Hamza Kheddar

1.3k total citations · 1 hit paper
42 papers, 560 citations indexed

About

Hamza Kheddar is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hamza Kheddar has authored 42 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hamza Kheddar's work include Network Security and Intrusion Detection (9 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Hamza Kheddar is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Hamza Kheddar collaborates with scholars based in Algeria, United Arab Emirates and United Kingdom. Hamza Kheddar's co-authors include Yassine Himeur, Ali Ismail Awad, Somaya Al-Máadeed, Abbes Amira, David Megías, Ahmed Cherif Mazari, Fayçal Bensaali, Shadi Atalla, Wathiq Mansoor and Noor Almaadeed and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Energy and Buildings.

In The Last Decade

Hamza Kheddar

37 papers receiving 525 citations

Hit Papers

Transformers and large language models for efficient intr... 2025 2026 2025 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamza Kheddar Algeria 12 262 133 125 107 56 42 560
Majed Aborokbah Saudi Arabia 8 180 0.7× 99 0.7× 223 1.8× 72 0.7× 53 0.9× 33 478
Ankit Vidyarthi India 14 244 0.9× 75 0.6× 167 1.3× 199 1.9× 55 1.0× 98 683
Khelchandra Thongam India 12 143 0.5× 90 0.7× 86 0.7× 165 1.5× 17 0.3× 32 389
Cheng Xing China 9 310 1.2× 115 0.9× 232 1.9× 105 1.0× 14 0.3× 17 546
Pramuditha Perera United States 10 461 1.8× 101 0.8× 115 0.9× 222 2.1× 38 0.7× 27 659
Qi Fan China 9 280 1.1× 76 0.6× 77 0.6× 435 4.1× 36 0.6× 27 686
Kadiyala Ramana India 15 187 0.7× 50 0.4× 204 1.6× 91 0.9× 59 1.1× 48 665
M. Z. Rashad Egypt 14 200 0.8× 61 0.5× 91 0.7× 108 1.0× 19 0.3× 56 548
Saad Almutairi Saudi Arabia 15 220 0.8× 135 1.0× 285 2.3× 85 0.8× 57 1.0× 45 752

Countries citing papers authored by Hamza Kheddar

Since Specialization
Citations

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

Fields of papers citing papers by Hamza Kheddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamza Kheddar

This figure shows the co-authorship network connecting the top 25 collaborators of Hamza Kheddar. A scholar is included among the top collaborators of Hamza Kheddar 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 Hamza Kheddar. Hamza Kheddar 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.
Kheddar, Hamza, Yassine Himeur, Adel Belouchrani, et al.. (2025). Advanced deep learning and large language models: Comprehensive insights for cancer detection. Image and Vision Computing. 157. 105495–105495. 7 indexed citations
2.
Kheddar, Hamza, et al.. (2025). Reinforced Residual Encoder–Decoder Network for Image Denoising via Deeper Encoding and Balanced Skip Connections. Big Data and Cognitive Computing. 9(4). 82–82. 3 indexed citations
3.
Kheddar, Hamza, et al.. (2025). Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments. IEEE Access. 13. 35707–35732. 4 indexed citations
4.
Kheddar, Hamza, et al.. (2025). A robust cross-domain IDS using BiGRU-LSTM-attention for medical and industrial IoT security. ICT Express. 4 indexed citations
5.
Kheddar, Hamza, et al.. (2025). Machine learning and transformers for thyroid carcinoma diagnosis. Journal of Visual Communication and Image Representation. 115. 104668–104668. 1 indexed citations
6.
Kheddar, Hamza. (2025). Transformers and large language models for efficient intrusion detection systems: A comprehensive survey. Information Fusion. 124. 103347–103347. 33 indexed citations breakdown →
7.
Kheddar, Hamza, et al.. (2025). A robust framework for noisy speech recognition using Frequency-Guided-Swin Transformer. Computer Speech & Language. 98. 101907–101907.
8.
Oulefki, Adel, Hamza Kheddar, Abbes Amira, et al.. (2025). Innovative AI strategies for enhancing smart building operations through digital twins: A survey. Energy and Buildings. 335. 115567–115567. 7 indexed citations
9.
Kheddar, Hamza, et al.. (2025). Advancing Bearing Fault Diagnosis Using Deep Transfer Learning for Wireless Sensor Networks. Arabian Journal for Science and Engineering. 50(23). 19971–19991.
10.
Kheddar, Hamza, et al.. (2024). Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions. Neurocomputing. 581. 127528–127528. 24 indexed citations
11.
Kheddar, Hamza, et al.. (2024). Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives. IEEE Access. 12. 119015–119038. 10 indexed citations
12.
Sohail, Shahab Saquib, Yassine Himeur, Hamza Kheddar, et al.. (2024). Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey. Information Fusion. 113. 102601–102601. 21 indexed citations
13.
Kheddar, Hamza, et al.. (2024). Ultrasound Images Classification of Thyroid Cancer using Deep Transfer Learning. 1–6. 1 indexed citations
14.
Kheddar, Hamza, et al.. (2024). Hybrid Machine Learning Approaches For Classification DDoS Attack. 1–7. 1 indexed citations
15.
Kheddar, Hamza, et al.. (2024). Deep learning techniques for hand vein biometrics: A comprehensive review. Information Fusion. 114. 102716–102716. 4 indexed citations
16.
Kheddar, Hamza, Yassine Himeur, Somaya Al-Máadeed, Abbes Amira, & Fayçal Bensaali. (2023). Deep transfer learning for automatic speech recognition: Towards better generalization. Knowledge-Based Systems. 277. 110851–110851. 76 indexed citations
17.
Chouchane, Ammar, et al.. (2023). Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features. Engineering Applications of Artificial Intelligence. 128. 107521–107521. 10 indexed citations
18.
Himeur, Yassine, Hamza Kheddar, Abdelkrim Boukabou, et al.. (2023). AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions. Systems. 11(10). 519–519. 55 indexed citations
19.
Mazari, Ahmed Cherif & Hamza Kheddar. (2023). Deep Learning-based Analysis of Algerian Dialect Dataset Targeted Hate Speech, Offensive Language and Cyberbullying. International Journal of Computing and Digital Systems. 13(1). 965–972. 15 indexed citations
20.
Kheddar, Hamza, Yassine Himeur, & Ali Ismail Awad. (2023). Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review. Journal of Network and Computer Applications. 220. 103760–103760. 68 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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