Aqib Ali

858 total citations · 1 hit paper
33 papers, 492 citations indexed

About

Aqib Ali is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Aqib Ali has authored 33 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Neurology. Recurrent topics in Aqib Ali's work include Brain Tumor Detection and Classification (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Smart Agriculture and AI (5 papers). Aqib Ali is often cited by papers focused on Brain Tumor Detection and Classification (5 papers), Spectroscopy and Chemometric Analyses (5 papers) and Smart Agriculture and AI (5 papers). Aqib Ali collaborates with scholars based in Pakistan, China and France. Aqib Ali's co-authors include Samreen Naeem, Sania Anam, Farrukh Jamal, Christophe Chesneau, Wali Khan Mashwani, M. H. Tahir, Salman Qadri, Rehan Ahmad Khan Sherwani, Mahmood Ul Hassan and Samir Brahim Belhaouari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Sciences.

In The Last Decade

Aqib Ali

27 papers receiving 461 citations

Hit Papers

An Unsupervised Machine Learning Algorithms: Comprehensiv... 2023 2026 2024 2025 2023 25 50 75
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. An Unsupervised Machine Learning Algorithms: Comprehensive Review
    2023 92 citations Samreen Naeem, Aqib Ali et al. International Journal of Computing and Digital Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aqib Ali Pakistan 10 132 100 99 96 47 33 492
Sania Anam Pakistan 6 56 0.4× 77 0.8× 44 0.4× 81 0.8× 40 0.9× 19 345
Samreen Naeem Pakistan 10 130 1.0× 93 0.9× 98 1.0× 95 1.0× 1 0.0× 26 434
Zardad Khan Pakistan 13 13 0.1× 183 1.8× 26 0.3× 24 0.3× 66 1.4× 39 525
Santi Wulan Purnami Indonesia 10 16 0.1× 156 1.6× 8 0.1× 64 0.7× 37 0.8× 80 447
Ahmed Elhadad Saudi Arabia 12 31 0.2× 85 0.8× 15 0.2× 23 0.2× 7 0.1× 37 412
Piotr S. Szczepaniak Poland 12 14 0.1× 217 2.2× 10 0.1× 20 0.2× 25 0.5× 58 477
Dalia Ezzat Egypt 6 108 0.8× 195 1.9× 42 0.4× 141 1.5× 8 462
Amit Kumar Das India 8 69 0.5× 205 2.0× 20 0.2× 136 1.4× 3 0.1× 24 438
Mücahid Mustafa Sarıtaş Türkiye 4 26 0.2× 191 1.9× 17 0.2× 31 0.3× 5 0.1× 7 404

Countries citing papers authored by Aqib Ali

Since Specialization
Citations

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

Fields of papers citing papers by Aqib Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aqib Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Aqib Ali. A scholar is included among the top collaborators of Aqib Ali 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 Aqib Ali. Aqib Ali 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
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2.
Ali, Aqib, et al.. (2023). A State of Art Survey for Big Data Processing and NoSQL Database Architecture. International Journal of Computing and Digital Systems. 14(1). 297–309. 10 indexed citations
3.
Ali, Aqib, et al.. (2023). Review on Medical Image Segmentation and Feature Extraction Approaches. SHILAP Revista de lepidopterología. 21(2). 1 indexed citations
4.
Ali, Aqib, et al.. (2022). Machine Learning Based Classification of Lung Cancer Using CT Scan Images. 13908–13908. 2 indexed citations
5.
Ali, Aqib & Samreen Naeem. (2022). A Machine Learning Approach for The Brain Tumor Classification Using MR Imaging. 13943–13943. 2 indexed citations
6.
Naeem, Samreen, et al.. (2022). Machine Learning Methods Using Texture Feature Selection in Diagnosis of Liver Cancer. 13947–13947. 2 indexed citations
7.
Ali, Aqib, et al.. (2022). Machine Learning-Based Automated Detection of Diabetic Retinopathy Using Retinal fundus images.. 13906–13906. 2 indexed citations
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Naeem, Samreen, Aqib Ali, & Sania Anam. (2022). Computer Vision Based Skin Cancer Classification by Using Texture Features. 13933–13933. 2 indexed citations
11.
Ali, Aqib, et al.. (2022). Video Streams for The Detection of Thrown Objects from Expressways. 13932–13932. 1 indexed citations
12.
Naeem, Samreen, Aqib Ali, & Sania Anam. (2022). Analysis and Identification of Nephrolithiasis from Ultrasound Images using Machine Learning Approach. 13948–13948. 1 indexed citations
13.
Naeem, Samreen & Aqib Ali. (2022). Breast Cancer Diagnosis Using Machine Learning Techniques. 13913–13913. 4 indexed citations
14.
Naeem, Samreen, Aqib Ali, Christophe Chesneau, et al.. (2021). The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach. Agronomy. 11(2). 263–263. 68 indexed citations
15.
Jamal, Farrukh, et al.. (2021). Theory and application of the power ailamujia distribution. 9(3). 391–413. 6 indexed citations
16.
Bantan, Rashad A. R., Aqib Ali, Samreen Naeem, et al.. (2020). Discrimination of sunflower seeds using multispectral and texture dataset in combination with region selection and supervised classification methods. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(11). 113142–113142. 15 indexed citations
17.
Ali, Aqib, Salman Qadri, Wali Khan Mashwani, et al.. (2020). Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image. Entropy. 22(5). 567–567. 59 indexed citations
18.
Naeem, Samreen, Aqib Ali, Salman Qadri, et al.. (2020). Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images. Applied Sciences. 10(9). 3134–3134. 60 indexed citations
19.
Bantan, Rashad A. R., Farrukh Jamal, Mohammed Elgarhy, et al.. (2020). Some New Facts about the Unit-Rayleigh Distribution with Applications. Mathematics. 8(11). 1954–1954. 45 indexed citations
20.
Ali, Aqib, Wali Khan Mashwani, Samir Brahim Belhaouari, et al.. (2020). Machine learning approach for the classification of corn seed using hybrid features. International Journal of Food Properties. 23(1). 1110–1124. 60 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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