Mujaheed Abdullahi

492 total citations · 1 hit paper
14 papers, 257 citations indexed

About

Mujaheed Abdullahi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Mujaheed Abdullahi has authored 14 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 2 papers in Control and Systems Engineering. Recurrent topics in Mujaheed Abdullahi's work include Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Smart Grid Security and Resilience (2 papers). Mujaheed Abdullahi is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Smart Grid Security and Resilience (2 papers). Mujaheed Abdullahi collaborates with scholars based in Malaysia, Nigeria and Saudi Arabia. Mujaheed Abdullahi's co-authors include Said Jadid Abdulkadir, Norshakirah Aziz, Hitham Alhussian, Yahia Baashar, Ayed Alwadain, Luiz Fernando Capretz, Aliza Sarlan, Kamaluddeen Usman Danyaro, Ahmad Sobri Hashim and Abubakar Bala and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Sciences.

In The Last Decade

Mujaheed Abdullahi

13 papers receiving 235 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review

2022 187 citations Mujaheed Abdullahi, Yahia Baashar et al. Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mujaheed Abdullahi Malaysia	7	150	96	87	72	54	14	257
Muhammad Taimoor Khan Pakistan	8	244 1.6×	133 1.4×	126 1.4×	64 0.9×	42 0.8×	12	303
Theodoros Spyridopoulos United Kingdom	9	116 0.8×	79 0.8×	63 0.7×	65 0.9×	34 0.6×	21	196
Raed Alharthi United States	7	231 1.5×	189 2.0×	147 1.7×	72 1.0×	37 0.7×	25	355
Simon D. Duque Antón Germany	9	110 0.7×	65 0.7×	74 0.9×	53 0.7×	26 0.5×	13	170
Takoua Abdellatif Tunisia	9	170 1.1×	133 1.4×	55 0.6×	66 0.9×	27 0.5×	29	257
Erkuden Rios Spain	10	155 1.0×	90 0.9×	51 0.6×	178 2.5×	73 1.4×	31	290
Jason Jaskolka Canada	8	59 0.4×	79 0.8×	52 0.6×	75 1.0×	23 0.4×	47	181
Eider Iturbe Spain	9	129 0.9×	71 0.7×	45 0.5×	123 1.7×	73 1.4×	24	233
Ahsan Nazir China	11	162 1.1×	119 1.2×	114 1.3×	96 1.3×	26 0.5×	23	279
Filipe Caldeira Portugal	8	92 0.6×	61 0.6×	40 0.5×	49 0.7×	41 0.8×	22	189

Countries citing papers authored by Mujaheed Abdullahi

Since Specialization

Citations

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

Fields of papers citing papers by Mujaheed Abdullahi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mujaheed Abdullahi

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

All Works

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14 of 14 papers shown

Bala, Abubakar, Ali H. Muqaibel, Naveed Iqbal, et al.. (2025). Machine learning for drone detection from images: A review of techniques and challenges. Neurocomputing. 635. 129823–129823. 3 indexed citations

Abdullahi, Mujaheed, et al.. (2025). A Systematic Literature Review of Concept Drift Mitigation in Time-Series Applications. IEEE Access. 13. 119380–119410.

Abdullahi, Mujaheed, Hitham Alhussian, Norshakirah Aziz, et al.. (2024). Comparison and Investigation of AI-Based Approaches for Cyberattack Detection in Cyber-Physical Systems. IEEE Access. 12. 31988–32004. 7 indexed citations

Danyaro, Kamaluddeen Usman, et al.. (2024). Evaluation of Classification of Brain Tumors Using Convolutional Neural Network Algorithm. 328–333. 2 indexed citations

Sarlan, Aliza, et al.. (2024). Sentiment Analysis in Low-Resource Settings: A Comprehensive Review of Approaches, Languages, and Data Sources. IEEE Access. 12. 66883–66909. 12 indexed citations

Alhussian, Hitham, et al.. (2024). Unleashing the power of Manta Rays Foraging Optimizer: A novel approach for hyper-parameter optimization in skin cancer classification. Biomedical Signal Processing and Control. 99. 106855–106855. 8 indexed citations

Alhussian, Hitham, Norshakirah Aziz, Said Jadid Abdulkadir, et al.. (2024). The future of skin cancer diagnosis: a comprehensive systematic literature review of machine learning and deep learning models. Cogent Engineering. 11(1). 6 indexed citations

Abdullahi, Mujaheed, et al.. (2023). Enhancing Security of 5G-Enabled IoT Systems through Advanced Authentication Mechanisms: A Multifaceted Approach. 2(4). 201–211. 1 indexed citations

Zahid, Mohd Soperi Mohd, et al.. (2023). Real-Time Detection of Low-Rate DDoS Attacks in SDN-Based Networks Using Online Machine Learning Model. 95–101. 5 indexed citations

10.

Danyaro, Kamaluddeen Usman, et al.. (2022). Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review. Applied Sciences. 12(11). 5690–5690. 7 indexed citations

11.

Abdullahi, Mujaheed, Yahia Baashar, Hitham Alhussian, et al.. (2022). Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review. Electronics. 11(2). 198–198. 187 indexed citations breakdown →

12.

Abdullahi, Mujaheed, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, & Yahia Baashar. (2022). Deep Learning Model for Cybersecurity Attack Detection in Cyber-Physical Systems. 1–5. 8 indexed citations

13.

Hashim, Ahmad Sobri, et al.. (2022). SCIPOG: Seeding and constraint support in IPOG strategy for combinatorial t-way testing to generate optimum test cases. Journal of King Saud University - Computer and Information Sciences. 35(1). 185–201. 8 indexed citations

14.

Abdullahi, Mujaheed, et al.. (2021). Application of Sales Forecasting Model Based on Machine Learning Algorithms.. 205–216. 3 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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