Bayan Alabduallah

913 total citations · 1 hit paper
25 papers, 474 citations indexed

About

Bayan Alabduallah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Bayan Alabduallah has authored 25 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Bayan Alabduallah's work include Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Human Pose and Action Recognition (3 papers). Bayan Alabduallah is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Human Pose and Action Recognition (3 papers). Bayan Alabduallah collaborates with scholars based in Saudi Arabia, India and Egypt. Bayan Alabduallah's co-authors include Abrar Almjally, Shakir Khan, Gaurav Gupta, Tamanna Siddiqui, A. Mellit, Ahmad Waleed Salehi, Hadeel Alsolai, Naif Al Mudawi, Saud S. Alotaibi and Jeongmin Park and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Bayan Alabduallah

25 papers receiving 453 citations

Hit Papers

A Study of CNN and Transfer Learning in Medical Imaging: ... 2023 2026 2024 2025 2023 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope
    2023 256 citations Ahmad Waleed Salehi, Shakir Khan et al. Sustainability profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bayan Alabduallah Saudi Arabia 8 144 142 81 43 41 25 474
Abrar Almjally Saudi Arabia 7 107 0.7× 122 0.9× 79 1.0× 33 0.8× 38 0.9× 19 415
Tamanna Siddiqui India 9 103 0.7× 152 1.1× 101 1.2× 45 1.0× 63 1.5× 33 506
Jiajia Li China 9 167 1.2× 118 0.8× 69 0.9× 24 0.6× 21 0.5× 36 482
Hengde Zhu United Kingdom 7 172 1.2× 172 1.2× 150 1.9× 108 2.5× 79 1.9× 14 596
Ahmad Waleed Salehi India 10 97 0.7× 189 1.3× 148 1.8× 38 0.9× 116 2.8× 14 535
Dildar Hussain South Korea 14 151 1.0× 164 1.2× 200 2.5× 170 4.0× 51 1.2× 60 746
Pradeep Kumar Singh India 9 62 0.4× 81 0.6× 127 1.6× 22 0.5× 29 0.7× 51 431
Filipe R. Cordeiro Brazil 13 156 1.1× 204 1.4× 60 0.7× 61 1.4× 16 0.4× 51 515
Songül Albayrak Türkiye 13 167 1.2× 122 0.9× 48 0.6× 105 2.4× 20 0.5× 81 513
Kh Tohidul Islam Australia 12 175 1.2× 98 0.7× 151 1.9× 46 1.1× 40 1.0× 22 427

Countries citing papers authored by Bayan Alabduallah

Since Specialization
Citations

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

Fields of papers citing papers by Bayan Alabduallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bayan Alabduallah

This figure shows the co-authorship network connecting the top 25 collaborators of Bayan Alabduallah. A scholar is included among the top collaborators of Bayan Alabduallah 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 Bayan Alabduallah. Bayan Alabduallah 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.
2.
Khan, Mudassir, et al.. (2024). An integrated method for detecting lung cancer via CT scanning via optimization, deep learning, and IoT data transmission. Frontiers in Oncology. 14. 1435041–1435041. 2 indexed citations
3.
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
4.
Alabduallah, Bayan, et al.. (2024). Exploiting Feature Fusion With Deep Learning-Based Next-Generation Consumer Products Detection on Video Surveillance Monitoring Systems. IEEE Transactions on Consumer Electronics. 70(4). 7310–7317. 1 indexed citations
5.
Khayyat, Mashael, et al.. (2024). An improved biometric stress monitoring solution for working employees using heart rate variability data and Capsule Network model. PLoS ONE. 19(12). e0310776–e0310776. 1 indexed citations
6.
Alabduallah, Bayan, et al.. (2024). Chaotic image encryption algorithm with improved bonobo optimizer and DNA coding for enhanced security. Heliyon. 10(3). e25257–e25257. 4 indexed citations
7.
Alabduallah, Bayan, et al.. (2024). Advancing Cryptographic Security With a New Delannoy-Derived Chaotic S-Box. IEEE Access. 12. 82926–82937. 2 indexed citations
8.
Alabdan, Rana, et al.. (2024). Blockchain-assisted improved interval type-2 fuzzy deep learning-based attack detection on internet of things driven consumer electronics. Alexandria Engineering Journal. 110. 153–167. 3 indexed citations
9.
Jamel, Leila, Muhammad Umer, Oumaima Saidani, et al.. (2024). Improving prediction of maternal health risks using PCA features and TreeNet model. PeerJ Computer Science. 10. e1982–e1982. 3 indexed citations
10.
Alabduallah, Bayan, et al.. (2024). Bioinspired artificial intelligence based android malware detection and classification for cybersecurity applications. Alexandria Engineering Journal. 100. 142–152. 2 indexed citations
11.
12.
Alotaibi, Saud S., Naif Al Mudawi, Bayan Alabduallah, et al.. (2023). An Elliptical Modeling Supported System for Human Action Deep Recognition Over Aerial Surveillance. IEEE Access. 11. 75671–75685. 48 indexed citations
13.
Mudawi, Naif Al, Bayan Alabduallah, Abdulwahab Alazeb, et al.. (2023). Predictive Analytics for Sustainable E-Learning: Tracking Student Behaviors. Sustainability. 15(20). 14780–14780. 33 indexed citations
14.
Khan, Shakir, Sonia Garg, Gaurav Gupta, et al.. (2023). Hybrid Majority Voting: Prediction and Classification Model for Obesity. Diagnostics. 13(15). 2610–2610. 32 indexed citations
15.
Venkatesh, B., et al.. (2023). Design Optimization of Counter-Flow Double-Pipe Heat Exchanger Using Hybrid Optimization Algorithm. Processes. 11(6). 1674–1674. 9 indexed citations
16.
Khan, Shakir, et al.. (2023). Manufacturing industry based on dynamic soft sensors in integrated with feature representation and classification using fuzzy logic and deep learning architecture. The International Journal of Advanced Manufacturing Technology. 128(7-8). 2885–2897. 5 indexed citations
17.
Salehi, Ahmad Waleed, Shakir Khan, Gaurav Gupta, et al.. (2023). A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope. Sustainability. 15(7). 5930–5930. 256 indexed citations breakdown →
18.
Gupta, Gaurav, et al.. (2023). DDPM: A Dengue Disease Prediction and Diagnosis Model Using Sentiment Analysis and Machine Learning Algorithms. Diagnostics. 13(6). 1093–1093. 31 indexed citations
19.
Mudawi, Naif Al, et al.. (2023). A Multimodal IoT-Based Locomotion Classification System Using Features Engineering and Recursive Neural Network. Sensors. 23(10). 4716–4716. 8 indexed citations
20.
Khan, Shakir, et al.. (2023). Transformer Architecture-Based Transfer Learning for Politeness Prediction in Conversation. Sustainability. 15(14). 10828–10828. 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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