Khalid A. Alattas

1.4k total citations
63 papers, 957 citations indexed

About

Khalid A. Alattas is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Khalid A. Alattas has authored 63 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 21 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Khalid A. Alattas's work include Adaptive Control of Nonlinear Systems (23 papers), Fuzzy Logic and Control Systems (12 papers) and Neural Networks and Applications (11 papers). Khalid A. Alattas is often cited by papers focused on Adaptive Control of Nonlinear Systems (23 papers), Fuzzy Logic and Control Systems (12 papers) and Neural Networks and Applications (11 papers). Khalid A. Alattas collaborates with scholars based in Saudi Arabia, Taiwan and China. Khalid A. Alattas's co-authors include Saleh Mobayen, Ardashir Mohammadzadeh, Mai The Vu, Omid Mofid, Fayez F. M. El-Sousy, Yassine Bouteraa, Chunwei Zhang, Afef Fekih, Wudhichai Assawinchaichote and ‏Abdullah K. Alanazi and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Khalid A. Alattas

54 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalid A. Alattas Saudi Arabia 19 541 185 144 136 116 63 957
Jaime Pacheco Mexico 19 521 1.0× 273 1.5× 148 1.0× 102 0.8× 65 0.6× 59 963
Ankush Chakrabarty United States 20 611 1.1× 175 0.9× 104 0.7× 115 0.8× 42 0.4× 101 1.2k
Sehraneh Ghaemi Iran 19 467 0.9× 302 1.6× 208 1.4× 245 1.8× 57 0.5× 70 969
Goran Banjac Switzerland 10 460 0.9× 112 0.6× 131 0.9× 79 0.6× 97 0.8× 37 996
Saeed Balochian Iran 17 504 0.9× 175 0.9× 105 0.7× 159 1.2× 31 0.3× 77 964
Lukas Hewing Switzerland 11 1.2k 2.2× 263 1.4× 99 0.7× 43 0.3× 79 0.7× 17 1.6k
Zhi‐gang Su China 19 529 1.0× 277 1.5× 120 0.8× 61 0.4× 46 0.4× 71 975
Elena‐Lorena Hedrea Romania 11 308 0.6× 194 1.0× 75 0.5× 87 0.6× 38 0.3× 41 625
Kun Li China 18 205 0.4× 163 0.9× 111 0.8× 135 1.0× 156 1.3× 53 870

Countries citing papers authored by Khalid A. Alattas

Since Specialization
Citations

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

Fields of papers citing papers by Khalid A. Alattas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid A. Alattas. 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 Khalid A. Alattas. The network helps show where Khalid A. Alattas may publish in the future.

Co-authorship network of co-authors of Khalid A. Alattas

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid A. Alattas. A scholar is included among the top collaborators of Khalid A. Alattas 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 Khalid A. Alattas. Khalid A. Alattas 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.
Mohammadzadeh, Ardashir, et al.. (2025). Cybersecurity in maritime power systems: A comprehensive review of cyber threats and mitigation techniques. Electric Power Systems Research. 247. 111797–111797. 1 indexed citations
2.
Su, Long, et al.. (2025). A novel fuzzy reinforcement learning approach for personalization deep brain stimulation with communication delay. Biomedical Signal Processing and Control. 106. 107736–107736. 3 indexed citations
3.
Liang, Yongchao, et al.. (2025). Type-3 Fuzzy Data-Driven Control of Heterogeneous Multi-Agent Systems. IEEE Access. 13. 32306–32319.
4.
Yu, Ping, Ding Yang, Khalid A. Alattas, Ardashir Mohammadzadeh, & Afef Fekih. (2025). An Observer-Based Event Triggered Mechanism for the Detection and Mitigation of FDI Attacks in Deep Brain Stimulation Systems. IEEE Access. 13. 14186–14198.
5.
6.
Alattas, Khalid A., et al.. (2024). Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring. IEEE Access. 12. 83994–84004. 8 indexed citations
7.
Alattas, Khalid A., et al.. (2024). Smart Neurostimulation: Sensor-Based Wireless Stimulation With Deep On-Policy MPC. IEEE Access. 12. 140009–140020. 1 indexed citations
8.
Tian, Man‐Wen, Khalid A. Alattas, Wei Guo, et al.. (2023). A strong secure path planning/following system based on type-3 fuzzy control, multi-switching chaotic systems, and random switching topology. Complex & Intelligent Systems. 10(2). 1997–2012. 7 indexed citations
9.
Golestani, Mehdi, Khalid A. Alattas, Sami ud Din, et al.. (2022). A Simple Structure Constrained Attitude Control for Rigid Bodies: A PD-Type Control. IEEE Access. 10. 10202–10209. 7 indexed citations
10.
Vu, Mai The, Khalid A. Alattas, Yassine Bouteraa, et al.. (2022). Optimized Fuzzy Enhanced Robust Control Design for a Stewart Parallel Robot. Mathematics. 10(11). 1917–1917. 23 indexed citations
11.
Alattas, Khalid A., Mai The Vu, Omid Mofid, et al.. (2022). Adaptive Nonsingular Terminal Sliding Mode Control for Performance Improvement of Perturbed Nonlinear Systems. Mathematics. 10(7). 1064–1064. 30 indexed citations
12.
Tian, Man‐Wen, Shu‐Rong Yan, Jinping Liu, et al.. (2022). A New Type-3 Fuzzy Logic Approach for Chaotic Systems: Robust Learning Algorithm. Mathematics. 10(15). 2594–2594. 20 indexed citations
13.
Alattas, Khalid A., Mohsen Bakouri, ‏Abdullah K. Alanazi, et al.. (2022). A Type-2 Fuzzy Controller for Floating Tension-Leg Platforms in Wind Turbines. Energies. 15(5). 1705–1705. 15 indexed citations
14.
El-Sousy, Fayez F. M., Khalid A. Alattas, Omid Mofid, Saleh Mobayen, & Afef Fekih. (2022). Robust Adaptive Super-Twisting Sliding Mode Stability Control of Underactuated Rotational Inverted Pendulum With Experimental Validation. IEEE Access. 10. 100857–100866. 10 indexed citations
15.
Golestani, Mehdi, Khalid A. Alattas, Sami ud Din, et al.. (2022). A Low-Complexity PD-Like Attitude Control for Spacecraft With Full-State Constraints. IEEE Access. 10. 30707–30715. 6 indexed citations
16.
Mobayen, Saleh, Khalid A. Alattas, Afef Fekih, Fayez F. M. El-Sousy, & Mohsen Bakouri. (2022). Barrier function-based adaptive nonsingular sliding mode control of disturbed nonlinear systems: A linear matrix inequality approach. Chaos Solitons & Fractals. 157. 111918–111918. 31 indexed citations
17.
Alattas, Khalid A., Mai The Vu, Omid Mofid, et al.. (2022). Barrier Function-Based Nonsingular Finite-Time Tracker for Quadrotor UAVs Subject to Uncertainties and Input Constraints. Mathematics. 10(10). 1659–1659. 33 indexed citations
18.
19.
Alattas, Khalid A., Saleh Mobayen, Wudhichai Assawinchaichote, et al.. (2021). A Lyapunov-Based Optimal Integral Finite-Time Tracking Control Approach for Asymmetric Nonholonomic Robotic Systems. Symmetry. 13(12). 2367–2367. 3 indexed citations
20.
Sabzalian, Mohammad Hosein, Khalid A. Alattas, Maurício Aredes, et al.. (2021). A New Immersion and Invariance Control and Stable Deep Learning Fuzzy Approach for Power/Voltage Control Problem. IEEE Access. 10. 68–81. 6 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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