Fei Chen

4.4k citations
132 papers · 2.0k · h-index 25

Impact in

Papers in

Fei Chen

125 papers receiving 2.0k citations

Peers

Fei Chen
Comparison fields: 5 of 109
  • Information Systems 723
  • Artificial Intelligence 962
  • Computer Networks and Communications 650
  • Acoustics and Ultrasonics 24
  • Computer Vision and Pattern Recognition 492
Replace Joongheon Kim with:
Joongheon Kim South Korea
Nina Taft United States
Kun He China
Ching‐Nung Yang Taiwan
Ye Tian China
Jiangtao Wen China
Yanping Xiang China
Xiaojun Wang China
Xiangyang Luo China
Kai Yu Germany
Fei Chen relative to Joongheon Kim South Korea Joongheon Kim's profile →
Citations per field
00.5×1.5×2.1×
Joongheon Kim · 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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018185
2 2016148
3 201689
4
Community Information Management.
200663
5 201757
6 201053
7 201353
8 202049
9 201549
10 202047
11 200947
12
Federated Meta-Learning for Recommendation
201846
13 201446
14 201845
15 201544
16 201833
17 201233
18 201232
19 202231
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 132 papers that have together received 2.0k 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 (723 citations), Artificial Intelligence (962 citations), Computer Networks and Communications (650 citations), Acoustics and Ultrasonics (24 citations) and Computer Vision and Pattern Recognition (492 citations). Fei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Xiang, Alex X. Liu, Yuanyuan Yang, Laizhong Cui, Zhong Ming, Leo Yu Zhang, Yushu Zhang, Jiantao Zhou, Jing Qin and Kwok‐Wo Wong. Their work appears in journals such as IEEE Access, Information Sciences, Journal of Parallel and Distributed Computing, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Big Data.

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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