Majdi Khalid

765 total citations
42 papers, 405 citations indexed

About

Majdi Khalid is a scholar working on Artificial Intelligence, Neurology and Computer Networks and Communications. According to data from OpenAlex, Majdi Khalid has authored 42 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Neurology and 6 papers in Computer Networks and Communications. Recurrent topics in Majdi Khalid's work include Brain Tumor Detection and Classification (7 papers), Machine Learning in Bioinformatics (6 papers) and Network Security and Intrusion Detection (5 papers). Majdi Khalid is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Machine Learning in Bioinformatics (6 papers) and Network Security and Intrusion Detection (5 papers). Majdi Khalid collaborates with scholars based in Saudi Arabia, Pakistan and Bangladesh. Majdi Khalid's co-authors include Md. Alamin Talukder, Farman Ali, Md. Ashraf Uddin, Raed Alsini, Radwa Marzouk, Omar Alghushairy, Arnisha Akhter, Md. Manowarul Islam, Mohamed Ibrahim Alsaid and Wajdi Alghamdi and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Majdi Khalid

38 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majdi Khalid Saudi Arabia 14 119 78 68 67 52 42 405
Asghar Ali Shah Pakistan 11 93 0.8× 82 1.1× 48 0.7× 80 1.2× 16 0.3× 47 403
Eslam Al Maghayreh Jordan 11 207 1.7× 43 0.6× 78 1.1× 85 1.3× 33 0.6× 36 467
Labib M. Labib Egypt 8 219 1.8× 65 0.8× 57 0.8× 103 1.5× 13 0.3× 14 382
Xu Lu China 12 93 0.8× 67 0.9× 139 2.0× 74 1.1× 14 0.3× 52 539
Richa Gupta India 12 88 0.7× 21 0.3× 109 1.6× 33 0.5× 21 0.4× 86 480
Ayman Yafoz Saudi Arabia 13 143 1.2× 33 0.4× 47 0.7× 124 1.9× 12 0.2× 54 361
Jamal Uddin Pakistan 12 71 0.6× 137 1.8× 76 1.1× 49 0.7× 9 0.2× 22 515
Nadhem Nemri Saudi Arabia 12 168 1.4× 23 0.3× 79 1.2× 105 1.6× 28 0.5× 50 431
Mohammed Eshtay Jordan 9 262 2.2× 26 0.3× 57 0.8× 68 1.0× 14 0.3× 15 394
Summrina Kanwal Saudi Arabia 11 185 1.6× 22 0.3× 67 1.0× 46 0.7× 16 0.3× 22 371

Countries citing papers authored by Majdi Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Majdi Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Majdi Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of Majdi Khalid. A scholar is included among the top collaborators of Majdi Khalid 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 Majdi Khalid. Majdi Khalid 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.
Talukder, Md. Alamin, et al.. (2025). A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction. Scientific Reports. 15(1). 4617–4617. 9 indexed citations
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Ali, Muhammad Umair, et al.. (2024). MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature. Bioengineering. 11(11). 1076–1076. 1 indexed citations
5.
Talukder, Md. Alamin, et al.. (2024). A hybrid cardiovascular arrhythmia disease detection using ConvNeXt-X models on electrocardiogram signals. Scientific Reports. 14(1). 30366–30366. 11 indexed citations
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Alsini, Raed, et al.. (2024). Deep-VEGF: deep stacked ensemble model for prediction of vascular endothelial growth factor by concatenating gated recurrent unit with two-dimensional convolutional neural network. Journal of Biomolecular Structure and Dynamics. 43(16). 8893–8903. 15 indexed citations
8.
Talukder, Md. Alamin, Majdi Khalid, & Md. Ashraf Uddin. (2024). An integrated multistage ensemble machine learning model for fraudulent transaction detection. Journal Of Big Data. 11(1). 17 indexed citations
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Negm, Noha, et al.. (2024). Tasmanian devil optimization with deep autoencoder for intrusion detection in IoT assisted unmanned aerial vehicle networks. Ain Shams Engineering Journal. 15(11). 102943–102943. 2 indexed citations
11.
Ali, Muhammad Umair, et al.. (2024). Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI. Frontiers in Psychiatry. 15. 1395563–1395563. 12 indexed citations
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Albraikan, Amani Abdulrahman, Majdi Khalid, Nuha Alruwais, et al.. (2023). Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer With Deep Learning Model. IEEE Access. 11. 71616–71623. 3 indexed citations
14.
Alrowais, Fadwa, Noha Negm, Majdi Khalid, et al.. (2023). Modified Earthworm Optimization With Deep Learning Assisted Emotion Recognition for Human Computer Interface. IEEE Access. 11. 35089–35096. 7 indexed citations
15.
Obayya, Marwa, Fahd N. Al‐Wesabi, Rana Alabdan, et al.. (2023). Artificial Intelligence for Traffic Prediction and Estimation in Intelligent Cyber-Physical Transportation Systems. IEEE Transactions on Consumer Electronics. 70(1). 1706–1715. 18 indexed citations
16.
Alrowais, Fadwa, Noha Negm, Majdi Khalid, et al.. (2023). Henry Gas Solubility Optimization With Deep Learning Based Facial Emotion Recognition for Human Computer Interface. IEEE Access. 11. 62233–62241. 11 indexed citations
17.
Marzouk, Radwa, Nuha Alruwais, Noha Negm, et al.. (2023). Modeling of Blockchain Assisted Intrusion Detection on IoT Healthcare System Using Ant Lion Optimizer With Hybrid Deep Learning. IEEE Access. 11. 82199–82207. 29 indexed citations
18.
Khan, Naveed Ahmad, et al.. (2023). Supervised machine learning for jamming transition in traffic flow with fluctuations in acceleration and braking. Computers & Electrical Engineering. 109. 108740–108740. 8 indexed citations
19.
Alshammari, Fahad Sameer, et al.. (2023). Traffic flow modelling for uphill and downhill highways: Analysed by soft computing-based approach. Computers & Electrical Engineering. 110. 108922–108922. 2 indexed citations
20.
Ali, Muhammad Umair, et al.. (2023). Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework. Bioengineering. 10(12). 1430–1430. 12 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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