Fei Yan

1.5k citations
70 papers · 1.1k · h-index 16

Impact in

    • Imbalanced Data Classification Techniques
    • Security and Verification in Computing
    • Text and Document Classification Technologies
    • Anomaly Detection Techniques and Applications
    • Advanced Malware Detection Techniques

Papers in

Fei Yan

67 papers receiving 1.1k citations

Peers

Fei Yan
Comparison fields: 5 of 96
  • Artificial Intelligence 696
  • Signal Processing 158
  • Computer Networks and Communications 331
  • Information Systems 291
  • Hardware and Architecture 50
Replace Shengfeng Tian with:
Shengfeng Tian China
Alexandre Termier France
Jun’ichi Takeuchi Japan
Samir Elmougy Egypt
Changzhen Hu China
Refik Samet Türkiye
Paulo Costa United States
Dantong Ouyang China
Hui Dong Lu China
Erxue Min China
Fei Yan relative to Shengfeng Tian China Shengfeng Tian's profile →
Citations per field
00.5×2×2.8×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012259
2 201895
3 201081
4 200979
5 201254
6 201047
7 200641
8 201339
9 200632
10 200631
11 200730
12 201026
13 201725
14 201820
15 201518
16 201618
17 202313
18 200412
19 202212
20 200611

About Fei Yan

Fei Yan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Hardware and Architecture, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Security and Verification in Computing (23 papers), Cloud Data Security Solutions (14 papers), Advanced Malware Detection Techniques (12 papers), Network Security and Intrusion Detection (10 papers), Distributed and Parallel Computing Systems (7 papers), Cloud Computing and Resource Management (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Artificial Intelligence (696 citations), Signal Processing (158 citations), Computer Networks and Communications (331 citations), Information Systems (291 citations) and Hardware and Architecture (50 citations). Fei Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Josef Kittler, Muhammad Atif Tahir, Huanguo Zhang, Krystian Mikolajczyk, Bo Zhao, Zhidong Shen, Juan Wang, Xiaoping Wu, Li Li and William J. Christmas. Their work appears in journals such as Tsinghua Science & Technology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Science China Information Sciences, China Communications and IEEE Transactions on Dependable and Secure Computing.

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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