Muhammad Zubair

1.7k total citations · 1 hit paper
77 papers, 1.1k citations indexed

About

Muhammad Zubair is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Statistics and Probability. According to data from OpenAlex, Muhammad Zubair has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 21 papers in Electrical and Electronic Engineering and 14 papers in Statistics and Probability. Recurrent topics in Muhammad Zubair's work include Statistical Distribution Estimation and Applications (14 papers), Probabilistic and Robust Engineering Design (11 papers) and Wireless Communication Networks Research (9 papers). Muhammad Zubair is often cited by papers focused on Statistical Distribution Estimation and Applications (14 papers), Probabilistic and Robust Engineering Design (11 papers) and Wireless Communication Networks Research (9 papers). Muhammad Zubair collaborates with scholars based in Pakistan, Saudi Arabia and Brazil. Muhammad Zubair's co-authors include M. H. Tahir, Muhammad Mansoor, Gauss M. Cordeiro, Ayman Alzaatreh, Taher M. Ghazal, Muhammad Adnan Khan, Morad Alizadeh, G. G. Hamedani, Shahid Mehmood and Munir Ahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Muhammad Zubair

70 papers receiving 1.1k citations

Hit Papers

Malignancy Detection in Lung and Colon Histopathology Ima... 2022 2026 2023 2024 2022 50 100 150

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 18 452 305 283 175 155 77 1.1k
Zubair Ahmad Pakistan 22 1.0k 2.2× 539 1.8× 99 0.3× 27 0.2× 203 1.3× 108 1.4k
Rosa E. Lillo Spain 16 388 0.9× 187 0.6× 177 0.6× 18 0.1× 20 0.1× 91 872
Harry F. Martz United States 21 995 2.2× 1.2k 3.9× 235 0.8× 57 0.3× 109 0.7× 83 2.2k
Claude Nadeau Canada 7 432 1.0× 53 0.2× 439 1.6× 56 0.3× 18 0.1× 9 1.3k
Miroslav Kárný Czechia 19 62 0.1× 104 0.3× 524 1.9× 58 0.3× 23 0.1× 128 1.6k
Huda M. Alshanbari Saudi Arabia 15 306 0.7× 212 0.7× 66 0.2× 15 0.1× 49 0.3× 75 671
Weixin Yao United States 19 844 1.9× 140 0.5× 705 2.5× 15 0.1× 29 0.2× 108 1.5k
Peter C. Kiessler United States 10 157 0.3× 111 0.4× 99 0.3× 6 0.0× 42 0.3× 31 970
Yehuda Vardi United States 10 164 0.4× 59 0.2× 269 1.0× 91 0.5× 13 0.1× 21 859
S. Loukas Greece 11 548 1.2× 317 1.0× 123 0.4× 19 0.1× 117 0.8× 32 818

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.
Zubair, Muhammad, et al.. (2024). Unravelling the role of NDUFAF4 in Colon Cancer: Insights from multi-omics analysis. Journal of Proteomics. 310. 105309–105309. 2 indexed citations
2.
Asghar, Sohail, et al.. (2024). Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation. IEEE Access. 12. 126329–126343.
3.
Khan, Muhammad Farhan, Tariq Shahzad, Muhammad Adnan Khan, et al.. (2023). Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification. Computers, materials & continua/Computers, materials & continua (Print). 77(3). 2813–2831. 4 indexed citations
4.
Nasir, Muhammad Umar, Muhammad Farhan Khan, Muhammad Adnan Khan, et al.. (2023). Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing. Journal of Healthcare Engineering. 2023(1). 1406545–1406545. 5 indexed citations
5.
Nasir, Muhammad Umar, Muhammad Zubair, Taher M. Ghazal, et al.. (2022). Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning. Sensors. 22(19). 7483–7483. 34 indexed citations
6.
Ghazal, Taher M., Hussam Al Hamadi, Muhammad Umar Nasir, et al.. (2022). Supervised Machine Learning Empowered Multifactorial Genetic Inheritance Disorder Prediction. Computational Intelligence and Neuroscience. 2022. 1–10. 47 indexed citations
7.
Rahman, Atta, Muhammad Umar Nasir, Mohammed Gollapalli, et al.. (2022). Advance Genome Disorder Prediction Model Empowered With Deep Learning. IEEE Access. 10. 70317–70328. 23 indexed citations
8.
Nasir, Muhammad Umar, Taher M. Ghazal, Muhammad Adnan Khan, et al.. (2022). Breast Cancer Prediction Empowered with Fine-Tuning. Computational Intelligence and Neuroscience. 2022. 1–9. 43 indexed citations
9.
Zafar, Zeeshan, et al.. (2022). Fostering deep learning approaches to evaluate the impact of urbanization on vegetation and future prospects. Ecological Indicators. 146. 109788–109788. 23 indexed citations
10.
Tariq, Hassan, et al.. (2021). Targeted Next-generation Sequencing for Reliable Detection of Genetic Status in Breast Cancer. Journal of College of Physicians And Surgeons Pakistan. 31(7). 837–840. 3 indexed citations
11.
Mansoor, Muhammad, et al.. (2021). An Extended Fr echet Distribution: Properties and Applications. Journal of Data Science. 14(1). 167–188. 3 indexed citations
12.
Zubair, Muhammad, et al.. (2020). ASYMPTOTIC BEHAVIOR OF THE SOLUTIONS OF DIFFERENCE EQUATION SYSTEM OF EXPONENTIAL FORM. Fractals. 28(6). 2050118–2050118. 4 indexed citations
13.
Zubair, Muhammad, et al.. (2018). Immunohistochemical and Clinicopathological Factors Associated with Axillary Lymph Node Metastasis in Breast Cancer Patients of Northern Pakistan. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Qureshi, Ijaz Mansoor, et al.. (2014). Performance Analysis of Relay Subset Selection for Amplify-and-Forward Cognitive Relay Networks. The Scientific World JOURNAL. 2014. 1–10. 5 indexed citations
16.
Afzal, Saira, et al.. (2013). Determinants of Smoking in Females. Annals of King Edward Medical University. 19(2). 133–133. 1 indexed citations
17.
Qureshi, Ijaz Mansoor, et al.. (2013). SNR Maximization through Relay Selection in Cognitive Radio Networks. Research Journal of Applied Sciences Engineering and Technology. 5(8). 2616–2620. 1 indexed citations
18.
Zubair, Muhammad, et al.. (2010). MUD for WCDMA using modified PSO algorithm. 1–4.
19.
Zubair, Muhammad, et al.. (2008). Joint Channel and Data Estimation Using Particle Swarm Optimization. IEICE Transactions on Communications. E91-B(9). 3033–3036. 12 indexed citations
20.
Adil, Malik, Muhammad Zubair, & Umar Ali Khan. (2005). Prevalence of smoking in various cities of Pakistan. Rawal Medical Journal. 30(2). 74–75. 4 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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