Mohammed Diykh

1.2k total citations
28 papers, 822 citations indexed

About

Mohammed Diykh is a scholar working on Cognitive Neuroscience, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Mohammed Diykh has authored 28 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Signal Processing and 8 papers in Biomedical Engineering. Recurrent topics in Mohammed Diykh's work include EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (10 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Mohammed Diykh is often cited by papers focused on EEG and Brain-Computer Interfaces (19 papers), Blind Source Separation Techniques (10 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Mohammed Diykh collaborates with scholars based in Australia, Iraq and South Africa. Mohammed Diykh's co-authors include Yan Li, Shahab Abdulla, Peng Wen, Ravinesh C. Deo, Jonathan H. Green, David Lai, Khalid Saleh, Siuly Siuly, Xiangkui Wan and Mumtaz Ali and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

Mohammed Diykh

25 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Diykh Australia 16 561 291 138 129 120 28 822
Mitul Kumar Ahirwal India 15 311 0.6× 204 0.7× 129 0.9× 148 1.1× 130 1.1× 65 678
Musa Peker Türkiye 12 409 0.7× 274 0.9× 178 1.3× 99 0.8× 104 0.9× 27 855
Mohammad-Parsa Hosseini United States 11 457 0.8× 146 0.5× 110 0.8× 108 0.8× 74 0.6× 14 766
Natheer Khasawneh Jordan 13 376 0.7× 155 0.5× 170 1.2× 78 0.6× 105 0.9× 30 809
Tohid Yousefi Rezaii Iran 16 405 0.7× 152 0.5× 117 0.8× 88 0.7× 106 0.9× 57 762
Emina Aličković Sweden 13 865 1.5× 343 1.2× 290 2.1× 270 2.1× 137 1.1× 38 1.4k
Mehmet İsmail Gürsoy Türkiye 7 721 1.3× 399 1.4× 189 1.4× 130 1.0× 98 0.8× 14 963
Qingshan She China 19 591 1.1× 161 0.6× 240 1.7× 75 0.6× 181 1.5× 73 1.0k
Mahboobeh Jafari Australia 16 625 1.1× 116 0.4× 249 1.8× 132 1.0× 91 0.8× 23 1.2k
Temel Kayıkçıoğlu Türkiye 13 396 0.7× 128 0.4× 111 0.8× 97 0.8× 96 0.8× 82 676

Countries citing papers authored by Mohammed Diykh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Diykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Diykh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Diykh. A scholar is included among the top collaborators of Mohammed Diykh 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 Mohammed Diykh. Mohammed Diykh 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.
Li, Yan, et al.. (2025). EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification. Expert Systems with Applications. 269. 126433–126433. 4 indexed citations
2.
Diykh, Mohammed, et al.. (2025). SGDM-GRU: Spectral graph deep learning based Gated Recurrent Unit model for accurate fake news detection. Expert Systems with Applications. 281. 127572–127572.
3.
Diykh, Mohammed, et al.. (2025). Enhanced Polycystic Ovary Syndrome diagnosis model leveraging a K-means based genetic algorithm and ensemble approach. Intelligence-Based Medicine. 11. 100253–100253. 1 indexed citations
4.
Diykh, Mohammed, Mumtaz Ali, Ramendra Prasad, et al.. (2025). Designing empirical fourier decomposition reinforced with multiscale increment entropy and deep learning to forecast dry bulb air temperature. Results in Engineering. 26. 104597–104597. 1 indexed citations
5.
Diykh, Mohammed, Mumtaz Ali, Mehdi Jamei, et al.. (2025). Multi-step ahead significant wave height forecasting using global and local view graph representation based on GRU model. Ocean Engineering. 340. 122314–122314.
6.
Abdulla, Shahab, Mohammed Diykh, Siuly Siuly, & Mumtaz Ali. (2023). An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification. International Journal of Medical Informatics. 171. 105001–105001. 15 indexed citations
7.
Diykh, Mohammed, et al.. (2023). Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms. Biomedical Signal Processing and Control. 85. 104923–104923. 19 indexed citations
8.
Abdulla, Shahab, et al.. (2022). An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. Frontiers in Neuroinformatics. 15. 808339–808339. 2 indexed citations
9.
Diykh, Mohammed, et al.. (2022). Developing a robust model to predict depth of anesthesia from single channel EEG signal. Physical and Engineering Sciences in Medicine. 45(3). 793–808. 14 indexed citations
10.
Diykh, Mohammed, Shahab Abdulla, Ravinesh C. Deo, Siuly Siuly, & Mumtaz Ali. (2022). Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition. Computer Methods and Programs in Biomedicine. 229. 107305–107305. 15 indexed citations
11.
Abdulla, Shahab, et al.. (2022). Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems. IEEE Access. 10. 79090–79099. 7 indexed citations
12.
Abdulla, Shahab, et al.. (2021). Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection. Diagnostics. 12(1). 74–74. 20 indexed citations
13.
Diykh, Mohammed, et al.. (2020). A new framework for classification of multi-category hand grasps using EMG signals. Artificial Intelligence in Medicine. 112. 102005–102005. 33 indexed citations
14.
Abdulla, Shahab, et al.. (2019). Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. Expert Systems with Applications. 138. 112790–112790. 47 indexed citations
15.
Diykh, Mohammed, Yan Li, & Shahab Abdulla. (2019). EEG sleep stages identification based on weighted undirected complex networks. Computer Methods and Programs in Biomedicine. 184. 105116–105116. 49 indexed citations
16.
Diykh, Mohammed, Yan Li, Peng Wen, & Tianning Li. (2018). Complex networks approach for depth of anesthesia assessment. Measurement. 119. 178–189. 21 indexed citations
17.
Diykh, Mohammed, Yan Li, & Peng Wen. (2017). Classify epileptic EEG signals using weighted complex networks based community structure detection. Expert Systems with Applications. 90. 87–100. 69 indexed citations
18.
Diykh, Mohammed, Yan Li, & Peng Wen. (2016). EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(11). 1159–1168. 120 indexed citations
19.
Li, Yan, et al.. (2016). Classification of epileptic EEG signals based on simple random sampling and sequential feature selection. Brain Informatics. 3(2). 85–91. 70 indexed citations
20.
Diykh, Mohammed & Yan Li. (2016). Complex networks approach for EEG signal sleep stages classification. Expert Systems with Applications. 63. 241–248. 59 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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