W. Fan
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Information Systems top 10%
- Web Application Security Vulnerabilities
- Information and Cyber Security
- Spam and Phishing Detection
Papers in
-
- Software Engineering Research 4
- Web Application Security Vulnerabilities 3
-
- Advanced Malware Detection Techniques 11
- Co-authors
- Wei Huang (3 shared papers)Ao Luo (1 shared paper)Wei Huang (4 shared papers)Yongbin Wang (2 shared papers)Jing An (8 shared papers)Liu Ye (1 shared paper)Wei Gong (1 shared paper)Peng Jin (1 shared paper)
- Journals
- IEEE Transactions on Nuclear Science (2 papers)Nuclear Physics A (1 paper)Journal of Multimedia (1 paper)Physical review. C (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
W. Fan
27 papers receiving 182 citations
Peers
Comparison fields: 5 of 54
- Signal Processing 62
- Information Systems 82
- Computer Networks and Communications 80
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by W. Fan
This map shows the geographic impact of W. Fan'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 W. Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Fan more than expected).
Fields of papers citing papers by W. Fan
This network shows the impact of papers produced by W. Fan. 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 W. Fan. The network helps show where W. Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 36 | |
| 2 | 2019 | 27 | |
| 3 | 2022 | 20 | |
| 4 | 2018 | 17 | |
| 5 | 2017 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2024 | 6 | |
| 8 | 2019 | 5 | |
| 9 | 2016 | 5 | |
| 10 | 2004 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2009 | 1 |
About W. Fan
W. Fan is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Software, having authored 28 papers that have together received 186 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (11 papers), Software Testing and Debugging Techniques (6 papers), Network Security and Intrusion Detection (5 papers), Software Engineering Research (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), High-Energy Particle Collisions Research (3 papers), Security and Verification in Computing (3 papers) and Web Application Security Vulnerabilities (3 papers). The work is most often cited by research in Signal Processing (62 citations), Information Systems (82 citations), Computer Networks and Communications (80 citations), Artificial Intelligence (50 citations) and Computer Vision and Pattern Recognition (19 citations). W. Fan has collaborated with scholars based in China, United States and France. Frequent co-authors include Wei Huang, Ao Luo, Wei Huang, Yongbin Wang, Jing An, Liu Ye, Wei Gong, Peng Jin, Meng Zhang and Zongyi Zhang. Their work appears in journals such as IEEE Transactions on Nuclear Science, Nuclear Physics A, Journal of Multimedia, Physical review. C and IEEE Internet of Things Journal.
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.