Feng Ye
Impact in
-
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Network Security and Intrusion Detection 17
- IoT and Edge/Fog Computing 9
- Wireless Networks and Protocols 5
-
- Internet Traffic Analysis and Secure E-voting 16
- Co-authors
- Pan Wang (9 shared papers)Xuejiao Chen (8 shared papers)Yi Qian (12 shared papers)Xili Wan (7 shared papers)Guangwei Bai (2 shared papers)Wentian Zhao (1 shared paper)Fuhao Li (8 shared papers)Zixuan Wang (1 shared paper)
- Journals
- IEEE Access (4 papers)IEEE Transactions on Vehicular Technology (2 papers)IEEE Network (2 papers)IEEE Transactions on Green Communications and Networking (1 paper)AIP Advances (1 paper)
- Partner nations
- United StatesChinaIndonesia
In The Last Decade
Feng Ye
62 papers receiving 893 citations
Peers
Comparison fields: 5 of 89
- Computer Networks and Communications 545
- Signal Processing 194
- Artificial Intelligence 461
- Building and Construction 91
- Transportation 43
Countries citing papers authored by Feng Ye
This map shows the geographic impact of Feng Ye'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 Feng Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ye more than expected).
Fields of papers citing papers by Feng Ye
This network shows the impact of papers produced by Feng Ye. 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 Feng Ye. The network helps show where Feng Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ye, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 173 | |
| 2 | 2019 | 160 | |
| 3 | 2019 | 116 | |
| 4 | 2018 | 44 | |
| 5 | 2021 | 40 | |
| 6 | 2020 | 37 | |
| 7 | 2022 | 37 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2023 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2020 | 13 | |
| 14 | 2018 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2023 | 9 |
About Feng Ye
Feng Ye is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 70 papers that have together received 917 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (17 papers), Internet Traffic Analysis and Secure E-voting (16 papers), IoT and Edge/Fog Computing (9 papers), Advanced Malware Detection Techniques (8 papers), Advanced MIMO Systems Optimization (7 papers), Wireless Networks and Protocols (5 papers), Energy Harvesting in Wireless Networks (5 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Computer Networks and Communications (545 citations), Signal Processing (194 citations), Artificial Intelligence (461 citations), Building and Construction (91 citations) and Transportation (43 citations). Feng Ye has collaborated with scholars based in United States, China and Indonesia. Frequent co-authors include Pan Wang, Xuejiao Chen, Yi Qian, Xili Wan, Guangwei Bai, Wentian Zhao, Fuhao Li, Zixuan Wang, Michel Kadoch and Wei Fang. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology, IEEE Network, IEEE Transactions on Green Communications and Networking and AIP Advances.
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.