Abir Hussain

5.2k total citations · 1 hit paper
229 papers, 3.0k citations indexed

About

Abir Hussain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Abir Hussain has authored 229 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 41 papers in Computer Vision and Pattern Recognition and 32 papers in Computer Networks and Communications. Recurrent topics in Abir Hussain's work include Neural Networks and Applications (20 papers), Stock Market Forecasting Methods (14 papers) and Artificial Intelligence in Healthcare (12 papers). Abir Hussain is often cited by papers focused on Neural Networks and Applications (20 papers), Stock Market Forecasting Methods (14 papers) and Artificial Intelligence in Healthcare (12 papers). Abir Hussain collaborates with scholars based in United Kingdom, United Arab Emirates and Iraq. Abir Hussain's co-authors include Dhiya Al‐Jumeily, Panos Liatsis, Paul Fergus, Wasiq Khan, Naeem Radi, Rozaida Ghazali, Haya Alaskar, Hissam Tawfik, Robert Keight and Thar Baker and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Abir Hussain

207 papers receiving 2.9k citations

Hit Papers

An explainable machine le... 2024 2026 2024 10 20 30 40 50
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.

  1. An explainable machine learning approach for Alzheimer’s disease classification
    2024 51 citations Wasiq Khan, Abir Hussain et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abir Hussain United Kingdom 31 874 599 320 299 299 229 3.0k
Piyush Kumar Shukla India 30 842 1.0× 515 0.9× 180 0.6× 587 2.0× 369 1.2× 181 2.8k
Adel Elmaghraby United States 28 1.2k 1.3× 863 1.4× 308 1.0× 479 1.6× 255 0.9× 259 3.6k
Kathiravan Srinivasan India 33 901 1.0× 422 0.7× 233 0.7× 571 1.9× 374 1.3× 171 3.7k
Marko Robnik‐Šikonja Slovenia 17 1.9k 2.1× 835 1.4× 289 0.9× 133 0.4× 455 1.5× 86 4.2k
Rung-Ching Chen Taiwan 30 857 1.0× 979 1.6× 116 0.4× 278 0.9× 311 1.0× 187 3.4k
Ferat Sahin United States 20 1.9k 2.2× 879 1.5× 561 1.8× 543 1.8× 406 1.4× 123 4.9k
Amira S. Ashour Egypt 36 1.1k 1.2× 1.1k 1.8× 563 1.8× 409 1.4× 271 0.9× 165 4.1k
Abeer Alsadoon Australia 26 1.1k 1.2× 688 1.1× 265 0.8× 259 0.9× 427 1.4× 196 2.9k
Giuseppe De Pietro Italy 32 1.7k 1.9× 698 1.2× 445 1.4× 400 1.3× 354 1.2× 211 4.4k
Karrar Hameed Abdulkareem Iraq 37 1.2k 1.4× 568 0.9× 264 0.8× 954 3.2× 703 2.4× 98 4.0k

Countries citing papers authored by Abir Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Abir Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abir Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Abir Hussain. A scholar is included among the top collaborators of Abir Hussain 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 Abir Hussain. Abir Hussain 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.
Hussain, Abir, et al.. (2025). A comprehensive analysis of deception detection techniques leveraging machine learning. Expert Systems with Applications. 283. 127601–127601. 1 indexed citations
2.
Mahmmod, Basheera M., et al.. (2025). Three-Dimensional Object Recognition Using Orthogonal Polynomials: An Embedded Kernel Approach. Algorithms. 18(2). 78–78. 1 indexed citations
3.
Hacid, Hakim, et al.. (2025). On adversarial attack detection in the artificial intelligence era: Fundamentals, a taxonomy, and a review. Intelligent Systems with Applications. 27. 200554–200554.
4.
Shehada, Dina, Hissam Tawfik, Ahmed Bouridane, & Abir Hussain. (2025). An Explainable Framework for Mental Health Monitoring Using Lightweight and Privacy-Preserving Federated Facial Emotion Recognition. Sensors. 25(23). 7320–7320.
5.
Naser, Marwah Abdulrazzaq, Muntadher Alsabah, Sadiq H. Abdulhussain, et al.. (2024). Improving Cardiovascular Prediction Performance Using Machine Learning Based Feature Selection. 48–53. 1 indexed citations
6.
Mahmmod, Basheera M., et al.. (2024). Speech Enhancement: A Review of Various Approaches, Trends, and challenges. 31–36. 1 indexed citations
7.
8.
Abdel‐Raheem, Esam, et al.. (2024). Deep Learning in Automatic Diabetic Retinopathy Detection and Grading Systems: A Comprehensive Survey and Comparison of Methods. IEEE Access. 12. 84785–84802. 27 indexed citations
9.
Alaskar, Haya, Soliman A. Mahmoud, Ayad Turky, et al.. (2024). Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach. IEEE Access. 12. 95091–95105. 6 indexed citations
10.
Waleed, Jumana, et al.. (2024). Intelligent Gesture-Enhanced Blockchain Voting: A New Era of Secure and Accessible E-Voting. IEEE Access. 12. 144055–144068. 2 indexed citations
11.
Alnajjar, Khawla A., et al.. (2023). A survey of artificial intelligence approaches in blind source separation. Neurocomputing. 561. 126895–126895. 16 indexed citations
12.
Khan, Wasiq, et al.. (2023). A diverse and multi-modal gait dataset of indoor and outdoor walks acquired using multiple cameras and sensors. Scientific Data. 10(1). 320–320. 14 indexed citations
13.
Turky, Ayad, Abir Hussain, Anissa M. Bettayeb, & Mohamed Adel Serhani. (2023). Integrating Deep Learning and Ant Colony Optimization for Improved Shortest Route Problem Solving. 45–49. 1 indexed citations
14.
Abbas, Ayad R., et al.. (2023). A Hybrid Artistic Model Using Deepy-Dream Model and Multiple Convolutional Neural Networks Architectures. IEEE Access. 11. 101443–101459. 6 indexed citations
15.
Almajali, Eqab, et al.. (2023). Fracture Detection Using A Wideband Wearable Monopole Antenna Based on Microwave Imaging. 5. 30–34. 1 indexed citations
16.
Mahmmod, Basheera M., et al.. (2023). Dual Stages of Speech Enhancement Algorithm Based on Super Gaussian Speech Models. SHILAP Revista de lepidopterología. 29(9). 1–13. 4 indexed citations
17.
Khalil, Shuker Mahmood, et al.. (2021). Fuzzy Logical Algebra and Study of the Effectiveness of Medications for COVID-19. Mathematics. 9(22). 2838–2838. 11 indexed citations
18.
Abdulhussain, Sadiq H., Abd Rahman Ramli, Abir Hussain, Basheera M. Mahmmod, & Wissam A. Jassim. (2019). Orthogonal polynomial embedded image kernel. 215–221. 27 indexed citations
19.
Fan, Pingzhi, et al.. (2019). A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing. IEEE Access. 7. 160916–160926. 70 indexed citations
20.
Alaskar, Haya & Abir Hussain. (2018). Prediction of Parkinson Disease Using Gait Signals. 23–26. 11 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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