Muhammad Zubair

974 total citations · 2 hit papers
37 papers, 611 citations indexed

About

Muhammad Zubair is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Muhammad Zubair has authored 37 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Muhammad Zubair's work include AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers) and Plant Disease Management Techniques (2 papers). Muhammad Zubair is often cited by papers focused on AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers) and Plant Disease Management Techniques (2 papers). Muhammad Zubair collaborates with scholars based in Pakistan, Saudi Arabia and United Arab Emirates. Muhammad Zubair's co-authors include Ahmad Reza Dehpour, Muhammad Imran Khan, Faiza Mumtaz, Mi Luo, Kaleem Mehmood, Shoaib Ahmad Anees, Khalid Ali Khan, Ahmed Waqas, Waseem Razzaq Khan and Muhammad Owais and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Zubair

34 papers receiving 597 citations

Hit Papers

Exploring spatiotemporal dynamics of NDVI and climate-dri... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Zubair Pakistan 10 144 130 78 72 72 37 611
Andrew Chih Wei Huang Taiwan 18 69 0.5× 115 0.9× 44 0.6× 85 1.2× 114 1.6× 75 956
David Henley Australia 20 132 0.9× 499 3.8× 31 0.4× 39 0.5× 26 0.4× 36 1.3k
Yuning Liu China 17 68 0.5× 135 1.0× 25 0.3× 57 0.8× 24 0.3× 67 893
Amit Lotan Israel 17 53 0.4× 73 0.6× 215 2.8× 91 1.3× 25 0.3× 37 949
Lingling Wang China 20 44 0.3× 56 0.4× 45 0.6× 95 1.3× 149 2.1× 120 1.2k
Jacqueline M. Klaver United States 9 40 0.3× 52 0.4× 108 1.4× 217 3.0× 102 1.4× 11 822
Ying Cai China 18 80 0.6× 75 0.6× 44 0.6× 68 0.9× 135 1.9× 35 1.1k
Devon L. Graham United States 21 187 1.3× 150 1.2× 77 1.0× 25 0.3× 121 1.7× 46 1.6k
Wenfu Li China 21 186 1.3× 53 0.4× 171 2.2× 29 0.4× 42 0.6× 69 1.3k
Sean D. Kelly United States 17 99 0.7× 229 1.8× 37 0.5× 87 1.2× 86 1.2× 52 858

Countries citing papers authored by Muhammad Zubair

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Zubair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Zubair

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Zubair. A scholar is included among the top collaborators of Muhammad Zubair 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 Muhammad Zubair. Muhammad Zubair 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.
Iqbal, Muhammad, et al.. (2025). A comprehensive survey on reconfigurable intelligent surfaces (RIS) and STAR-RIS for next-generation wireless networks. Discover Applied Sciences. 7(11). 1 indexed citations
2.
Usman, Syed Muhammad, et al.. (2025). Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm. PLoS ONE. 20(5). e0324293–e0324293. 3 indexed citations
3.
Zubair, Muhammad, et al.. (2025). A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis. Computer Methods and Programs in Biomedicine. 272. 109014–109014. 2 indexed citations
4.
Khalid, Shehzad, Syed Muhammad Usman, Amina Jameel, et al.. (2025). Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals. Frontiers in Medicine. 12. 1566870–1566870. 1 indexed citations
6.
Owais, Muhammad, Muhammad Zubair, Lakmal Seneviratne, Naoufel Werghi, & Irfan Hussain. (2024). Unified Synergistic Deep Learning Framework for Multimodal 2-D and 3-D Radiographic Data Analysis: Model Development and Validation. IEEE Access. 12. 159688–159705. 2 indexed citations
7.
Li, Qianmu, et al.. (2024). Unveiling the Correlation between Nonfunctional Requirements and Sustainable Environmental Factors Using a Machine Learning Model. Sustainability. 16(14). 5901–5901. 6 indexed citations
8.
Mahmood, Tahir, Muhammad Zubair, Zahid Ullah, et al.. (2024). Computer-Aided Diagnosis in Spontaneous Abortion: A Histopathology Dataset and Benchmark for Products of Conception. Diagnostics. 14(24). 2877–2877. 2 indexed citations
9.
Zubair, Muhammad, et al.. (2024). An Improved Machine Learning-Driven Framework for Cryptocurrencies Price Prediction With Sentimental Cautioning. IEEE Access. 12. 51395–51418. 8 indexed citations
10.
Zubair, Muhammad, et al.. (2024). Multiclass Classification of Retinal Disorders Using Optical Coherence Tomography Images. 1–6. 2 indexed citations
11.
Mehmood, Kaleem, Shoaib Ahmad Anees, Mi Luo, et al.. (2024). Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies. Trees Forests and People. 16. 100521–100521. 48 indexed citations breakdown →
12.
Shahid, Muhammad, Muhammad Umair, Muhammad Iqbal, et al.. (2024). Leveraging deep learning for toxic comment detection in cursive languages. PeerJ Computer Science. 10. e2486–e2486. 2 indexed citations
13.
Zubair, Muhammad, et al.. (2023). Multi-channel Episodic Memory Building using Recurrent Kernel Machine. 7. 1–6. 1 indexed citations
14.
Zubair, Muhammad, et al.. (2022). A Multi-Layer Holistic Approach for Cursive Text Recognition. Applied Sciences. 12(24). 12652–12652. 6 indexed citations
15.
Ullah, Zia, et al.. (2022). Emotion Recognition from Occluded Facial Images Using Deep Ensemble燤odel. Computers, materials & continua/Computers, materials & continua (Print). 73(3). 4465–4487. 10 indexed citations
16.
Safdar, Muhammad, Aixin Liang, Shahid Ali Rajput, et al.. (2021). Orexin-A Regulates Follicular Growth, Proliferation, Cell Cycle and Apoptosis in Mouse Primary Granulosa Cells via the AKT/ERK Signaling Pathway. Molecules. 26(18). 5635–5635. 22 indexed citations
17.
Zubair, Muhammad, et al.. (2020). Prevalence of dyslipidemia in hypertensive and diabetic patients. 16(2). 38–40. 1 indexed citations
18.
Mumtaz, Faiza, Muhammad Imran Khan, Muhammad Zubair, & Ahmad Reza Dehpour. (2018). Neurobiology and consequences of social isolation stress in animal model—A comprehensive review. Biomedicine & Pharmacotherapy. 105. 1205–1222. 262 indexed citations
19.
Tahir, Uruj, et al.. (2015). Wolbachia pipientis : A potential candidate for combating and eradicating dengue epidemics in Pakistan. Asian Pacific Journal of Tropical Medicine. 8(12). 989–998. 9 indexed citations
20.
Waqas, Ahmed, et al.. (2014). Public stigma associated with mental illnesses in Pakistani university students: a cross sectional survey. PeerJ. 2. e698–e698. 41 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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