapy dose planning. Journal of Contemporary Brachytherapy. 11(3). 267–279. 6 indexed citations
16.
Li, Pan, Zhiyong Yang, & Shan Jiang. (2018). Needle-tissue interactive mechanism and steering control in image-guided robot-assisted minimally invasive surgery: a review. Medical & Biological Engineering & Computing. 56(6). 931–949. 38 indexed citations
17.
Yang, Zhiyong, et al.. (2017). Control system design for pneumatic surgical robot under MRI environment. 40(6). 442–445.
18.
Li, Zhi, et al.. (2015). Monte Carlo simulation and experimental investigation of 125I interseed dose attenuation. Zhonghua fangshe yixue yu fanghu zazhi. 35(5). 389–392. 1 indexed citations
19.
Jiang, Shan. (2013). Characteristics of Abrasive Suspension Jet Used in Coal Mine Portable Water Jet Cutting Machine Design. Coal Mine Machinery. 1 indexed citations
20.
Jiang, Shan, Jianxiong Ye, Enmin Feng, & Zhilong Xiu. (2010). Automatic Control Design for Optimal Strategy in Fed-batch Culture with Coupled Feed of Glycerol and Alkali. International Journal of Chemical Reactor Engineering. 8(1). 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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