Lukman Audah‏

2.6k total citations
119 papers, 1.5k citations indexed

About

Lukman Audah‏ is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Lukman Audah‏ has authored 119 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Electrical and Electronic Engineering, 72 papers in Computer Networks and Communications and 15 papers in Aerospace Engineering. Recurrent topics in Lukman Audah‏'s work include Advanced MIMO Systems Optimization (27 papers), Vehicular Ad Hoc Networks (VANETs) (19 papers) and Wireless Communication Networks Research (18 papers). Lukman Audah‏ is often cited by papers focused on Advanced MIMO Systems Optimization (27 papers), Vehicular Ad Hoc Networks (VANETs) (19 papers) and Wireless Communication Networks Research (18 papers). Lukman Audah‏ collaborates with scholars based in Malaysia, Iraq and Saudi Arabia. Lukman Audah‏'s co-authors include Mustafa Maad Hamdi, Sami Abduljabbar Rashid, Nor Shahida Mohd Shah, Montadar Abas Taher, Adeeb Salh, Sameer Alani, Nayef Abdulwahab Mohammed Alduais, Shipun Anuar Hamzah‏, Ali Hashim Abbas and Qazwan Abdullah and has published in prestigious journals such as IEEE Access, Sensors and Radio Science.

In The Last Decade

Lukman Audah‏

111 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lukman Audah‏ Malaysia	21	1.1k	772	155	143	106	119	1.5k
José F. Monserrat Spain	18	1.2k 1.1×	798 1.0×	79 0.5×	171 1.2×	103 1.0×	136	1.5k
Gianluca Rizzo Switzerland	12	988 0.9×	882 1.1×	98 0.6×	95 0.7×	124 1.2×	55	1.5k
Francesco Malandrino Italy	23	954 0.9×	977 1.3×	129 0.8×	136 1.0×	140 1.3×	99	1.6k
Απόστολος Κουσαρίδας Germany	16	1.0k 1.0×	730 0.9×	105 0.7×	130 0.9×	143 1.3×	57	1.5k
Lei Feng China	19	742 0.7×	697 0.9×	224 1.4×	162 1.1×	164 1.5×	176	1.3k
Marco Gramaglia Spain	25	947 0.9×	1.4k 1.8×	232 1.5×	55 0.4×	118 1.1×	93	1.9k
Qingyang Song China	25	1.4k 1.3×	1.5k 1.9×	99 0.6×	259 1.8×	126 1.2×	112	2.0k
Tie Luo Singapore	20	480 0.4×	881 1.1×	378 2.4×	99 0.7×	130 1.2×	65	1.6k

Countries citing papers authored by Lukman Audah‏

Since Specialization

Citations

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

Fields of papers citing papers by Lukman Audah‏

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukman Audah‏

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

All Works

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20 of 20 papers shown

Audah‏, Lukman, et al.. (2025). Artificial intelligence performance evaluation for URLLC of industrial IoT applications: A review, open challenges and future directions. Physical Communication. 72. 102712–102712. 2 indexed citations

Alhartomi, Mohammed A., et al.. (2024). Enhancing Sustainable Edge Computing Offloading via Renewable Prediction for Energy Harvesting. IEEE Access. 12. 74011–74023. 8 indexed citations

Audah‏, Lukman, et al.. (2024). Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks. IEEE Access. 12. 70600–70614. 2 indexed citations

Alhartomi, Mohammed A., et al.. (2023). Sustainable Resource Allocation and Reduce Latency Based on Federated-Learning-Enabled Digital Twin in IoT Devices. Sensors. 23(16). 7262–7262. 8 indexed citations

Ngah, Razali, et al.. (2023). Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G. IEEE Access. 11. 16353–16367. 33 indexed citations

Rashid, Sami Abduljabbar, Mustafa Maad Hamdi, Lukman Audah‏, et al.. (2022). A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network. IAES International Journal of Artificial Intelligence. 12(2). 667–667. 1 indexed citations

Ngah, Razali, et al.. (2022). Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network. IEEE Open Journal of the Communications Society. 3. 2245–2257. 8 indexed citations

Salh, Adeeb, Lukman Audah‏, Kwang Soon Kim, et al.. (2022). Refiner GAN Algorithmically Enabled Deep-RL for Guaranteed Traffic Packets in Real-Time URLLC B5G Communication Systems. IEEE Access. 10. 50662–50676. 22 indexed citations

Salh, Adeeb, Lukman Audah‏, Mohammed A. Alhartomi, et al.. (2022). Smart Packet Transmission Scheduling in Cognitive IoT Systems: DDQN Based Approach. IEEE Access. 10. 50023–50036. 25 indexed citations

10.

Audah‏, Lukman, Qazwan Abdullah, Ömer Aydoğdu, et al.. (2021). Low Computational Complexity for Optimizing Energy Efficiency in mm-wave Hybrid Precoding System for 5G. IEEE Access. 10. 4714–4727. 15 indexed citations

11.

Salh, Adeeb, Lukman Audah‏, Nor Shahida Mohd Shah, et al.. (2021). A Survey on Deep Learning for Ultra-Reliable and Low-Latency Communications Challenges on 6G Wireless Systems. IEEE Access. 9. 55098–55131. 83 indexed citations

12.

Audah‏, Lukman, Salama A. Mostafa, Saraswathy Shamini Gunasekaran, et al.. (2020). A New SLM-UFMC Model for Universal Filtered Multi-Carrier to Reduce Cubic Metric and Peak to Average Power Ratio in 5G Technology. Symmetry. 12(6). 909–909. 14 indexed citations

13.

Abbas, Ali Hashim, et al.. (2019). GPS based location monitoring system with geo-fencing capabilities. AIP conference proceedings. 2173. 20014–20014. 19 indexed citations

14.

Audah‏, Lukman, et al.. (2019). Quality of Service Mechanisms in Internet of Things: A Comprehensive Survey. Journal of Advanced Research in Dynamic and Control Systems. 11. 858–875. 4 indexed citations

15.

Salh, Adeeb, Nor Shahida Mohd Shah, Lukman Audah‏, et al.. (2019). Energy-Efficient Power Allocation and Joint User Association in Multiuser-Downlink Massive MIMO System. IEEE Access. 8. 1314–1326. 29 indexed citations

16.

Jawhar, Yasir Amer, Khairun Nidzam Ramli, Montadar Abas Taher, et al.. (2018). Zero-Padding Techniques in OFDM Systems. International Journal on Electrical Engineering and Informatics. 10(4). 704–725. 12 indexed citations

17.

Audah‏, Lukman, et al.. (2017). Simulation Studies of Diffserv Policies for the Internet Traffic. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 33–38. 1 indexed citations

18.

Audah‏, Lukman, et al.. (2017). Vertical farming monitoring system using the internet of things (IoT). AIP conference proceedings. 1883. 20021–20021. 16 indexed citations

19.

Hamzah‏, Shipun Anuar, et al.. (2015). Microstrip-to-parallel strip transition balun integrated with stubs and DGS for 3-D harmonic suppressed dipole antenna. ARPN Journal of Engineering and Applied Sciences. 10(19). 9027–9030. 2 indexed citations

20.

Audah‏, Lukman, Zhili Sun, & Haitham Cruickshank. (2011). QoS evaluation of multiservice applications over integrated satellite-terrestrial networks. Surrey Research Insight Open Access (The University of Surrey). 1–8. 4 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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