Ali Al-Saegh

508 total citations · 1 hit paper
13 papers, 377 citations indexed

About

Ali Al-Saegh is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ali Al-Saegh has authored 13 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ali Al-Saegh's work include EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (4 papers). Ali Al-Saegh is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Blind Source Separation Techniques (7 papers) and Neural Networks and Applications (4 papers). Ali Al-Saegh collaborates with scholars based in Iraq. Ali Al-Saegh's co-authors include Shefa A. Dawwd, Jassim M. Abdul-Jabbar and Ahmed A. Hussein and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Networks and Biomedical Signal Processing and Control.

In The Last Decade

Ali Al-Saegh

10 papers receiving 367 citations

Hit Papers

Deep learning for motor imagery EEG-based classification:... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Al-Saegh Iraq 5 336 131 117 86 69 13 377
Xiangmin Lun China 6 313 0.9× 127 1.0× 101 0.9× 83 1.0× 62 0.9× 17 384
Kais Belwafi Saudi Arabia 12 348 1.0× 140 1.1× 88 0.8× 92 1.1× 76 1.1× 37 480
Víctor Martínez-Cagigal Spain 13 433 1.3× 173 1.3× 131 1.1× 101 1.2× 54 0.8× 29 481
Shefa A. Dawwd Iraq 7 330 1.0× 128 1.0× 129 1.1× 105 1.2× 65 0.9× 25 426
Sofien Gannouni Saudi Arabia 11 301 0.9× 100 0.8× 70 0.6× 72 0.8× 63 0.9× 26 436
Sylvain Chevallier France 11 362 1.1× 139 1.1× 90 0.8× 71 0.8× 85 1.2× 44 428
Jassim M. Abdul-Jabbar Iraq 6 329 1.0× 129 1.0× 125 1.1× 83 1.0× 92 1.3× 36 407
Mengxi Dai China 7 260 0.8× 133 1.0× 100 0.9× 57 0.7× 75 1.1× 10 306
Eduardo Santamaría-Vázquez Spain 12 393 1.2× 137 1.0× 120 1.0× 68 0.8× 53 0.8× 28 475

Countries citing papers authored by Ali Al-Saegh

Since Specialization
Citations

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

Fields of papers citing papers by Ali Al-Saegh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Al-Saegh

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

All Works

13 of 13 papers shown
1.
Al-Saegh, Ali, et al.. (2025). Segmentation of Medical MRI Images Using Nested U-Net with Attention Mechanism and Fuzzy Pooling. Maǧallaẗ al-handasaẗ al-rāfidayn. 30(2). 104–115.
2.
Al-Saegh, Ali, et al.. (2024). Dual Optimization of Deep CNN for Motor Imagery EEG Tasks Classification. SHILAP Revista de lepidopterología. 75–91.
3.
Al-Saegh, Ali, Shefa A. Dawwd, & Jassim M. Abdul-Jabbar. (2024). Towards Efficient Motor Imagery EEG-based BCI Systems using DCNN. 59–66.
4.
Al-Saegh, Ali. (2023). Identifying a Suitable Signal Processing Technique for MI EEG Data. SHILAP Revista de lepidopterología. 30(3). 140–147. 1 indexed citations
5.
Al-Saegh, Ali, et al.. (2023). Wavelet-based Hybrid Learning Framework for Motor Imagery Classification. Iraqi Journal for Electrical And Electronic Engineering. 19(1). 47–56. 14 indexed citations
6.
Al-Saegh, Ali, Shefa A. Dawwd, & Jassim M. Abdul-Jabbar. (2021). CutCat: An augmentation method for EEG classification. Neural Networks. 141. 433–443. 36 indexed citations
7.
Al-Saegh, Ali, et al.. (2021). Real-Time Signature Recognition Using Neural Network. Maǧallaẗ al-handasaẗ al-rāfidayn. 26(1). 159–165. 2 indexed citations
8.
Al-Saegh, Ali, Shefa A. Dawwd, & Jassim M. Abdul-Jabbar. (2020). Deep learning for motor imagery EEG-based classification: A review. Biomedical Signal Processing and Control. 63. 102172–102172. 307 indexed citations breakdown →
9.
Al-Saegh, Ali. (2019). Comparison of Complex-Valued Independent Component Analysis Algorithms for EEG Data. Iraqi Journal for Electrical And Electronic Engineering. 15(1). 1–12. 4 indexed citations
10.
Al-Saegh, Ali. (2015). Off-line Signature Recognition Using Weightless Neural Network and Feature Extraction. Iraqi Journal for Electrical And Electronic Engineering. 11(1). 124–131. 1 indexed citations
11.
Al-Saegh, Ali. (2015). Independent Component Analysis for Separation of Speech Mixtures: A Comparison Among Thirty Algorithms. Iraqi Journal for Electrical And Electronic Engineering. 11(1). 1–9. 5 indexed citations
12.
Al-Saegh, Ali. (2015). Independent Component Analysis for Separation of Speech Mixtures: A Comparison Among Thirty Algorithms. Iraqi Journal for Electrical And Electronic Engineering. 11(1). 1–9. 5 indexed citations
13.
Al-Saegh, Ali. (2015). Off-line Signature Recognition Using Weightless Neural Network and Feature Extraction. Iraqi Journal for Electrical And Electronic Engineering. 11(1). 124–131. 2 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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