Shabib Aftab

2.4k total citations · 3 hit papers
50 papers, 1.5k citations indexed

About

Shabib Aftab is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Shabib Aftab has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 19 papers in Artificial Intelligence and 14 papers in Software. Recurrent topics in Shabib Aftab's work include Software Engineering Research (21 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (11 papers). Shabib Aftab is often cited by papers focused on Software Engineering Research (21 papers), Software Reliability and Analysis Research (13 papers) and Software Engineering Techniques and Practices (11 papers). Shabib Aftab collaborates with scholars based in Pakistan, South Korea and China. Shabib Aftab's co-authors include Munir Ahmad, Ahmed Iqbal, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal, Iftikhar Ali, Zahid Nawaz, Muhammad Salman, Tariq Rahim Soomro and Nasser Taleb and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Shabib Aftab

49 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review

2021 181 citations Taher M. Ghazal, Shabib Aftab et al. IEEE Access profile →
Prediction of Diabetes Empowered With Fused Machine Learning

2022 154 citations Usama Ahmed, Ghassan F. Issa et al. IEEE Access profile →
A deep learning based model for diabetic retinopathy grading

2025 16 citations Samia Akhtar, Shabib Aftab et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shabib Aftab Pakistan	22	625	557	369	271	159	50	1.5k
Ajay Rana India	22	639 1.0×	532 1.0×	141 0.4×	440 1.6×	73 0.5×	236	1.8k
Jafar Habibi Iran	17	341 0.5×	633 1.1×	38 0.1×	375 1.4×	289 1.8×	97	1.3k
Salah Bouktif United Arab Emirates	15	449 0.7×	330 0.6×	254 0.7×	151 0.6×	17 0.1×	50	1.4k
Srikanta Patnaik India	19	388 0.6×	439 0.8×	38 0.1×	420 1.5×	41 0.3×	187	1.5k
Mostafa Haghi Kashani Iran	18	461 0.7×	270 0.5×	43 0.1×	661 2.4×	64 0.4×	32	1.3k
Muhammad Fermi Pasha Malaysia	17	544 0.9×	346 0.6×	21 0.1×	442 1.6×	105 0.7×	71	1.4k
Jiyoung Woo South Korea	23	243 0.4×	460 0.8×	64 0.2×	547 2.0×	42 0.3×	93	1.7k
Antoni Ligęza Poland	14	314 0.5×	716 1.3×	57 0.2×	206 0.8×	34 0.2×	75	1.5k
Mansoor Ahmed Pakistan	18	384 0.6×	295 0.5×	32 0.1×	334 1.2×	16 0.1×	82	1.1k
Chris Drummond Canada	11	334 0.5×	946 1.7×	42 0.1×	82 0.3×	74 0.5×	24	1.4k

Countries citing papers authored by Shabib Aftab

Since Specialization

Citations

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

Fields of papers citing papers by Shabib Aftab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shabib Aftab

This figure shows the co-authorship network connecting the top 25 collaborators of Shabib Aftab. A scholar is included among the top collaborators of Shabib Aftab 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 Shabib Aftab. Shabib Aftab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aftab, Shabib & Samia Akhtar. (2025). Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning. Journal of Software Engineering and Applications. 18(1). 1–23. 2 indexed citations

Akhtar, Samia, Shabib Aftab, Munir Ahmad, et al.. (2025). A deep learning based model for diabetic retinopathy grading. Scientific Reports. 15(1). 3763–3763. 16 indexed citations breakdown →

Akhtar, Samia & Shabib Aftab. (2024). A Framework for Diabetic Retinopathy Detection using Transfer Learning and Data Fusion. International Journal of Information Technology and Computer Science. 16(6). 61–73. 1 indexed citations

Aftab, Shabib, Muhammad Zahir Iqbal, Saikh Mohammad Wabaidur, & Ganesh Koyyada. (2023). A controllable conduction-type photovoltaic effect in MoTe2. Materials Today Sustainability. 22. 100368–100368. 2 indexed citations

Aftab, Shabib, Sagheer Abbas, Taher M. Ghazal, et al.. (2023). A Cloud-Based Software Defect Prediction System Using Data and Decision-Level Machine Learning Fusion. Mathematics. 11(3). 632–632. 14 indexed citations

Abbas, Sagheer, Shabib Aftab, Muhammad Adnan Khan, et al.. (2023). Data and Ensemble Machine Learning Fusion Based Intelligent Software Defect Prediction System. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 6083–6100. 12 indexed citations

Iqbal, Ahmed, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, & Shabib Aftab. (2022). Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey. International Journal of Multimedia Information Retrieval. 11(3). 333–368. 46 indexed citations

Khan, Muhammad Adnan, Nouh Sabri Elmitwally, Sagheer Abbas, et al.. (2022). Software Defect Prediction Using Artificial Neural Networks: A Systematic Literature Review. Scientific Programming. 2022. 1–10. 21 indexed citations

Rahman, Atta, Sagheer Abbas, Mohammed Gollapalli, et al.. (2022). Rainfall Prediction System Using Machine Learning Fusion for Smart Cities. Sensors. 22(9). 3504–3504. 93 indexed citations

10.

Ahmed, Usama, Ghassan F. Issa, Muhammad Adnan Khan, et al.. (2022). Prediction of Diabetes Empowered With Fused Machine Learning. IEEE Access. 10. 8529–8538. 154 indexed citations breakdown →

11.

Aftab, Shabib, Saad Alanazi, Munir Ahmad, et al.. (2021). Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion. Computers, materials & continua/Computers, materials & continua (Print). 68(1). 1341–1357. 12 indexed citations

12.

Iqbal, Ahmed & Shabib Aftab. (2020). Prediction of Defect Prone Software Modules using MLP based Ensemble Techniques. International Journal of Information Technology and Computer Science. 12(3). 26–31. 8 indexed citations

13.

Iqbal, Ahmed & Shabib Aftab. (2020). A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP. International Journal of Modern Education and Computer Science. 12(1). 18–25. 45 indexed citations

14.

Aftab, Shabib, et al.. (2020). Software Defect Prediction Using Variant based Ensemble Learning and Feature Selection Techniques. International Journal of Modern Education and Computer Science. 12(5). 29–40. 26 indexed citations

15.

Aftab, Shabib, et al.. (2019). A Framework for Software Defect Prediction Using Feature Selection and Ensemble Learning Techniques. International Journal of Modern Education and Computer Science. 11(12). 14–20. 19 indexed citations

16.

Iqbal, Ahmed & Shabib Aftab. (2019). A Feed-Forward and Pattern Recognition ANN Model for Network Intrusion Detection. International Journal of Computer Network and Information Security. 11(4). 19–25. 34 indexed citations

17.

Nawaz, Zahid, et al.. (2017). Simplified FDD Process Model. International Journal of Modern Education and Computer Science. 9(9). 53–59. 12 indexed citations

18.

Aftab, Shabib, et al.. (2017). Latest Customizations of XP: A Systematic Literature Review. International Journal of Modern Education and Computer Science. 9(12). 26–37. 13 indexed citations

19.

Aftab, Shabib, et al.. (2017). SXP: Simplified Extreme Programing Process Model. International Journal of Modern Education and Computer Science. 9(6). 25–31. 17 indexed citations

20.

Aftab, Shabib, et al.. (2017). Latest Transformations in Scrum: A State of the Art Review. International Journal of Modern Education and Computer Science. 9(7). 12–22. 28 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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