Wael Farag

1.6k total citations
73 papers, 1.1k citations indexed

About

Wael Farag is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Wael Farag has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Automotive Engineering, 22 papers in Computer Vision and Pattern Recognition and 20 papers in Control and Systems Engineering. Recurrent topics in Wael Farag's work include Autonomous Vehicle Technology and Safety (24 papers), Advanced Neural Network Applications (13 papers) and Wind Turbine Control Systems (11 papers). Wael Farag is often cited by papers focused on Autonomous Vehicle Technology and Safety (24 papers), Advanced Neural Network Applications (13 papers) and Wind Turbine Control Systems (11 papers). Wael Farag collaborates with scholars based in Kuwait, Egypt and Canada. Wael Farag's co-authors include Germano Lambert‐Torres, V.H. Quintana, Abdel Latif Elshafei, Mohamed Saad, Muhammad Nadeem, Mohamed Elhelw, Ahmed Kamel, Ahmed Hemeida, K.A. El-Metwally and Magdy Helal and has published in prestigious journals such as Renewable Energy, Fuzzy Sets and Systems and Artificial Intelligence Review.

In The Last Decade

Wael Farag

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wael Farag Kuwait 19 411 381 342 318 271 73 1.1k
Alex Teichman United States 10 481 1.2× 229 0.6× 214 0.6× 190 0.6× 639 2.4× 11 1.3k
Siyu Teng China 12 487 1.2× 232 0.6× 331 1.0× 109 0.3× 406 1.5× 27 1.2k
Soeren Kammel Germany 8 426 1.0× 174 0.5× 209 0.6× 189 0.6× 505 1.9× 13 1.1k
Yuchen Li China 10 403 1.0× 199 0.5× 295 0.9× 98 0.3× 342 1.3× 22 1.0k
Jan Becker Germany 4 411 1.0× 167 0.4× 204 0.6× 173 0.5× 405 1.5× 6 948
Oliver Pink Germany 8 670 1.6× 212 0.6× 248 0.7× 240 0.8× 680 2.5× 10 1.5k
David Stavens United States 8 529 1.3× 227 0.6× 200 0.6× 386 1.2× 686 2.5× 9 1.5k
Johannes Betz Germany 18 623 1.5× 165 0.4× 252 0.7× 177 0.6× 374 1.4× 88 1.1k
Wei Shangguan China 16 319 0.8× 98 0.3× 418 1.2× 215 0.7× 99 0.4× 145 968
Seong-Woo Kim South Korea 19 678 1.6× 105 0.3× 397 1.2× 513 1.6× 289 1.1× 72 1.3k

Countries citing papers authored by Wael Farag

Since Specialization
Citations

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

Fields of papers citing papers by Wael Farag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wael Farag

This figure shows the co-authorship network connecting the top 25 collaborators of Wael Farag. A scholar is included among the top collaborators of Wael Farag 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 Wael Farag. Wael Farag 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.
3.
Farag, Wael & Mohamed Fayed. (2025). Advancing vehicle detection for autonomous driving: integrating computer vision and machine learning techniques for real-world deployment. Journal of Control and Decision. 13(2). 287–304. 1 indexed citations
4.
Nadeem, Muhammad, Wael Farag, Zekeriya Uykan, & Magdy Helal. (2024). Applications of machine learning in operational aspects of academia: a review. International Journal of Evaluation and Research in Education (IJERE). 13(5). 2843–2843. 2 indexed citations
6.
Farag, Wael, et al.. (2024). Ensemble machine learning-based virtual multiphase flow metering in high gas/oil ratio and water-cut reservoirs. Flow Measurement and Instrumentation. 100. 102737–102737. 2 indexed citations
7.
Nadeem, Muhammad, et al.. (2023). Effect of Digital Game-Based Learning on Student Engagement and Motivation. Computers. 12(9). 177–177. 54 indexed citations
8.
Farag, Wael, et al.. (2023). Utilizing Probabilistic Maps and Unscented-Kalman-Filtering-Based Sensor Fusion for Real-Time Monte Carlo Localization. World Electric Vehicle Journal. 15(1). 5–5. 2 indexed citations
9.
Farag, Wael. (2023). Accurate wind energy harvest assessment using a comprehensive ultra-large-wind-turbine emulation. Journal of Engineering Research. 11(3). 123–133. 2 indexed citations
10.
11.
Farag, Wael, et al.. (2022). Low-Cost Active Monitoring of Attendance using Passive RFID Technology. Optimum: Journal of Economics and Development (University of Ahmad Dahlan Yogyakarta). 8(4). 552–552. 4 indexed citations
12.
Farag, Wael. (2021). Lidar and radar fusion for real-time road-objects detection and tracking. Intelligent Decision Technologies. 15(2). 291–304. 11 indexed citations
13.
Farag, Wael. (2021). Real-Time Autonomous Vehicle Localization Based on Particle and Unscented Kalman Filters. Journal of Control Automation and Electrical Systems. 32(2). 309–325. 22 indexed citations
14.
Farag, Wael. (2020). Kalman-filter-based sensor fusion applied to road-objects detection and tracking for autonomous vehicles. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 235(7). 1125–1138. 34 indexed citations
15.
Farag, Wael. (2020). A lightweight vehicle detection and tracking technique for advanced driving assistance systems. Journal of Intelligent & Fuzzy Systems. 39(3). 2693–2710. 19 indexed citations
16.
Farag, Wael, et al.. (2019). Analysis of Various Yaw Control Techniques for Large Wind Turbines. Journal of Engineering Research. 7(3). 215–231. 4 indexed citations
17.
Farag, Wael. (2019). Track Maneuvering using PID Control for Self-driving Cars. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 13(1). 91–100. 8 indexed citations
18.
Farag, Wael, et al.. (2017). A LiDAR-based pitch control strategy for ultra large wind turbines. 451–458. 4 indexed citations
19.
Farag, Wael. (2016). ClimaCon: An Autonomous Energy Efficient Climate Control Solution for Smart Buildings. Asian Journal of Control. 19(4). 1375–1391. 10 indexed citations
20.
Hemeida, Ahmed, et al.. (2013). Design of a Comprehensive 5MW Direct-Driven PMSG Wind Turbine Emulator Using FAST Nonlinear Wind Turbine Model. Journal of Automation and Control Engineering. 2(4). 9 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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