Mohemmed Sha

593 total citations
45 papers, 319 citations indexed

About

Mohemmed Sha is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohemmed Sha has authored 45 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohemmed Sha's work include Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers) and IoT and Edge/Fog Computing (4 papers). Mohemmed Sha is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (4 papers), Network Security and Intrusion Detection (4 papers) and IoT and Edge/Fog Computing (4 papers). Mohemmed Sha collaborates with scholars based in Saudi Arabia, United Kingdom and Pakistan. Mohemmed Sha's co-authors include Abdullah Alqahtani, Shtwai Alsubai, Sidra Abbas, Habib Ullah Khan, Adel Binbusayyis, Talha Javed, Abdu Gumaei, Ahmad Almadhor, Shuihua Wang‎ and Michal Greguš and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Gene.

In The Last Decade

Mohemmed Sha

38 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohemmed Sha Saudi Arabia 9 137 67 63 58 56 45 319
Balajee Maram India 9 109 0.8× 46 0.7× 78 1.2× 108 1.9× 78 1.4× 65 334
Hatem Khater Egypt 12 158 1.2× 56 0.8× 124 2.0× 86 1.5× 101 1.8× 40 425
Amena Mahmoud Egypt 11 151 1.1× 25 0.4× 77 1.2× 76 1.3× 53 0.9× 27 340
C. Kavitha India 10 164 1.2× 90 1.3× 71 1.1× 91 1.6× 118 2.1× 44 478
Omar Hisham Alsadoon Iraq 11 149 1.1× 26 0.4× 83 1.3× 129 2.2× 67 1.2× 37 375
Ketan Gupta United States 12 99 0.7× 88 1.3× 43 0.7× 37 0.6× 29 0.5× 44 417
Jahanzaib Latif China 8 106 0.8× 54 0.8× 185 2.9× 93 1.6× 49 0.9× 9 338
Nasmin Jiwani United States 14 100 0.7× 90 1.3× 46 0.7× 42 0.7× 30 0.5× 37 446
Neda Afreen India 11 65 0.5× 64 1.0× 51 0.8× 39 0.7× 25 0.4× 17 342
Chandradeep Bhatt India 5 90 0.7× 23 0.3× 68 1.1× 50 0.9× 32 0.6× 63 260

Countries citing papers authored by Mohemmed Sha

Since Specialization
Citations

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

Fields of papers citing papers by Mohemmed Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohemmed Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Mohemmed Sha. A scholar is included among the top collaborators of Mohemmed Sha 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 Mohemmed Sha. Mohemmed Sha 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.
Alsubai, Shtwai, et al.. (2025). Unveiling the genetic symphony: Deep learning for decoding promoters and non-promoters in DNA sequence. Gene Reports. 40. 102283–102283.
2.
Sha, Mohemmed, et al.. (2025). Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder. Human Behavior and Emerging Technologies. 2025(1). 4 indexed citations
3.
Sha, Mohemmed, et al.. (2024). PAI-1 influences and curcumin destabilizes MMP-2, MMP-9 and basement membrane proteins during lung injury and fibrosis. International Immunopharmacology. 143(Pt 3). 113587–113587. 5 indexed citations
4.
Binbusayyis, Adel & Mohemmed Sha. (2024). Stability Prediction in Smart Grid Using PSO Optimized XGBoost Algorithm with Dynamic Inertia Weight Updation. Computer Modeling in Engineering & Sciences. 142(1). 909–931. 4 indexed citations
5.
Alsubai, Shtwai, et al.. (2024). Facial emotion recognition using deep quantum and advanced transfer learning mechanism. Frontiers in Computational Neuroscience. 18. 1435956–1435956. 1 indexed citations
6.
Binbusayyis, Adel & Mohemmed Sha. (2024). Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism. Heliyon. 11(1). e41507–e41507. 6 indexed citations
7.
Shaikh, Sadiya Bi, et al.. (2024). Lung as a target for COVID-19: Mechanistic insights and probable candidate molecules for cure. Journal of Infection and Public Health. 17(4). 573–578.
8.
Alsubai, Shtwai, Abdullah Alqahtani, & Mohemmed Sha. (2023). Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication. Neural Networks. 162. 240–257. 12 indexed citations
9.
Alsubai, Shtwai, Abdullah Alqahtani, Mohemmed Sha, et al.. (2023). Privacy Preserved Cervical Cancer Detection Using Convolutional Neural Networks Applied to Pap Smear Images. Computational and Mathematical Methods in Medicine. 2023(1). 9676206–9676206. 29 indexed citations
10.
Alqahtani, Abdullah, Shtwai Alsubai, Mohemmed Sha, et al.. (2023). Automated White Blood Cell Disease Recognition Using Lightweight Deep Learning. Computer Systems Science and Engineering. 46(1). 107–123. 6 indexed citations
11.
Alqahtani, Abdullah, Shtwai Alsubai, Abdu Gumaei, et al.. (2023). Empowering Foot Health: Harnessing the Adaptive Weighted Sub-Gradient Convolutional Neural Network for Diabetic Foot Ulcer Classification. Diagnostics. 13(17). 2831–2831. 8 indexed citations
12.
Alqahtani, Abdullah, Shtwai Alsubai, Adel Binbusayyis, et al.. (2023). Optimizing Kidney Stone Prediction through Urinary Analysis with Improved Binary Particle Swarm Optimization and eXtreme Gradient Boosting. Mathematics. 11(7). 1717–1717. 6 indexed citations
13.
Alsubai, Shtwai, Abdullah Alqahtani, Adel Binbusayyis, et al.. (2023). Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification. Mathematics. 11(9). 2008–2008. 13 indexed citations
14.
Alsubai, Shtwai, et al.. (2023). Automated Cognitive Health Assessment Based on Daily Life Functional Activities. Computational Intelligence and Neuroscience. 2023(1). 5684914–5684914. 4 indexed citations
15.
Alsubai, Shtwai, Abdullah Alqahtani, Adel Binbusayyis, et al.. (2023). A Quantum Computing-Based Accelerated Model for Image Classification Using a Parallel Pipeline Encoded Inception Module. Mathematics. 11(11). 2513–2513. 3 indexed citations
16.
Alqahtani, Abdullah, Shtwai Alsubai, Adel Binbusayyis, et al.. (2023). Prediction of Urinary Tract Infection in IoT-Fog Environment for Smart Toilets Using Modified Attention-Based ANN and Machine Learning Algorithms. Applied Sciences. 13(10). 5860–5860. 6 indexed citations
17.
Khan, Muhammad Attique, Majed Alhaisoni, Abdullah Alqahtani, et al.. (2023). A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton–Raphson-Based Feature Selection Approach for Human Gait Recognition. Sensors. 23(5). 2754–2754. 9 indexed citations
18.
Alsubai, Shtwai, et al.. (2022). Smart Home-Based Complex Interwoven Activities for Cognitive Health Assessment. Journal of Sensors. 2022. 1–10. 7 indexed citations
19.
Sha, Mohemmed, et al.. (2022). Artificial Intelligence in Cyber Security: A Survey. 9(10). 201–205. 2 indexed citations
20.
Alsubai, Shtwai, et al.. (2022). Ensemble deep learning for brain tumor detection. Frontiers in Computational Neuroscience. 16. 1005617–1005617. 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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