Aiman Al-Sabaawi

1.0k total citations · 1 hit paper
10 papers, 527 citations indexed

About

Aiman Al-Sabaawi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Aiman Al-Sabaawi has authored 10 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Aiman Al-Sabaawi's work include Advanced Malware Detection Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers) and AI in cancer detection (3 papers). Aiman Al-Sabaawi is often cited by papers focused on Advanced Malware Detection Techniques (4 papers), Digital Imaging for Blood Diseases (3 papers) and AI in cancer detection (3 papers). Aiman Al-Sabaawi collaborates with scholars based in Australia, Iraq and Malaysia. Aiman Al-Sabaawi's co-authors include Mohamed Manoufali, Yuantong Gu, Mohammed A. Fadhel, Ali H. Al‐Timemy, Ashish Gupta, Jinshuai Bai, Laith Farhan, Laith Alzubaidi, Ye Duan and Felix Albu and has published in prestigious journals such as Sensors, Journal Of Big Data and IEEE Reviews in Biomedical Engineering.

In The Last Decade

Aiman Al-Sabaawi

9 papers receiving 512 citations

Hit Papers

A survey on deep learning tools dealing with data scarcit... 2023 2026 2024 2025 2023 100 200 300 400
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. A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
    2023 420 citations Laith Alzubaidi, Jinshuai Bai et al. Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiman Al-Sabaawi Australia 5 166 140 66 57 41 10 527
Sourav Mishra India 7 150 0.9× 127 0.9× 37 0.6× 70 1.2× 43 1.0× 21 534
R. R. Sedamkar India 6 133 0.8× 167 1.2× 57 0.9× 76 1.3× 34 0.8× 29 478
Dulari Bhatt India 3 150 0.9× 179 1.3× 37 0.6× 54 0.9× 36 0.9× 4 562
S. H. Shabbeer Basha India 7 201 1.2× 187 1.3× 32 0.5× 75 1.3× 34 0.8× 12 508
Sakshi Indolia India 4 109 0.7× 119 0.8× 34 0.5× 60 1.1× 38 0.9× 7 465
Pooja Asopa India 4 113 0.7× 101 0.7× 34 0.5× 60 1.1× 38 0.9× 5 458
Zhuang Liu China 7 183 1.1× 278 2.0× 55 0.8× 68 1.2× 36 0.9× 21 673
Neena Aloysius India 4 105 0.6× 152 1.1× 24 0.4× 42 0.7× 75 1.8× 7 503
S. S. Bedi India 11 142 0.9× 224 1.6× 35 0.5× 31 0.5× 46 1.1× 41 578
K. Sakthidasan Sankaran India 14 118 0.7× 185 1.3× 66 1.0× 26 0.5× 30 0.7× 71 592

Countries citing papers authored by Aiman Al-Sabaawi

Since Specialization
Citations

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

Fields of papers citing papers by Aiman Al-Sabaawi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aiman Al-Sabaawi. 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 Aiman Al-Sabaawi. The network helps show where Aiman Al-Sabaawi may publish in the future.

Co-authorship network of co-authors of Aiman Al-Sabaawi

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

All Works

10 of 10 papers shown
1.
Al-Dulaimi, Khamael, Jasmine Banks, Aiman Al-Sabaawi, et al.. (2023). Classification of HEp-2 Staining Pattern Images Using Adapted Multilayer Perceptron Neural Network-Based Intra-Class Variation of Cell Shape. Sensors. 23(4). 2195–2195. 2 indexed citations
2.
Alzubaidi, Laith, Jinshuai Bai, Aiman Al-Sabaawi, et al.. (2023). A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. Journal Of Big Data. 10(1). 420 indexed citations breakdown →
3.
Al-Sabaawi, Aiman. (2022). Cryptanalysis of Block Cipher: Method Implementation. 2022 International Conference for Advancement in Technology (ICONAT). 1–7. 1 indexed citations
4.
Ismail, Nor Azman, et al.. (2022). Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques. Journal of Plant Diseases and Protection. 129(4). 745–768. 37 indexed citations
5.
Al-Sabaawi, Aiman. (2021). Cryptanalysis of Classic Ciphers: Methods Implementation Survey. 2021 International Conference on Intelligent Technologies (CONIT). 1–6. 3 indexed citations
6.
Al-Sabaawi, Aiman. (2021). Cryptanalysis of Stream Cipher: Method Implementation. 2. 1–4.
7.
8.
Al-Sabaawi, Aiman. (2020). Cryptanalysis of Vigenère Cipher: Method Implementation. 13. 1–4. 4 indexed citations
9.
Al-Dulaimi, Khamael, et al.. (2020). Segmentation of White Blood Cell, Nucleus and Cytoplasm in Digital Haematology Microscope Images: A Review–Challenges, Current and Future Potential Techniques. IEEE Reviews in Biomedical Engineering. 14. 290–306. 49 indexed citations
10.

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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