Fei Sheng

588 citations
38 papers · 417 · h-index 13

Impact in

  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neurosurgical Procedures and Complications

Papers in

Fei Sheng

36 papers receiving 410 citations

Peers

Fei Sheng
Comparison fields: 5 of 98
  • Neurology 84
  • Hematology 23
  • Cancer Research 28
  • Computer Vision and Pattern Recognition 45
  • Immunology and Allergy 10
Replace Jianwu Long with:
Jianwu Long China
Xufeng Jiang China
Zhaohui Zheng China
Chaoyue Chen China
Zhihui Liu China
Zhenguang Chen China
Olga Kubassova United Kingdom
Jie Bai China
Antonio Guiducci Italy
Fei Sheng relative to Jianwu Long China Jianwu Long's profile →
Citations per field
00.5×2×3.3×
Jianwu Long · 1×
Citations per year

Countries citing papers authored by Fei Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Fei Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Sheng, 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 Sheng Line = papers co-authored together Fei Sheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200984
2 202229
3 201225
4 202125
5 202223
6 201023
7 201322
8 201217
9 201816
10 201716
11 201715
12 201813
13 202113
14 202310
15 20238
16 20188
17 20228
18 20128
19 20186
20 20216

About Fei Sheng

Fei Sheng is a scholar working on Surgery, Molecular Biology, Neurology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 38 papers that have together received 417 indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Autonomous Vehicle Technology and Safety (2 papers), Neurosurgical Procedures and Complications (2 papers), Cancer Cells and Metastasis (2 papers), Epigenetics and DNA Methylation (2 papers), Traffic Prediction and Management Techniques (2 papers) and Traffic control and management (2 papers). The work is most often cited by research in Neurology (84 citations), Hematology (23 citations), Cancer Research (28 citations), Computer Vision and Pattern Recognition (45 citations) and Immunology and Allergy (10 citations). Fei Sheng has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Guofeng Wu, Likun Wang, Jia Ruan, Miao Jiang, Hongyu Bao, Changgeng Ruan, Mingqing Zhu, Leilei Xu, Anlong Ming and Chao Xia. Their work appears in journals such as Spine, Brain Research, Environmental Toxicology, BioMed Research International and Journal of Materials Science Materials in Medicine.

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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