Fei Shi

4.0k total citations · 1 hit paper
174 papers, 2.8k citations indexed

About

Fei Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fei Shi has authored 174 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Ophthalmology and 52 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fei Shi's work include Retinal Imaging and Analysis (77 papers), Glaucoma and retinal disorders (32 papers) and Optical Coherence Tomography Applications (32 papers). Fei Shi is often cited by papers focused on Retinal Imaging and Analysis (77 papers), Glaucoma and retinal disorders (32 papers) and Optical Coherence Tomography Applications (32 papers). Fei Shi collaborates with scholars based in China, Hong Kong and United States. Fei Shi's co-authors include Xinjian Chen, Weifang Zhu, Dehui Xiang, Yuhui Ma, Xuena Cheng, Meng Wang, Heming Zhao, Haoyu Chen, Shuanglang Feng and Kai Yu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Fei Shi

164 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation

2020 455 citations Fei Shi, Meng Wang et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Shi China	27	1.6k	1.0k	854	792	460	174	2.8k
Geoff Dougherty United States	27	966 0.6×	293 0.3×	105 0.1×	762 1.0×	158 0.3×	139	2.4k
Jorge Novo Spain	22	1.1k 0.7×	341 0.3×	605 0.7×	293 0.4×	293 0.6×	142	1.7k
D. Marín Spain	17	1.4k 0.9×	953 0.9×	1.1k 1.3×	51 0.1×	57 0.1×	36	1.9k
Guolan Lu United States	27	1.6k 1.0×	335 0.3×	34 0.0×	1.6k 2.0×	381 0.8×	52	3.8k
Tonghe Wang United States	37	3.4k 2.1×	1.5k 1.4×	34 0.0×	1.7k 2.1×	785 1.7×	222	4.9k
Yun Jiang China	18	577 0.4×	471 0.4×	214 0.3×	77 0.1×	341 0.7×	64	1.3k
Joseph Cohen United States	18	379 0.2×	451 0.4×	17 0.0×	187 0.2×	321 0.7×	107	1.9k
Liansheng Wang China	25	561 0.4×	723 0.7×	16 0.0×	316 0.4×	606 1.3×	112	1.7k
Jason Dowling Australia	24	1.7k 1.1×	437 0.4×	20 0.0×	662 0.8×	381 0.8×	129	2.7k
Praveer Singh United States	20	519 0.3×	253 0.2×	76 0.1×	111 0.1×	259 0.6×	58	1.3k

Countries citing papers authored by Fei Shi

Since Specialization

Citations

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

Fields of papers citing papers by Fei Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Shi. A scholar is included among the top collaborators of Fei 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 Fei Shi. Fei Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Haizhou, Fei Shi, Wen Weng, et al.. (2025). Damage analyses between Q-switched Tm-doped yttrium aluminum garnet and yttrium aluminum perovskite lasers and the application in thermoplastics processing. Optics & Laser Technology. 186. 112741–112741.

Wang, Jingtao, Muhammad Mateen, Dehui Xiang, et al.. (2025). Task Augmentation-Based Meta-Learning Segmentation Method for Retinopathy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8583–8597.

Li, Tong, et al.. (2024). Insights into performance and mechanism of CuCo2O4/MXene composite as an efficient peroxymonosulfate activator for p-nitrophenol degradation. Journal of environmental chemical engineering. 12(5). 114119–114119. 4 indexed citations

Bian, Yun, Weifang Zhu, Fei Shi, et al.. (2024). Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation. IEEE Transactions on Image Processing. 33. 4882–4895. 1 indexed citations

Peng, Tao, Haoyu Chen, Weifang Zhu, et al.. (2024). Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images. IEEE Transactions on Biomedical Engineering. 71(9). 2789–2799. 1 indexed citations

Shi, Fei, Qinghua Li, Ye Yuan, et al.. (2024). Engineering the ultrathin polyamide nanofilm featuring high free volume via interfacial polymerization for efficient CO2 capture. Journal of Membrane Science. 715. 123443–123443. 4 indexed citations

Xiang, Dehui, Tao Peng, Yun Bian, et al.. (2024). Unpaired Dual-Modal Image Complementation Learning for Single-Modal Medical Image Segmentation. IEEE Transactions on Biomedical Engineering. 72(2). 664–674.

Peng, Zhiyu, Yihan Zhang, Jie Lu, et al.. (2023). Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study. Frontiers in Artificial Intelligence. 6. 1323924–1323924. 11 indexed citations

Li, Tong, et al.. (2023). Facet-Dependent Adsorption of Phosphate on Hematite Nanoparticles: Role of Singly Coordinated Hydroxyl. Water. 15(23). 4070–4070. 2 indexed citations

10.

Xiang, Dehui, et al.. (2023). Pancreatic CT image segmentation based on transfer learning. 14. 51–51.

11.

Shi, Fei, Yi Zhou, Jingcheng Wang, et al.. (2023). A Multi-Scale Fusion and Transformer Based Registration Guided Speckle Noise Reduction for OCT Images. IEEE Transactions on Medical Imaging. 43(1). 473–488. 4 indexed citations

12.

Wang, Meng, Weifang Zhu, Yi Zhou, et al.. (2023). Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images. IEEE Transactions on Biomedical Engineering. 70(7). 2013–2024. 9 indexed citations

13.

Chen, Xinjian, et al.. (2022). Multi-class retinal fluid joint segmentation based on cascaded convolutional neural networks. Physics in Medicine and Biology. 67(12). 125018–125018. 2 indexed citations

14.

Chen, Xinjian, Fei Shi, Dehui Xiang, et al.. (2022). Global and Local Feature Reconstruction for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 41(9). 2273–2284. 53 indexed citations

15.

Duan, Huijuan, et al.. (2022). An efficient like dual-function template used to synthesize hierarchical beta zeolites with abundant intracrystalline mesopores. Solid State Sciences. 133. 107002–107002. 3 indexed citations

16.

Zhang, Lu, Yunhe Ding, Xinjian Chen, et al.. (2021). In vivo fluorescence molecular imaging of the vascular endothelial growth factor in rats with early diabetic retinopathy. Biomedical Optics Express. 12(11). 7185–7185. 4 indexed citations

17.

Yang, Changqing, Xinxin Zhou, Weifang Zhu, et al.. (2021). Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images. IEEE Journal of Biomedical and Health Informatics. 26(2). 648–659. 13 indexed citations

18.

Pan, Lingjiao, Fei Shi, Dehui Xiang, et al.. (2020). OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images. IEEE Transactions on Image Processing. 29(1). 3885–3897. 20 indexed citations

19.

Gao, Enting, Fei Shi, Weifang Zhu, et al.. (2014). Comparison of retinal thickness measurements of normal eyes between topcon algorithm and a graph based algorithm. 81–88. 3 indexed citations

20.

Shi, Fei, Yuyan Liu, Xu Kong, & Yang Chen. (2014). Artificial neural network to search for metal-poor galaxies. Springer Link (Chiba Institute of Technology). 5 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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