Shahbaz Rezaei

1.2k total citations · 1 hit paper
17 papers, 580 citations indexed

About

Shahbaz Rezaei is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shahbaz Rezaei has authored 17 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Shahbaz Rezaei's work include Mobile Ad Hoc Networks (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Wireless Networks and Protocols (3 papers). Shahbaz Rezaei is often cited by papers focused on Mobile Ad Hoc Networks (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Wireless Networks and Protocols (3 papers). Shahbaz Rezaei collaborates with scholars based in United States, Iran and China. Shahbaz Rezaei's co-authors include Xin Liu, Ali Movaghar, M. Gharib, Beatriz Martínez‐López, Jeong‐Hoon Kim, Yu‐Jui Yvonne Wan, Xin Liu, Guiyan Yang, Kyuyoung Lee and Anpeng Huang and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Frontiers in Microbiology.

In The Last Decade

Shahbaz Rezaei

16 papers receiving 557 citations

Hit Papers

Deep Learning for Encrypted Traffic Classification: An Ov... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning for Encrypted Traffic Classification: An Overview
    2019 406 citations Shahbaz Rezaei, Xin Liu IEEE Communications Magazine profile →

Peers

Shahbaz Rezaei
Gerard Draper-Gil Spain
Junzhi Gong United States
Ming Zhu China
Adel Abusitta Canada
Bruhadeshwar Bezawada United States
Rick Hofstede Netherlands
Ran Ben Basat Israel
Jeffrey S. Chavis United States
Zaoxing Liu United States
Gerard Draper-Gil Spain
Shahbaz Rezaei
Citations per year, relative to Shahbaz Rezaei Shahbaz Rezaei (= 1×) peers Gerard Draper-Gil

Countries citing papers authored by Shahbaz Rezaei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shahbaz Rezaei

This figure shows the co-authorship network connecting the top 25 collaborators of Shahbaz Rezaei. A scholar is included among the top collaborators of Shahbaz Rezaei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shahbaz Rezaei. Shahbaz Rezaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Dixon, J. Faye, et al.. (2024). A quantitative analysis of fidgeting in ADHD and its relation to performance and sustained attention on a cognitive task. Frontiers in Psychiatry. 15. 1394096–1394096. 2 indexed citations
3.
Kim, Jeong‐Hoon, Chao Huang, Shahbaz Rezaei, et al.. (2023). Predicting antimicrobial resistance of bacterial pathogens using time series analysis. Frontiers in Microbiology. 14. 1160224–1160224. 7 indexed citations
4.
Yang, Guiyan, et al.. (2023). Uncovering the Gut–Liver Axis Biomarkers for Predicting Metabolic Burden in Mice. Nutrients. 15(15). 3406–3406. 9 indexed citations
5.
Rezaei, Shahbaz, Zubair Shafiq, & Xin Liu. (2023). Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective. 364–381. 4 indexed citations
6.
Rezaei, Shahbaz & Xin Liu. (2021). On the Difficulty of Membership Inference Attacks. 7888–7896. 38 indexed citations
7.
Kim, Jeong‐Hoon, et al.. (2021). Applications of Machine Learning for the Classification of Porcine Reproductive and Respiratory Syndrome Virus Sublineages Using Amino Acid Scores of ORF5 Gene. Frontiers in Veterinary Science. 8. 683134–683134. 5 indexed citations
8.
Entezari‐Maleki, Reza, M. Gharib, Shahbaz Rezaei, Kishor S. Trivedi, & Ali Movaghar. (2020). Modeling and Evaluation of Multi-Hop Wireless Networks Using SRNs. IEEE Transactions on Network Science and Engineering. 8(1). 662–679. 4 indexed citations
9.
Rezaei, Shahbaz & Xin Liu. (2020). Towards the Infeasibility of Membership Inference on Deep Models. arXiv (Cornell University). 1 indexed citations
10.
Gharib, M., et al.. (2020). An area-scalable human-based mobility model. Computer Networks. 177. 107300–107300. 4 indexed citations
11.
Wang, Guangyu, et al.. (2019). An Ambulatory Blood Pressure Monitor Mobile Health System for Early Warning for Stroke Risk: Longitudinal Observational Study. JMIR mhealth and uhealth. 7(10). e14926–e14926. 3 indexed citations
12.
Rezaei, Shahbaz, et al.. (2019). Large-Scale Mobile App Identification Using Deep Learning. IEEE Access. 8. 348–362. 77 indexed citations
13.
Rezaei, Shahbaz & Xin Liu. (2019). Deep Learning for Encrypted Traffic Classification: An Overview. IEEE Communications Magazine. 57(5). 76–81. 406 indexed citations breakdown →
14.
Rezaei, Shahbaz, M. Gharib, & Ali Movaghar. (2018). Throughput Analysis of IEEE 802.11 Multi-Hop Wireless Networks With Routing Consideration: A General Framework. IEEE Transactions on Communications. 66(11). 5430–5443. 12 indexed citations
15.
Rezaei, Shahbaz, et al.. (2017). General study of jitter mechanisms for metric-based wireless routing protocols. AEU - International Journal of Electronics and Communications. 79. 132–140. 3 indexed citations
16.
Rezaei, Shahbaz, et al.. (2017). CMORC: Class-based Multipath On-demand Routing Protocol for Cognitive Radio Networks. Scientia Iranica. 0(0). 0–0. 2 indexed citations
17.
Rezaei, Shahbaz, et al.. (2016). Impact of jitter mechanisms on metric-based wireless routing protocols. 574–578. 3 indexed citations

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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