Fei Yan

1.4k citations
64 papers · 900 · h-index 14

Impact in

    • Imbalanced Data Classification Techniques
    • Security and Verification in Computing
    • Anomaly Detection Techniques and Applications
    • Internet Traffic Analysis and Secure E-voting
    • Advanced Malware Detection Techniques

Papers in

Fei Yan

60 papers receiving 855 citations

Peers

Fei Yan
Comparison fields: 5 of 88
  • Artificial Intelligence 544
  • Signal Processing 138
  • Computer Networks and Communications 274
  • Information Systems 236
  • Hardware and Architecture 46
Replace Shengfeng Tian with:
Shengfeng Tian China
Abdullah Alamri Saudi Arabia
Dantong Ouyang China
Refik Samet Türkiye
Ming Yang China
Jieren Cheng China
Changzhen Hu China
Erxue Min China
Zbigniew Kotulski Poland
Fei Yan relative to Shengfeng Tian China Shengfeng Tian's profile →
Citations per field
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Shengfeng Tian · 1×
Citations per year

Countries citing papers authored by Fei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Fei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012232
2 201886
3 201071
4 201255
5 201045
6 201336
7 200635
8 200627
9 200627
10 200725
11 201722
12 201618
13 201517
14 201816
15 201610
16 202210
17 201610
18 20239
19 20069
20 20229

About Fei Yan

Fei Yan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 900 indexed citations. Recurring topics across this work include Security and Verification in Computing (19 papers), Cloud Data Security Solutions (12 papers), Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (5 papers), Cloud Computing and Resource Management (5 papers), Distributed systems and fault tolerance (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Artificial Intelligence (544 citations), Signal Processing (138 citations), Computer Networks and Communications (274 citations), Information Systems (236 citations) and Hardware and Architecture (46 citations). Fei Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Josef Kittler, Muhammad Atif Tahir, Bo Zhao, Juan Wang, Huanguo Zhang, Xiaoping Wu, Zhidong Shen, Li Li, William Christmas and Wenbo Mao. Their work appears in journals such as Tsinghua Science & Technology, Science China Information Sciences, China Communications, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Vehicular 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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