Raed Alsini

1.2k total citations
61 papers, 659 citations indexed

About

Raed Alsini is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Raed Alsini has authored 61 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 10 papers in Molecular Biology. Recurrent topics in Raed Alsini's work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Machine Learning in Bioinformatics (8 papers). Raed Alsini is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Machine Learning in Bioinformatics (8 papers). Raed Alsini collaborates with scholars based in Saudi Arabia, Pakistan and Egypt. Raed Alsini's co-authors include Omar Alghushairy, Xiaogang Ma, Terence Soule, Ayman Yafoz, Farman Ali, Majdi Khalid, Wajdi Alghamdi, Atef Masmoudi, Ahmed Ibrahim and Ali Alqahtani and has published in prestigious journals such as PLoS ONE, Scientific Reports and Construction and Building Materials.

In The Last Decade

Raed Alsini

53 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raed Alsini Saudi Arabia 14 302 166 106 79 69 61 659
Habib Dhahri Saudi Arabia 17 383 1.3× 94 0.6× 49 0.5× 34 0.4× 55 0.8× 46 675
Hanaa Salem Egypt 15 344 1.1× 86 0.5× 184 1.7× 24 0.3× 21 0.3× 40 872
Belal Al‐Khateeb Iraq 15 396 1.3× 90 0.5× 22 0.2× 63 0.8× 32 0.5× 66 743
Jafar Tanha Iran 13 512 1.7× 79 0.5× 33 0.3× 56 0.7× 39 0.6× 76 841
Tirtharaj Dash India 12 206 0.7× 189 1.1× 31 0.3× 41 0.5× 62 0.9× 35 460
Ishfaq Yaseen Saudi Arabia 14 254 0.8× 171 1.0× 19 0.2× 83 1.1× 58 0.8× 95 629
Waleed M. Mohamed Egypt 13 542 1.8× 56 0.3× 59 0.6× 17 0.2× 77 1.1× 23 931
André Luis Debiaso Rossi Brazil 11 361 1.2× 31 0.2× 35 0.3× 50 0.6× 55 0.8× 32 720
Utkarsh Mahadeo Khaire India 7 251 0.8× 38 0.2× 75 0.7× 33 0.4× 43 0.6× 13 516
B. Venkatesh India 5 202 0.7× 48 0.3× 32 0.3× 39 0.5× 29 0.4× 20 475

Countries citing papers authored by Raed Alsini

Since Specialization
Citations

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

Fields of papers citing papers by Raed Alsini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raed Alsini

This figure shows the co-authorship network connecting the top 25 collaborators of Raed Alsini. A scholar is included among the top collaborators of Raed Alsini 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 Raed Alsini. Raed Alsini 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.
Aldehim, Ghadah, Mashael Maashi, Mashael M. Asiri, et al.. (2024). Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment. Alexandria Engineering Journal. 112. 688–700.
2.
Ali, Farman, et al.. (2024). VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN. Journal of Computational Science. 83. 102448–102448. 13 indexed citations
3.
Alsini, Raed, Anam Naz, Hikmat Ullah Khan, et al.. (2024). Using deep learning and word embeddings for predicting human agreeableness behavior. Scientific Reports. 14(1). 29875–29875. 10 indexed citations
4.
Alghushairy, Omar, Raed Alsini, Abdulrahman A. Alshdadi, et al.. (2024). An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System. IEEE Access. 12. 24428–24441. 7 indexed citations
5.
6.
Alabduallah, Bayan, Mohammed Maray, Nuha Alruwais, et al.. (2024). Class imbalanced data handling with cyberattack classification using Hybrid Salp Swarm Algorithm with deep learning approach. Alexandria Engineering Journal. 106. 654–663. 2 indexed citations
7.
Motwakel, Abdelwahed, Aisha Hassan Abdalla Hashim, Hanan Abdullah Mengash, et al.. (2023). Green Anaconda Optimization Based Energy Aware Clustering Protocol for 6G Wireless Communication Systems. Mobile Networks and Applications. 29(1). 187–200.
8.
Alsini, Raed. (2023). Analysis of Real Time Twitter Sentiments using Deep Learning Models. Journal of Applied Data Sciences. 4(4). 480–489. 1 indexed citations
9.
Mahmood, Khalid, et al.. (2023). Modified Red Fox Optimizer With Deep Learning Enabled False Data Injection Attack Detection. IEEE Access. 11. 79256–79264. 6 indexed citations
10.
Obayya, Marwa, et al.. (2023). Biomedical Image Analysis for Colon and Lung Cancer Detection Using Tuna Swarm Algorithm With Deep Learning Model. IEEE Access. 11. 94705–94712. 33 indexed citations
11.
Aslam, Sheraz, et al.. (2022). A Hybrid Deep Learning-Based Model for Detection of Electricity Losses Using Big Data in Power Systems. Sustainability. 14(20). 13627–13627. 17 indexed citations
12.
Alsulami, Abdulaziz A., Qasem Abu Al‐Haija, Ali Alqahtani, & Raed Alsini. (2022). Symmetrical Simulation Scheme for Anomaly Detection in Autonomous Vehicles Based on LSTM Model. Symmetry. 14(7). 1450–1450. 22 indexed citations
13.
Obayya, Marwa, Ayman Yafoz, Raed Alsini, et al.. (2022). Wavelet Mutation with Aquila Optimization-Based Routing Protocol for Energy-Aware Wireless Communication. Sensors. 22(21). 8508–8508. 11 indexed citations
14.
Alshareef, Abdulrhman M., Raed Alsini, Fadwa Alrowais, et al.. (2022). Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression. Journal of Healthcare Engineering. 2022. 1–12. 26 indexed citations
15.
Yafoz, Ayman, et al.. (2022). Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding. Applied Sciences. 12(17). 8633–8633. 4 indexed citations
16.
Duhayyim, Mesfer Al, Areej Malibari, Abdullah Alharbi, et al.. (2022). Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images. Remote Sensing. 14(24). 6222–6222. 9 indexed citations
17.
Alrayes, Fatma S., Mohammed Maray, Ayman Yafoz, et al.. (2022). Modeling of Botnet Detection Using Barnacles Mating Optimizer with Machine Learning Model for Internet of Things Environment. Electronics. 11(20). 3411–3411. 12 indexed citations
18.
Shaiba, Hadil, Ayman Yafoz, Raed Alsini, et al.. (2022). Feature Subset Selection Hybrid Deep Belief Network Based Cybersecurity Intrusion Detection Model. Electronics. 11(19). 3077–3077. 3 indexed citations
19.
Selvarajan, Shitharth, Hariprasath Manoharan, Tawfiq Hasanin, et al.. (2022). Biomedical Signals for Healthcare Using Hadoop Infrastructure with Artificial Intelligence and Fuzzy Logic Interpretation. Applied Sciences. 12(10). 5097–5097. 19 indexed citations
20.
Alissa, Khalid, Dalia H. Elkamchouchi, Ayman Yafoz, et al.. (2022). Dwarf Mongoose Optimization with Machine-Learning-Driven Ransomware Detection in Internet of Things Environment. Applied Sciences. 12(19). 9513–9513. 24 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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