Mee Hong Ling

514 total citations
18 papers, 356 citations indexed

About

Mee Hong Ling is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Mee Hong Ling has authored 18 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 3 papers in Signal Processing. Recurrent topics in Mee Hong Ling's work include Wireless Communication Security Techniques (8 papers), Cognitive Radio Networks and Spectrum Sensing (8 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Mee Hong Ling is often cited by papers focused on Wireless Communication Security Techniques (8 papers), Cognitive Radio Networks and Spectrum Sensing (8 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Mee Hong Ling collaborates with scholars based in Malaysia, United Kingdom and Pakistan. Mee Hong Ling's co-authors include Kok‐Lim Alvin Yau, Junaid Qadir, Yeh-Ching Low, Geong Sen Poh, Qiang Ni, Muhammad Ali Imran, Celimuge Wu, Yung-Wey Chong, Muhammad Fahad Khan and Hock Guan Goh and has published in prestigious journals such as IEEE Access, Sensors and Applied Soft Computing.

In The Last Decade

Mee Hong Ling

17 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mee Hong Ling Malaysia 9 168 104 89 65 46 18 356
Ibrahim Abualhaol Canada 13 247 1.5× 274 2.6× 65 0.7× 56 0.9× 68 1.5× 45 531
Ahmed Lbath France 10 88 0.5× 60 0.6× 20 0.2× 24 0.4× 61 1.3× 38 334
Manuel Álvarez-Campana Spain 8 135 0.8× 87 0.8× 32 0.4× 20 0.3× 61 1.3× 23 273
Henry Xue Canada 6 42 0.3× 65 0.6× 62 0.7× 21 0.3× 40 0.9× 14 426
Nasser Albogami Saudi Arabia 6 179 1.1× 72 0.7× 15 0.2× 28 0.4× 109 2.4× 12 406
Aleksandar Antonić Croatia 10 278 1.7× 122 1.2× 16 0.2× 40 0.6× 90 2.0× 23 505
Adel Aneiba United Kingdom 13 223 1.3× 105 1.0× 23 0.3× 21 0.3× 71 1.5× 35 409
Sehrish Malik South Korea 12 118 0.7× 94 0.9× 53 0.6× 13 0.2× 53 1.2× 23 356
Ferry Pramudianto Germany 11 189 1.1× 158 1.5× 38 0.4× 13 0.2× 55 1.2× 25 417
P. Ajay India 14 144 0.9× 83 0.8× 41 0.5× 19 0.3× 103 2.2× 27 476

Countries citing papers authored by Mee Hong Ling

Since Specialization
Citations

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

Fields of papers citing papers by Mee Hong Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mee Hong Ling. 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 Mee Hong Ling. The network helps show where Mee Hong Ling may publish in the future.

Co-authorship network of co-authors of Mee Hong Ling

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

All Works

18 of 18 papers shown
1.
2.
Ling, Mee Hong, et al.. (2024). A brief survey of deep learning methods for android Malware detection. International Journal of Systems Assurance Engineering and Management. 16(2). 711–733. 2 indexed citations
3.
Ling, Mee Hong, et al.. (2023). Dynamic Android Malware Detection Using Temporal Convolutional Networks. 317–322. 2 indexed citations
4.
Yau, Kok‐Lim Alvin, et al.. (2022). A Hybrid Route Selection Scheme for 5G Network Scenarios: An Experimental Approach. Sensors. 22(16). 6021–6021. 1 indexed citations
5.
Tahir, Mohammad, et al.. (2022). Performance Analysis of Federated Learning in wireless networks. 68–73. 1 indexed citations
6.
Khan, Muhammad Fahad, Kok‐Lim Alvin Yau, Mee Hong Ling, Muhammad Ali Imran, & Yung-Wey Chong. (2022). An Intelligent Cluster-Based Routing Scheme in 5G Flying Ad Hoc Networks. Applied Sciences. 12(7). 3665–3665. 25 indexed citations
7.
8.
Yau, Kok‐Lim Alvin, et al.. (2020). Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology. IEEE Access. 8. 83387–83404. 122 indexed citations
9.
Yau, Kok‐Lim Alvin, et al.. (2020). Trust and Reputation Management for Securing Collaboration in 5G Access Networks: The Road Ahead. IEEE Access. 8. 62542–62560. 12 indexed citations
10.
11.
Ling, Mee Hong, Kok‐Lim Alvin Yau, Junaid Qadir, & Qiang Ni. (2018). A Reinforcement Learning-Based Trust Model for Cluster Size Adjustment Scheme in Distributed Cognitive Radio Networks. IEEE Transactions on Cognitive Communications and Networking. 5(1). 28–43. 26 indexed citations
12.
Yau, Kok‐Lim Alvin, Junaid Qadir, Celimuge Wu, Muhammad Ali Imran, & Mee Hong Ling. (2018). Cognition-Inspired 5G Cellular Networks: A Review and the Road Ahead. IEEE Access. 6. 35072–35090. 47 indexed citations
13.
Yau, Kok‐Lim Alvin, et al.. (2018). A Security-Enhanced Cluster Size Adjustment Scheme for Cognitive Radio Networks. IEEE Access. 7. 117–130. 6 indexed citations
14.
Yau, Kok‐Lim Alvin, et al.. (2016). Greater Kuala Lumpur as a smart city: A case study on technology opportunities. 96–101. 18 indexed citations
15.
Ling, Mee Hong, Kok‐Lim Alvin Yau, Junaid Qadir, Geong Sen Poh, & Qiang Ni. (2015). Application of reinforcement learning for security enhancement in cognitive radio networks. Applied Soft Computing. 37. 809–829. 36 indexed citations
16.
Ling, Mee Hong & Kok‐Lim Alvin Yau. (2014). Reinforcement learning-based trust and reputation model for cluster head selection in cognitive radio networks. 256–261. 6 indexed citations
17.
Ling, Mee Hong, Kok‐Lim Alvin Yau, & Geong Sen Poh. (2013). Trust and reputation management in cognitive radio networks: a survey. Security and Communication Networks. 7(11). 2160–2179. 20 indexed citations
18.
Ling, Mee Hong & Kok‐Lim Alvin Yau. (2013). Reinforcement Learning-Based Trust and Reputation Model for Spectrum Leasing in Cognitive Radio Networks. 20. 1–6. 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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2026