Miad Faezipour

4.4k total citations · 1 hit paper
145 papers, 3.0k citations indexed

About

Miad Faezipour is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Miad Faezipour has authored 145 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 30 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Miad Faezipour's work include EEG and Brain-Computer Interfaces (28 papers), Network Security and Intrusion Detection (18 papers) and ECG Monitoring and Analysis (15 papers). Miad Faezipour is often cited by papers focused on EEG and Brain-Computer Interfaces (28 papers), Network Security and Intrusion Detection (18 papers) and ECG Monitoring and Analysis (15 papers). Miad Faezipour collaborates with scholars based in United States, China and Iran. Miad Faezipour's co-authors include Abdelshakour Abuzneid, Khaled Elleithy, Khald A. I. Aboalayon, Mehrdad Nourani, Ali Alessa, Omar Abuzaghleh, Amer Al‐Rahayfeh, Buket D. Barkana, Razan Abdulhammed and Laiali Almazaydeh and has published in prestigious journals such as PLoS ONE, Communications of the ACM and IEEE Access.

In The Last Decade

Miad Faezipour

133 papers receiving 2.9k citations

Hit Papers

Features Dimensionality R... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miad Faezipour United States 28 775 763 639 624 438 145 3.0k
N. Arunkumar India 37 993 1.3× 1.2k 1.5× 741 1.2× 504 0.8× 493 1.1× 109 5.0k
Wanqing Wu China 35 734 0.9× 362 0.5× 566 0.9× 696 1.1× 156 0.4× 164 3.8k
Yuan Zhang China 25 358 0.5× 822 1.1× 318 0.5× 726 1.2× 267 0.6× 180 2.8k
Khaled Elleithy United States 31 513 0.7× 449 0.6× 722 1.1× 296 0.5× 307 0.7× 244 3.0k
Kristof Van Laerhoven Germany 30 534 0.7× 578 0.8× 574 0.9× 988 1.6× 266 0.6× 172 3.5k
Dimitris Koutsouris Greece 27 361 0.5× 713 0.9× 306 0.5× 505 0.8× 289 0.7× 269 3.3k
Attila Reiss Germany 18 713 0.9× 372 0.5× 346 0.5× 876 1.4× 294 0.7× 32 2.7k
Enas Abdulhay Jordan 22 316 0.4× 772 1.0× 256 0.4× 313 0.5× 242 0.6× 49 2.1k
Mehrdad Nourani United States 32 320 0.4× 655 0.9× 521 0.8× 727 1.2× 200 0.5× 245 3.7k
Chao Wu China 21 516 0.7× 980 1.3× 175 0.3× 199 0.3× 285 0.7× 97 2.4k

Countries citing papers authored by Miad Faezipour

Since Specialization
Citations

This map shows the geographic impact of Miad Faezipour'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 Miad Faezipour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miad Faezipour more than expected).

Fields of papers citing papers by Miad Faezipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miad Faezipour. 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 Miad Faezipour. The network helps show where Miad Faezipour may publish in the future.

Co-authorship network of co-authors of Miad Faezipour

This figure shows the co-authorship network connecting the top 25 collaborators of Miad Faezipour. A scholar is included among the top collaborators of Miad Faezipour 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 Miad Faezipour. Miad Faezipour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rahman, Md. Motiur, et al.. (2025). A Systematic Review on Advancement of Image Segmentation Techniques for Fault Detection Opportunities and Challenges. Electronics. 14(5). 974–974. 4 indexed citations
2.
Rahman, Md. Motiur, et al.. (2025). Text-Assisted Vision Model for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 29(11). 8199–8212. 1 indexed citations
3.
Rahman, Md. Motiur, et al.. (2024). A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions. Future Internet. 16(4). 139–139. 8 indexed citations
4.
Faezipour, Miad, et al.. (2024). EEG Motor Imagery Classification by Feature Extracted Deep 1D-CNN and Semi-Deep Fine-Tuning. IEEE Access. 12. 111265–111279. 3 indexed citations
5.
Asunda, Paul A., et al.. (2023). Embracing Computational Thinking as an Impetus for Artificial Intelligence in Integrated STEM Disciplines through Engineering and Technology Education . Journal of Technology Education. 34(2). 43–63. 6 indexed citations
6.
Tokgöz, Emre, Hassan Musafer, Miad Faezipour, & Ausif Mahmood. (2023). Incorporating Derivative-Free Convexity with Trigonometric Simplex Designs for Learning-Rate Estimation of Stochastic Gradient-Descent Method. Electronics. 12(2). 419–419. 1 indexed citations
7.
Faezipour, Miad, et al.. (2023). Attention-Based CNN Model for Burn Severity Assessment. 9. 1–4. 1 indexed citations
8.
Jiang, Le, et al.. (2023). Toward a Smart Sensing System to Monitor Small Animal's Physical State via Multi-Frequency Resonator Array. IEEE Transactions on Biomedical Circuits and Systems. 17(3). 521–533. 3 indexed citations
9.
Faezipour, Miad, et al.. (2023). Resiliency and Risk Assessment of Smart Vision-Based Skin Screening Applications with Dynamics Modeling. Sustainability. 15(18). 13832–13832.
10.
Rahman, Md. Motiur, et al.. (2023). Abnormality Detection in Lung Sounds Using Feature Augmentation. 2690–2691. 1 indexed citations
11.
Hosseini, Mohammad Javad, et al.. (2022). An organic synaptic circuit: toward flexible and biocompatible organic neuromorphic processing. Neuromorphic Computing and Engineering. 2(3). 34009–34009. 8 indexed citations
12.
Faezipour, Miad, et al.. (2020). Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps. Sustainability. 12(12). 5061–5061. 15 indexed citations
13.
Abdulhammed, Razan, Hassan Musafer, Ali Alessa, Miad Faezipour, & Abdelshakour Abuzneid. (2019). Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection. Electronics. 8(3). 322–322. 230 indexed citations breakdown →
14.
Abdulhammed, Razan, Hassan Musafer, Ali Alessa, Miad Faezipour, & Abdelshakour Abuzneid. (2018). Machine Learning Approaches for Flow-Based Intrusion Detection Systems. University of Bridgeport ScholarWorks (University of Bridgeport). 2 indexed citations
15.
Faezipour, Miad, et al.. (2017). Denoising and Beat Detection of ECG Signal by Using FPGA. International Journal of High Speed Electronics and Systems. 26(3). 1740016–1740016. 7 indexed citations
16.
Abuzaghleh, Omar, Miad Faezipour, & Buket D. Barkana. (2016). A Portable Real-Time Noninvasice Skin Lesion Analysis System to Assist in Melanoma Early Detection and Prevention. University of Bridgeport ScholarWorks (University of Bridgeport). 2 indexed citations
17.
Faezipour, Miad, et al.. (2014). Breathing Movement Classification using MFCCs. University of Bridgeport ScholarWorks (University of Bridgeport). 1 indexed citations
18.
Almazaydeh, Laiali, Khaled Elleithy, & Miad Faezipour. (2014). A New Model for Diagnosing Sleep Apnea through Features Extraction of the SpO2 Signal. University of Bridgeport ScholarWorks (University of Bridgeport). 1 indexed citations
19.
Faezipour, Miad, Mehrdad Nourani, & Sateesh Addepalli. (2010). A Behavioral Analysis Engine for Network Traffic. 1–5. 1 indexed citations
20.
Faezipour, Miad, et al.. (2010). A Patient-Adaptive Profiling Scheme for ECG Beat Classification. IEEE Transactions on Information Technology in Biomedicine. 14(5). 1153–1165. 71 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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