Junfeng Wang
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
-
- Network Security and Intrusion Detection 37
- Network Traffic and Congestion Control 9
- IoT and Edge/Fog Computing 7
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- Advanced Malware Detection Techniques 46
- Co-authors
- Weishi Li (3 shared papers)Zhou Ming-tian (6 shared papers)Lei Li (1 shared paper)Qi Li (4 shared papers)Zhiyang Fang (11 shared papers)Peng Wu (3 shared papers)Qi Li (2 shared papers)Fang Wang (1 shared paper)
- Journals
- IEEE Access (9 papers)IEEE Internet of Things Journal (6 papers)Computers & Security (5 papers)Computer Networks (5 papers)Applied Soft Computing (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Junfeng Wang
152 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 132
- Signal Processing 898
- Computer Networks and Communications 1.3k
- Software 173
- Information Systems 735
- Artificial Intelligence 642
Countries citing papers authored by Junfeng Wang
This map shows the geographic impact of Junfeng Wang'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 Junfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Wang more than expected).
Fields of papers citing papers by Junfeng Wang
This network shows the impact of papers produced by Junfeng Wang. 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 Junfeng Wang. The network helps show where Junfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Wang, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2006 | 120 | |
| 3 | 2007 | 109 | |
| 4 | 2019 | 98 | |
| 5 | 2019 | 73 | |
| 6 | 2019 | 64 | |
| 7 | 2014 | 60 | |
| 8 | 2016 | 60 | |
| 9 | 2017 | 53 | |
| 10 | 2021 | 49 | |
| 11 | 2020 | 48 | |
| 12 | 2017 | 46 | |
| 13 | 2018 | 44 | |
| 14 | 2023 | 43 | |
| 15 | 2011 | 43 | |
| 16 | 2019 | 41 | |
| 17 | 2016 | 41 | |
| 18 | 2013 | 40 | |
| 19 | 2017 | 38 | |
| 20 | 2017 | 38 |
About Junfeng Wang
Junfeng Wang is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 168 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (46 papers), Network Security and Intrusion Detection (37 papers), Software Engineering Research (13 papers), Anomaly Detection Techniques and Applications (11 papers), Software Testing and Debugging Techniques (9 papers), Network Traffic and Congestion Control (9 papers), IoT and Edge/Fog Computing (7 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). The work is most often cited by research in Signal Processing (898 citations), Computer Networks and Communications (1.3k citations), Software (173 citations), Information Systems (735 citations) and Artificial Intelligence (642 citations). Junfeng Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weishi Li, Zhou Ming-tian, Lei Li, Qi Li, Zhiyang Fang, Peng Wu, Qi Li, Fang Wang, Dong Liu and Wen Guo. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Computers & Security, Computer Networks and Applied Soft 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.