Belal Al‐Khateeb

1.1k total citations
66 papers, 743 citations indexed

About

Belal Al‐Khateeb is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Belal Al‐Khateeb has authored 66 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Belal Al‐Khateeb's work include Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Artificial Intelligence in Games (8 papers). Belal Al‐Khateeb is often cited by papers focused on Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Artificial Intelligence in Games (8 papers). Belal Al‐Khateeb collaborates with scholars based in Iraq, United Kingdom and Malaysia. Belal Al‐Khateeb's co-authors include Mazin Abed Mohammed, Dheyaa Ahmed Ibrahim, Salama A. Mostafa, Mohd Khanapi Abd Ghani, Ahmed Noori Rashid, Graham Kendall, Sufyan Al-Janabi, Begonya García-Zapirain, Karrar Hameed Abdulkareem and Dac‐Nhuong Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Belal Al‐Khateeb

53 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Belal Al‐Khateeb Iraq 15 396 175 119 90 73 66 743
Habib Dhahri Saudi Arabia 17 383 1.0× 92 0.5× 97 0.8× 94 1.0× 77 1.1× 46 675
H. Khanna Nehemiah India 18 415 1.0× 192 1.1× 136 1.1× 120 1.3× 77 1.1× 52 945
Marwa Obayya Saudi Arabia 15 283 0.7× 191 1.1× 172 1.4× 62 0.7× 40 0.5× 78 725
Fawaz Waselallah Alsaade Saudi Arabia 14 245 0.6× 95 0.5× 106 0.9× 108 1.2× 59 0.8× 51 822
Biswajit Purkayastha India 16 507 1.3× 106 0.6× 116 1.0× 55 0.6× 126 1.7× 68 849
Mohamed K. Nour Saudi Arabia 14 205 0.5× 104 0.6× 149 1.3× 64 0.7× 48 0.7× 66 573
Ashima Singh India 20 227 0.6× 110 0.6× 130 1.1× 114 1.3× 64 0.9× 57 778
Musatafa Abbas Abbood Albadr Malaysia 17 508 1.3× 125 0.7× 167 1.4× 75 0.8× 75 1.0× 34 844
Haya Alaskar Saudi Arabia 15 192 0.5× 85 0.5× 109 0.9× 108 1.2× 49 0.7× 36 676
Hanaa Salem Egypt 15 344 0.9× 107 0.6× 95 0.8× 86 1.0× 41 0.6× 40 872

Countries citing papers authored by Belal Al‐Khateeb

Since Specialization
Citations

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

Fields of papers citing papers by Belal Al‐Khateeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Belal Al‐Khateeb. 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 Belal Al‐Khateeb. The network helps show where Belal Al‐Khateeb may publish in the future.

Co-authorship network of co-authors of Belal Al‐Khateeb

This figure shows the co-authorship network connecting the top 25 collaborators of Belal Al‐Khateeb. A scholar is included among the top collaborators of Belal Al‐Khateeb 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 Belal Al‐Khateeb. Belal Al‐Khateeb 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.
Al‐Khateeb, Belal, et al.. (2025). Double Dual Convolutional Neural Network (D2CNN): A Deep Learning Model Based on Feature Extraction for Skin Cancer Classification. Iraqi Journal for Computer Science and Mathematics. 6(1).
2.
Al‐Khateeb, Belal, et al.. (2025). Emotion recognition in EEG Signals: Deep and machine learning approaches, challenges, and future directions. Computers in Biology and Medicine. 196(Pt A). 110713–110713. 2 indexed citations
3.
Al‐Khateeb, Belal, et al.. (2025). CNN-EWC: A continuous deep learning approach for lung cancer classification. Journal of Intelligent Systems. 34(1).
4.
Al‐Khateeb, Belal, et al.. (2024). Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm. Journal of Intelligent Systems. 33(1).
5.
Al‐Khateeb, Belal, et al.. (2024). A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification. IEEE Access. 12. 65660–65671. 3 indexed citations
6.
Al‐Khateeb, Belal, et al.. (2024). Quantum Deep Learning: A Review. Iraqi Journal of Science. 4588–4605. 2 indexed citations
7.
Al‐Khateeb, Belal, et al.. (2024). The Selection of Best Open Source Integrated Library Management Software: A Review. Iraqi Journal of Science. 3993–4007.
8.
Al‐Khateeb, Belal, et al.. (2024). Dual Convolutional Neural Network for Skin Cancer Classification. 15(2). 35–42.
9.
Al‐Khateeb, Belal, et al.. (2023). A transfer learning approach for the classification of liver cancer. Journal of Intelligent Systems. 32(1).
10.
Al‐Khateeb, Belal, et al.. (2023). PREDICTING MEDICINE DEMAND USING DEEP LEARNING TECHNIQUES. 49(2). 20–27.
11.
Al‐Khateeb, Belal, et al.. (2023). Extensive Review of State-of-the-Art Classification Techniques for Cuneiform Symbol Imaging: Open Issues and Challenges. SHILAP Revista de lepidopterología. 116–135. 1 indexed citations
12.
Al‐Khateeb, Belal, et al.. (2023). Classifying cuneiform symbols using machine learning algorithms with unigram features on a balanced dataset. Journal of Intelligent Systems. 32(1). 8 indexed citations
13.
Al‐Khateeb, Belal, et al.. (2023). Incorporating a Novel Dual Transfer Learning Approach for Medical Images. Sensors. 23(2). 570–570. 42 indexed citations
14.
Al‐Khateeb, Belal, et al.. (2023). Predicting medicine demand using deep learning techniques: A review. Journal of Intelligent Systems. 32(1). 5 indexed citations
15.
Mohammed, Mazin Abed, Belal Al‐Khateeb, Salama A. Mostafa, et al.. (2022). Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model. Computational Intelligence and Neuroscience. 2022. 1–22. 32 indexed citations
16.
Al‐Khateeb, Belal, et al.. (2022). An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges. Journal of Intelligent Systems. 31(1). 1085–1111. 32 indexed citations
17.
Al‐Khateeb, Belal, et al.. (2020). Solving Competitive Traveling Salesman Problem Using Gray Wolf Optimization Algorithm. Periodicals of Engineering and Natural Sciences (PEN). 8(3). 1331–1344. 3 indexed citations
18.
Al-Janabi, Sufyan, et al.. (2019). Image Retrieval using Neural Network based Hash Encoding: A Survey. SSRN Electronic Journal. 1 indexed citations
19.
Mohammed, Mazin Abed, Belal Al‐Khateeb, Ahmed Noori Rashid, et al.. (2018). Neural network and multi-fractal dimension features for breast cancer classification from ultrasound images. Computers & Electrical Engineering. 70. 871–882. 147 indexed citations
20.
Al‐Khateeb, Belal. (2012). An evolutionary tic-tac-toe player. International Journal of Reasoning-based Intelligent Systems. 4(4). 182–182.

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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