Shady Mohamed

2.6k total citations
110 papers, 1.8k citations indexed

About

Shady Mohamed is a scholar working on Aerospace Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Shady Mohamed has authored 110 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Aerospace Engineering, 27 papers in Control and Systems Engineering and 25 papers in Automotive Engineering. Recurrent topics in Shady Mohamed's work include Aerospace and Aviation Technology (38 papers), Vehicle Dynamics and Control Systems (17 papers) and Human-Automation Interaction and Safety (17 papers). Shady Mohamed is often cited by papers focused on Aerospace and Aviation Technology (38 papers), Vehicle Dynamics and Control Systems (17 papers) and Human-Automation Interaction and Safety (17 papers). Shady Mohamed collaborates with scholars based in Australia, United States and Egypt. Shady Mohamed's co-authors include Saeid Nahavandi, Houshyar Asadi, Chee Peng Lim, Mohammad Reza Chalak Qazani, Arash Mohammadi, Kyle Nelson, Mohammad Rokonuzzaman, Navid Mohajer, Darius Nahavandi and Tobias Bellmann and has published in prestigious journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shady Mohamed

104 papers receiving 1.8k citations

Peers

Shady Mohamed
Houshyar Asadi Australia
Andrew Liu United States
Zhongxu Hu Singapore
Bo Cheng China
Yunyi Jia United States
Houshyar Asadi Australia
Shady Mohamed
Citations per year, relative to Shady Mohamed Shady Mohamed (= 1×) peers Houshyar Asadi

Countries citing papers authored by Shady Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by Shady Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shady Mohamed

This figure shows the co-authorship network connecting the top 25 collaborators of Shady Mohamed. A scholar is included among the top collaborators of Shady Mohamed 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 Shady Mohamed. Shady Mohamed 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.
Jalali, Seyed Mohammad Jafar, et al.. (2025). Cutting‐Edge Deep Learning Methods for Image‐Based Object Detection in Autonomous Driving: In‐Depth Survey. Expert Systems. 42(4). 1 indexed citations
2.
Jalali, Seyed Mohammad Jafar, et al.. (2024). A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation. Knowledge-Based Systems. 296. 111966–111966. 3 indexed citations
3.
Mohamed, Shady, et al.. (2024). Impact of Adopting Lean Principles on Construction Waste in Developing Countries. 53(2). 82–93. 3 indexed citations
4.
Kabir, H M Dipu, Subrota Kumar Mondal, Abbas Khosravi, et al.. (2023). Uncertainty aware neural network from similarity and sensitivity. Applied Soft Computing. 149. 111027–111027. 5 indexed citations
5.
Ghafarian, Mohammadali, et al.. (2023). A Review of Dynamic Vehicular Motion Simulators: Systems and Algorithms. IEEE Access. 11. 36331–36348. 7 indexed citations
6.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Yutao Chen, et al.. (2023). An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9191–9202. 8 indexed citations
7.
Asadi, Houshyar, Tobias Bellmann, Mohammad Reza Chalak Qazani, et al.. (2023). A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators. IEEE Transactions on Vehicular Technology. 72(6). 7024–7034. 14 indexed citations
8.
Sousa‐Sá, Eduarda, Natalie Lander, Darius Nahavandi, et al.. (2023). Physical Education Teachers’ Perceptions of a Motor Competence Assessment Digital App. Journal of Teaching in Physical Education. 43(2). 276–291. 2 indexed citations
9.
Kooijman, Lars, Houshyar Asadi, Shady Mohamed, & Saeid Nahavandi. (2022). Does A Secondary Task Inhibit Vection in Virtual Reality?. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1057–1064. 9 indexed citations
10.
Kooijman, Lars, Houshyar Asadi, Shady Mohamed, & Saeid Nahavandi. (2022). Does the Vividness of Imagination Influence Illusory Self-Motion in Virtual Reality?. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1065–1071. 6 indexed citations
11.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Li Zhang, et al.. (2022). A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23268–23277. 18 indexed citations
12.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Shady Mohamed, Chee Peng Lim, & Saeid Nahavandi. (2021). A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform. IEEE Transactions on Intelligent Transportation Systems. 23(8). 11767–11778. 30 indexed citations
13.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Mehrdad Rostami, et al.. (2021). Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring. IEEE Systems Journal. 16(2). 1945–1953. 36 indexed citations
14.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Chee Peng Lim, Shady Mohamed, & Saeid Nahavandi. (2021). Prediction of Motion Simulator Signals Using Time-Series Neural Networks. IEEE Transactions on Aerospace and Electronic Systems. 57(5). 3383–3392. 34 indexed citations
15.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Shady Mohamed, & Saeid Nahavandi. (2020). Prepositioning of a Land Vehicle Simulation-Based Motion Platform Using Fuzzy Logic and Neural Network. IEEE Transactions on Vehicular Technology. 69(10). 10446–10456. 37 indexed citations
16.
Lander, Natalie, et al.. (2020). Bringing objectivity to motor skill assessment in children. Journal of Sports Sciences. 38(13). 1539–1549. 12 indexed citations
17.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Tobias Bellmann, et al.. (2020). Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints’ Limitations. IEEE Transactions on Vehicular Technology. 69(11). 12547–12558. 43 indexed citations
18.
Qazani, Mohammad Reza Chalak, Houshyar Asadi, Shady Mohamed, & Saeid Nahavandi. (2019). An inverse kinematic- based model predictive motion cueing algorithm for a 6-DoF gantry-tau mechanism. Own your potential (DEAKIN). 1–9. 12 indexed citations
19.
Mohammadi, Arash, Houshyar Asadi, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2016). Future reference prediction in model predictive control based driving simulators. Deakin Research Online (Deakin University). 30 indexed citations
20.
Mohamed, Shady, et al.. (2013). Improved MR Image Quality Using Local Compressed Sensing. 51. 1 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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