Fei Du

423 citations
18 papers · 265 · h-index 9

Impact in

Papers in

Fei Du

16 papers receiving 259 citations

Peers

Fei Du
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 155
  • Safety, Risk, Reliability and Quality 33
  • Media Technology 20
  • Artificial Intelligence 59
  • Aerospace Engineering 42
Replace Davide Modolo with:
Davide Modolo United States
Guangting Wang China
Daoxun Xia China
James Steven Supančič United States
Xuanyu He China
V. Manohar India
Hyung–Il Choi South Korea
Mingzhen Huang United States
Matthew Boonstra United States
Fei Du relative to Davide Modolo United States Davide Modolo's profile →
Citations per field
00.5×2.7×
Davide Modolo · 1×
Citations per year

Countries citing papers authored by Fei Du

Since Specialization
Citations

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

Fields of papers citing papers by Fei Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020105
2 202341
3 201923
4 201920
5 201815
6 202312
7 201911
8 201810
9 20228
10 20195
11 20135
12 20254
13 20192
14 20112
15 20111
16 20161
17 20240
18 20110

About Fei Du

Fei Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Sociology and Political Science, having authored 18 papers that have together received 265 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Image Enhancement Techniques (2 papers), Advanced optical system design (2 papers), Visual Attention and Saliency Detection (2 papers), 3D IC and TSV technologies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Safety, Risk, Reliability and Quality (33 citations), Media Technology (20 citations), Artificial Intelligence (59 citations) and Aerospace Engineering (42 citations). Fei Du has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xianglong Tang, Wei Zhao, Peng Liu, Jianshan Sun, Yuanchun Jiang, Yun Yang, X. Chen, Qi Jia, Peng Yang and Peng Liu. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Transactions on Circuits and Systems for Video Technology, Complex & Intelligent Systems, Future Generation Computer Systems and Journal of the Association for Information Science and Technology.

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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