Fei Chen

4.5k citations
134 papers · 2.1k · h-index 25

Impact in

Papers in

Fei Chen

125 papers receiving 2.0k citations

Peers

Fei Chen
Comparison fields: 5 of 111
  • Information Systems 737
  • Artificial Intelligence 977
  • Computer Networks and Communications 650
  • Acoustics and Ultrasonics 25
  • Computer Vision and Pattern Recognition 496
Replace Nina Taft with:
Nina Taft United States
Kun He China
Ching‐Nung Yang Taiwan
Ye Tian China
Jiangtao Wen China
Yanping Xiang China
Xiangyang Luo China
Xiaojun Wang China
Mikael Skoglund Sweden
Kamalika Chaudhuri United States
Fei Chen relative to Nina Taft United States Nina Taft's profile →
Citations per field
00.5×6.3×
Nina Taft · 1×
Citations per year

Countries citing papers authored by Fei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018190
2 2016152
3 201689
4
Community Information Management.
200663
5 201758
6 201053
7 201353
8 202051
9 201549
10 200948
11 202047
12
Federated Meta-Learning for Recommendation
201846
13 201446
14 201845
15 201544
16 201834
17 201234
18 202233
19 201233
20 201231

About Fei Chen

Fei Chen is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 134 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (33 papers), Cloud Data Security Solutions (31 papers), Blockchain Technology Applications and Security (21 papers), Chaos-based Image/Signal Encryption (16 papers), IoT and Edge/Fog Computing (12 papers), Privacy-Preserving Technologies in Data (12 papers), Advanced Malware Detection Techniques (11 papers) and Network Security and Intrusion Detection (10 papers). The work is most often cited by research in Information Systems (737 citations), Artificial Intelligence (977 citations), Computer Networks and Communications (650 citations), Acoustics and Ultrasonics (25 citations) and Computer Vision and Pattern Recognition (496 citations). Fei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Xiang, Yuanyuan Yang, Alex X. Liu, Laizhong Cui, Zhong Ming, Leo Yu Zhang, Yushu Zhang, Jiantao Zhou, Kwok‐Wo Wong and Nan Lu. Their work appears in journals such as IEEE Access, Information Sciences, IEEE Transactions on Information Forensics and Security, Journal of Parallel and Distributed Computing and Computer Methods in Biomechanics & Biomedical Engineering.

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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