Anas W. Abulfaraj

477 total citations
26 papers, 215 citations indexed

About

Anas W. Abulfaraj is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Anas W. Abulfaraj has authored 26 papers receiving a total of 215 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 6 papers in Information Systems. Recurrent topics in Anas W. Abulfaraj's work include Advanced Neural Network Applications (4 papers), Brain Tumor Detection and Classification (3 papers) and Neural Networks and Applications (3 papers). Anas W. Abulfaraj is often cited by papers focused on Advanced Neural Network Applications (4 papers), Brain Tumor Detection and Classification (3 papers) and Neural Networks and Applications (3 papers). Anas W. Abulfaraj collaborates with scholars based in Saudi Arabia, Malaysia and India. Anas W. Abulfaraj's co-authors include Ashraf Osman Ibrahim, Mamoona Humayun, N. Z. Jhanjhi, Wamda Nagmeldin, Salil Bharany, Anton Satria Prabuwono, Sharaf J. Malebary, Akashdeep Bhardwaj, Mohamed Hashem and Manal Abdullah Alohali and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Anas W. Abulfaraj

24 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anas W. Abulfaraj Saudi Arabia 10 75 47 35 31 19 26 215
Achim P. Karduck Germany 8 52 0.7× 41 0.9× 44 1.3× 55 1.8× 8 0.4× 26 229
Nagy Ramadan Egypt 9 115 1.5× 71 1.5× 159 4.5× 29 0.9× 13 0.7× 52 325
Aprna Tripathi India 8 91 1.2× 62 1.3× 72 2.1× 30 1.0× 6 0.3× 29 221
Shazia Saqib Pakistan 9 61 0.8× 36 0.8× 68 1.9× 25 0.8× 14 0.7× 22 280
Nashrul Hakiem Indonesia 11 90 1.2× 58 1.2× 89 2.5× 14 0.5× 6 0.3× 60 274
Shaochen Zhong United States 3 140 1.9× 28 0.6× 42 1.2× 7 0.2× 10 0.5× 6 278
V. Mahalakshmi India 6 60 0.8× 45 1.0× 50 1.4× 33 1.1× 37 1.9× 25 260
Bassam Al-Shargabi Jordan 11 144 1.9× 76 1.6× 136 3.9× 13 0.4× 9 0.5× 37 333
Hongye Jin United States 2 128 1.7× 24 0.5× 41 1.2× 7 0.2× 10 0.5× 2 241
Mrinal Kanti Baowaly Bangladesh 8 164 2.2× 12 0.3× 42 1.2× 32 1.0× 29 1.5× 15 273

Countries citing papers authored by Anas W. Abulfaraj

Since Specialization
Citations

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

Fields of papers citing papers by Anas W. Abulfaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anas W. Abulfaraj. 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 Anas W. Abulfaraj. The network helps show where Anas W. Abulfaraj may publish in the future.

Co-authorship network of co-authors of Anas W. Abulfaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Anas W. Abulfaraj. A scholar is included among the top collaborators of Anas W. Abulfaraj 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 Anas W. Abulfaraj. Anas W. Abulfaraj 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.
Abulfaraj, Anas W., et al.. (2025). A Deep Ensemble Learning Approach Based on a Vision Transformer and Neural Network for Multi-Label Image Classification. Big Data and Cognitive Computing. 9(2). 39–39. 1 indexed citations
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Abulfaraj, Anas W., et al.. (2025). InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification. Frontiers in Artificial Intelligence. 8. 1540646–1540646.
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Malebary, Sharaf J., et al.. (2024). Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks. SHILAP Revista de lepidopterología. 12(2). 16–16. 10 indexed citations
6.
Ismail, Mohd Arfian, et al.. (2024). Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus. PLoS ONE. 19(5). e0302595–e0302595. 9 indexed citations
7.
Abulfaraj, Anas W.. (2024). Pervasive Attentive Neural Network for Intelligent Image Classification Based on N-CDE’s. Computers, materials & continua/Computers, materials & continua (Print). 79(1). 1137–1156. 1 indexed citations
8.
Alohali, Manal Abdullah, et al.. (2024). Roles of Blockchain in the Metaverse: Concepts, Taxonomy, Recent Advances, Enabling Technologies, and Open Research Issues. IEEE Access. 12. 38410–38435. 9 indexed citations
9.
Qureshi, Kashif Naseer, et al.. (2024). Enhanced centroid-based energy-efficient clustering routing protocol for serverless based wireless sensor networks. Journal of King Saud University - Computer and Information Sciences. 36(5). 102067–102067. 2 indexed citations
10.
Badotra, Sumit, et al.. (2024). Smart Patient Monitoring and Recommendation (SPMR) Using Cloud Analytics and Deep Learning. IEEE Access. 12. 54238–54255. 13 indexed citations
11.
Prabuwono, Anton Satria, et al.. (2023). Cognitive cloud framework for waste dumping analysis using deep learning vision computing in healthy environment. Computers & Electrical Engineering. 110. 108814–108814. 18 indexed citations
12.
Majid, Mazlina Abdul, et al.. (2023). JQPro:Join Query Processing in a Distributed System for Big RDF Data Using the Hash-Merge Join Technique. Mathematics. 11(5). 1275–1275. 2 indexed citations
13.
Ibrahim, Ashraf Osman, et al.. (2023). Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey. Sensors. 23(11). 5340–5340. 23 indexed citations
14.
Singh, Rajesh, Anita Gehlot, Kapil Joshi, et al.. (2023). Imperative Role of Digital Twin in the Management of Hospitality Services. International Journal of Advanced Computer Science and Applications. 14(9). 2 indexed citations
15.
Adeniyi, Abidemi Emmanuel, et al.. (2023). Development of an Image Encryption Algorithm using Latin Square Matrix and Logistics Map. International Journal of Advanced Computer Science and Applications. 14(9). 2 indexed citations
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Dutta, Ashit Kumar, et al.. (2022). Optimal Deep Belief Network Enabled Cybersecurity Phishing Email Classification. Computer Systems Science and Engineering. 44(3). 2701–2713. 3 indexed citations
18.
Jhanjhi, N. Z., et al.. (2022). Deep LSTM Model for Diabetes Prediction with Class Balancing by SMOTE. Electronics. 11(17). 2737–2737. 43 indexed citations
19.
Abulfaraj, Anas W., et al.. (2022). The effect of quality, security and privacy factors on trust and intention to use e-government services. International Journal of Data and Network Science. 7(1). 185–198. 36 indexed citations
20.
Abulfaraj, Anas W., et al.. (2021). A Novel Approach to Heuristic Evaluation. 1–5. 1 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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