Fei Shi

4.2k citations
178 papers · 2.9k · 1 hit paper · h-index 27

Impact in

Papers in

Fei Shi

167 papers receiving 2.9k citations

Fei Shi's Hit Papers

CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation 2020 · 483 citations
4830+2+4Years since publication100200300400

Peers

Fei Shi
Comparison fields: 5 of 126
  • Ophthalmology 762
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Computer Vision and Pattern Recognition 1.0k
  • Media Technology 205
  • Neurology 177
Replace Jorge Novo with:
Jorge Novo Spain
Yun Jiang China
Tonghe Wang United States
Geoff Dougherty United States
Francesco Leporati Italy
Chenyang Xu United States
Mitko Veta Netherlands
Nacim Betrouni France
Peng Feng China
Yuchen Qiu United States
Fei Shi relative to Jorge Novo Spain Jorge Novo's profile →
Citations per field
00.5×5.2×
Jorge Novo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Fei Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Shi Line = papers co-authored together Fei Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation
Hit paper breakdown →
2020483
2 2018145
3 2015137
4 2016127
5 2014102
6 201890
7 202081
8 200571
9 202168
10 202159
11 202258
12 202154
13 201849
14 201947
15 202247
16 201546
17 201646
18
可視光駆動光触媒有機汚染物質分解向上のためのプラズモン効果と超吸着能を有するAu@TiO 2 /グラフェンナノ複合材料の作製
201445
19 202338
20 201838

About Fei Shi

Fei Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 178 papers that have together received 2.9k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (73 papers), Optical Coherence Tomography Applications (33 papers), Glaucoma and retinal disorders (28 papers), Retinal Diseases and Treatments (22 papers), Medical Image Segmentation Techniques (17 papers), Retinal and Optic Conditions (13 papers), Image and Signal Denoising Methods (12 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Ophthalmology (762 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Computer Vision and Pattern Recognition (1.0k citations), Media Technology (205 citations) and Neurology (177 citations). Fei Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xinjian Chen, Weifang Zhu, Dehui Xiang, Yuhui Ma, Xuena Cheng, Meng Wang, Heming Zhao, Haoyu Chen, Shuanglang Feng and Kai Yu. Their work appears in journals such as Biomedical Optics Express, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Physics in Medicine and Biology and Medical Physics.

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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