Shahbaz Rezaei
Impact in
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- Network Security and Intrusion Detection
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Mobile Ad Hoc Networks 5
- Wireless Networks and Protocols 3
- Cooperative Communication and Network Coding 2
- Network Security and Intrusion Detection 2
- Energy Efficient Wireless Sensor Networks 2
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- Adversarial Robustness in Machine Learning 3
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Xin Liu (6 shared papers)M. Gharib (3 shared papers)Ali Movaghar (3 shared papers)Jeong‐Hoon Kim (2 shared papers)Guiyan Yang (1 shared paper)Beatriz Martínez‐López (2 shared papers)Xin Liu (1 shared paper)Yu‐Jui Yvonne Wan (1 shared paper)
- Journals
- Nutrients (1 paper)IEEE Transactions on Communications (1 paper)Computer Networks (1 paper)Frontiers in Veterinary Science (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesIranChina
In The Last Decade
Shahbaz Rezaei
16 papers receiving 574 citations
Shahbaz Rezaei's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 451
- Signal Processing 186
- Artificial Intelligence 488
- Information Systems 83
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Shahbaz Rezaei
This map shows the geographic impact of Shahbaz Rezaei'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 Shahbaz Rezaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahbaz Rezaei more than expected).
Fields of papers citing papers by Shahbaz Rezaei
This network shows the impact of papers produced by Shahbaz Rezaei. 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 Shahbaz Rezaei. The network helps show where Shahbaz Rezaei may publish in the future.
Co-authors
The 20 scholars most cited alongside Shahbaz Rezaei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for Encrypted Traffic Classification: An Overview Hit paper breakdown → | 2019 | 420 |
| 2 | 2019 | 77 | |
| 3 | 2021 | 38 | |
| 4 | 2018 | 12 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 3 | |
| 14 | Towards the Infeasibility of Membership Inference on Deep Models | 2020 | 2 |
| 15 | 2024 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2025 | 0 |
About Shahbaz Rezaei
Shahbaz Rezaei is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Microbiology and Electrical and Electronic Engineering, having authored 17 papers that have together received 596 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (5 papers), Adversarial Robustness in Machine Learning (3 papers), Wireless Networks and Protocols (3 papers), Cooperative Communication and Network Coding (2 papers), Microbial infections and disease research (2 papers), Network Security and Intrusion Detection (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (451 citations), Signal Processing (186 citations), Artificial Intelligence (488 citations), Information Systems (83 citations) and Computer Vision and Pattern Recognition (62 citations). Shahbaz Rezaei has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Xin Liu, M. Gharib, Ali Movaghar, Jeong‐Hoon Kim, Guiyan Yang, Beatriz Martínez‐López, Xin Liu, Yu‐Jui Yvonne Wan, Kyuyoung Lee and Xin Liu. Their work appears in journals such as Nutrients, IEEE Transactions on Communications, Computer Networks, Frontiers in Veterinary Science and IEEE Access.
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.