Shanhui Sun

1.2k total citations
31 papers, 677 citations indexed

About

Shanhui Sun is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Shanhui Sun has authored 31 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Shanhui Sun's work include Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Shanhui Sun is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Shanhui Sun collaborates with scholars based in United States, China and Canada. Shanhui Sun's co-authors include Reinhard Beichel, Christian Bauer, Milan Sonka, Heye Zhang, Terrence Chen, Xin Wang, Zhifan Gao, Victor Hugo C. de Albuquerque, Youbing Yin and Xin Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Human Reproduction.

In The Last Decade

Shanhui Sun

27 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanhui Sun United States 14 361 265 140 139 123 31 677
Phillip Chlap Australia 10 359 1.0× 182 0.7× 117 0.8× 198 1.4× 112 0.9× 30 792
Rongjun Ge China 16 305 0.8× 271 1.0× 220 1.6× 133 1.0× 80 0.7× 35 657
Wenjian Qin China 17 562 1.6× 330 1.2× 212 1.5× 372 2.7× 124 1.0× 70 1.0k
Kelei He China 16 580 1.6× 441 1.7× 210 1.5× 369 2.7× 135 1.1× 25 1.1k
Ari Seff United States 9 588 1.6× 294 1.1× 197 1.4× 406 2.9× 192 1.6× 10 1.0k
Amod Jog United States 15 227 0.6× 341 1.3× 143 1.0× 87 0.6× 21 0.2× 32 698
Ali Gooya United Kingdom 17 540 1.5× 462 1.7× 228 1.6× 160 1.2× 130 1.1× 50 1.1k
Chenchu Xu China 15 368 1.0× 245 0.9× 185 1.3× 105 0.8× 51 0.4× 35 741
Jinzheng Cai United States 11 408 1.1× 357 1.3× 101 0.7× 383 2.8× 73 0.6× 17 773

Countries citing papers authored by Shanhui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shanhui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanhui Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shanhui Sun. A scholar is included among the top collaborators of Shanhui Sun 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 Shanhui Sun. Shanhui Sun 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.
Zhao, Lin, et al.. (2025). Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 17693–17701.
2.
Chien, Chi‐Wen, et al.. (2024). P-201 Embryo prioritization through an AI-powered evaluation system improves the clinical outcome in IVF cycles. Human Reproduction. 39(Supplement_1). 1 indexed citations
3.
Hu, Jing, Xin Wang, Shu Hu, et al.. (2023). Attention Guided Policy Optimization for 3D Medical Image Registration. IEEE Access. 11. 65546–65558. 6 indexed citations
4.
Wang, Puyang, et al.. (2022). Pyramid Convolutional RNN for MRI Image Reconstruction. IEEE Transactions on Medical Imaging. 41(8). 2033–2047. 37 indexed citations
5.
Hu, Jing, Ziwei Luo, Xin Wang, et al.. (2020). End-to-end multimodal image registration via reinforcement learning. Medical Image Analysis. 68. 101878–101878. 37 indexed citations
6.
Gao, Zhifan, Xin Wang, Shanhui Sun, et al.. (2019). Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging. Neural Networks. 123. 82–93. 86 indexed citations
7.
Wu, Xi, et al.. (2018). Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning. Physics in Medicine and Biology. 64(2). 25005–25005. 46 indexed citations
8.
Gao, Zhifan, Shanhui Sun, Xin Wang, et al.. (2018). Holistic and Deep Feature Pyramids for Saliency Detection.. British Machine Vision Conference. 67. 15 indexed citations
9.
Murthy, Venkatesh N., Vivek Kumar Singh, Shanhui Sun, et al.. (2017). Cascaded deep decision networks for classification of endoscopic images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10133. 101332B–101332B. 9 indexed citations
10.
Zhang, Dong, et al.. (2017). Vessel tree tracking in angiographic sequences. Journal of Medical Imaging. 4(2). 25001–25001. 7 indexed citations
11.
Kamen, Ali, Shanhui Sun, Shaohua Wan, et al.. (2016). Automatic Tissue Differentiation Based on Confocal Endomicroscopic Images for Intraoperative Guidance in Neurosurgery. BioMed Research International. 2016. 1–8. 24 indexed citations
12.
Sun, Shanhui, et al.. (2014). Short term cloud coverage prediction using ground based all sky imager. 121–126. 19 indexed citations
13.
Liu, Feng, et al.. (2014). <I>A Special Section on</I> The Methods of Medical Imaging and Health System. Journal of Medical Imaging and Health Informatics. 4(3). 395–398. 2 indexed citations
14.
Wang, Peng, et al.. (2014). Model-Guided Extraction of Coronary Vessel Structures in 2D X-Ray Angiograms. Lecture notes in computer science. 17(Pt 2). 594–602. 6 indexed citations
15.
Sun, Shanhui, Milan Sonka, & Reinhard Beichel. (2013). Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface. Computerized Medical Imaging and Graphics. 37(1). 15–27. 20 indexed citations
16.
Sun, Shanhui, Milan Sonka, & Reinhard Beichel. (2013). Graph-Based IVUS Segmentation With Efficient Computer-Aided Refinement. IEEE Transactions on Medical Imaging. 32(8). 1536–1549. 56 indexed citations
17.
Sun, Shanhui, Milan Sonka, & Reinhard Beichel. (2013). Graph-based 4D lung segmentation in CT images with expert-guided computer-aided refinement. 1312–1315. 6 indexed citations
18.
Bauer, Christian, Shanhui Sun, Wenqing Sun, et al.. (2012). Automated measurement of uptake in cerebellum, liver, and aortic arch in full‐body FDG PET/CT scans. Medical Physics. 39(6Part1). 3112–3123. 11 indexed citations
19.
Sun, Shanhui, Christian Bauer, & Reinhard Beichel. (2011). Automated 3-D Segmentation of Lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach. IEEE Transactions on Medical Imaging. 31(2). 449–460. 143 indexed citations
20.
Sun, Shanhui, et al.. (1969). Mathematical Modeling and Fractal Clustering Algorithm in Online Shopping. Journal of Networks. 9(11). 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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