Junsheng Shi

1.7k total citations · 2 hit papers
95 papers, 1.1k citations indexed

About

Junsheng Shi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Junsheng Shi has authored 95 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Junsheng Shi's work include Advanced Image Fusion Techniques (15 papers), Surgical Simulation and Training (15 papers) and Color Science and Applications (15 papers). Junsheng Shi is often cited by papers focused on Advanced Image Fusion Techniques (15 papers), Surgical Simulation and Training (15 papers) and Color Science and Applications (15 papers). Junsheng Shi collaborates with scholars based in China, Australia and United Kingdom. Junsheng Shi's co-authors include Yonghang Tai, Xiaoqiao Huang, Bixuan Gao, Jun Zhang, Zaiqing Chen, Qiong Li, Qiong Li, Jun Liu, Wu-Ming Liu and Wu‐Ming Liu and has published in prestigious journals such as Scientific Reports, Optics Express and IEEE Access.

In The Last Decade

Junsheng Shi

77 papers receiving 1.1k citations

Hit Papers

Hourly forecasting of solar irradiance based on CEEMDAN a... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junsheng Shi China 14 577 516 317 174 76 95 1.1k
Maurizio Spadavecchia Italy 17 378 0.7× 172 0.3× 231 0.7× 165 0.9× 104 1.4× 60 970
Hongda Liu China 15 1.0k 1.8× 707 1.4× 461 1.5× 104 0.6× 119 1.6× 87 1.8k
Guannan Li China 20 312 0.5× 221 0.4× 126 0.4× 136 0.8× 119 1.6× 63 1.2k
Chenyu Wu China 20 950 1.6× 54 0.1× 137 0.4× 337 1.9× 31 0.4× 76 1.5k
Ekaitz Zulueta Spain 22 500 0.9× 145 0.3× 148 0.5× 106 0.6× 119 1.6× 132 1.5k
Ruoyu Yang China 19 192 0.3× 93 0.2× 54 0.2× 144 0.8× 41 0.5× 62 1.0k
Ivan Glesk United States 31 3.1k 5.3× 514 1.0× 158 0.5× 51 0.3× 241 3.2× 227 3.8k
Vincent Christlein Germany 18 155 0.3× 239 0.5× 274 0.9× 553 3.2× 36 0.5× 74 1.3k
J. Solà Switzerland 12 167 0.3× 149 0.3× 23 0.1× 79 0.5× 70 0.9× 27 915

Countries citing papers authored by Junsheng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Junsheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junsheng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Junsheng Shi. A scholar is included among the top collaborators of Junsheng Shi 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 Junsheng Shi. Junsheng Shi 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, N. C., et al.. (2025). Application of mean maximum Young’s modulus value as a new parameter for differential diagnosis of prostate diseases. Scientific Reports. 15(1). 3832–3832. 1 indexed citations
2.
Zhang, Shengdong, Xiangdong Li, Hao Zhang, et al.. (2025). LMS-Net: A learned Mumford-Shah network for binary few-shot medical image segmentation. Medical Image Analysis. 105. 103676–103676.
3.
Qian, Kai, et al.. (2024). Enhancing endoscopic scene reconstruction with color-aware inverse rendering through neural SDF and radiance fields. Biomedical Optics Express. 15(6). 3914–3914. 1 indexed citations
4.
Shi, Junsheng, et al.. (2024). 面向机器人手术模拟器的神经辐射场软组织动态三维重建. Acta Optica Sinica. 44(7). 733001–733001. 2 indexed citations
5.
Huang, Xiaobiao, et al.. (2024). Experimental study of hue cancellation and its mechanism exploration. Optics Express. 32(26). 45505–45505.
6.
Shi, Junsheng, et al.. (2023). The Application of Photovoltaic-Electric Spring Technology to Rural Power Grids. Processes. 11(6). 1830–1830. 2 indexed citations
7.
Tai, Yonghang, et al.. (2021). Automatically Addressing System for Ultrasound-Guided Renal Biopsy Training Based on Augmented Reality. IEEE Journal of Biomedical and Health Informatics. 25(5). 1495–1507. 8 indexed citations
8.
Liu, Tao, Yonghang Tai, Lei Wei, et al.. (2020). Augmented reality in neurosurgical navigation: A survey. International Journal of Medical Robotics and Computer Assisted Surgery. 16(6). 1–20. 21 indexed citations
9.
Tai, Yonghang, Lei Wei, Hailing Zhou, et al.. (2019). Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness. International Journal of Distributed Sensor Networks. 15(4). 812336785–812336785. 12 indexed citations
10.
Tai, Yonghang, Chengqi Xia, Jun Peng, et al.. (2019). Towards Virtual VATS, Face, and Construct Evaluation for Peg Transfer Training of Box, VR, AR, and MR Trainer. Journal of Healthcare Engineering. 2019. 1–10. 18 indexed citations
11.
Li, Feiyan, Yonghang Tai, Qiong Li, et al.. (2019). Real-Time Needle Force Modeling for VR-Based Renal Biopsy Training with Respiratory Motion Using Direct Clinical Data. Applied Bionics and Biomechanics. 2019. 1–14. 12 indexed citations
12.
Chen, Zaiqing, et al.. (2019). Changes in Binocular Color Fusion Limit Caused by Different Disparities. IEEE Access. 7. 70088–70101. 11 indexed citations
13.
Huang, Xiaoqiao, Junsheng Shi, Bixuan Gao, et al.. (2019). Forecasting Hourly Solar Irradiance Using Hybrid Wavelet Transformation and Elman Model in Smart Grid. IEEE Access. 7. 139909–139923. 58 indexed citations
14.
Tai, Yonghang, et al.. (2019). Development and assessment of a haptic-enabled holographic surgical simulator for renal biopsy training. Soft Computing. 24(8). 5783–5794. 5 indexed citations
15.
Tai, Yonghang, Lei Wei, Hailing Zhou, et al.. (2018). A High-Immersive Medical Training Platform Using Direct Intraoperative Data. IEEE Access. 6. 69438–69452. 14 indexed citations
16.
Tai, Yonghang, Lei Wei, Hailing Zhou, et al.. (2018). Machine learning–based haptic‐enabled surgical navigation with security awareness. Concurrency and Computation Practice and Experience. 31(19). 4 indexed citations
17.
Shi, Junsheng, et al.. (2016). Design of Portable Time-Resolved Fluorometer. Archives of Biochemistry and Biophysics. 4(6). 79. 1 indexed citations
18.
Shi, Junsheng. (2008). Designing Study of Multi-spectral Imaging System Based on Two CMOS. Journal of Yunnan Normal University.
19.
Zhou, Xiangtian, Fan Lü, Rui Xie, et al.. (2007). Recovery from axial myopia induced by a monocularly deprived facemask in adolescent (7-week-old) guinea pigs. Vision Research. 47(8). 1103–1111. 4 indexed citations
20.
Shi, Junsheng & Weiqi Jin. (2006). A Study of Performance Assessments of Image Fusion for Color Night Vision Using Entropy. Acta Armamentarii. 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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