Muhammad Tahir

1.2k total citations · 1 hit paper
44 papers, 711 citations indexed

About

Muhammad Tahir is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Muhammad Tahir has authored 44 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Muhammad Tahir's work include Machine Learning in Bioinformatics (11 papers), Cell Image Analysis Techniques (6 papers) and Image Processing Techniques and Applications (4 papers). Muhammad Tahir is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), Cell Image Analysis Techniques (6 papers) and Image Processing Techniques and Applications (4 papers). Muhammad Tahir collaborates with scholars based in Pakistan, Saudi Arabia and China. Muhammad Tahir's co-authors include Vivek Vivek, Mohammed Arshad Khan, Mohammed Kamalun Nabi, Asifullah Khan, Maqsood Hayat, Adnan Idris, Abdul Majid, Nawaf N. Hamadneh, Mohammad Khalid Imam Rahmani and Sher Afzal Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Access.

In The Last Decade

Muhammad Tahir

43 papers receiving 661 citations

Hit Papers

Students’ Perception towards E-Learning during COVID-19 P... 2020 2026 2022 2024 2020 50 100 150 200
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. Students’ Perception towards E-Learning during COVID-19 Pandemic in India: An Empirical Study
    2020 230 citations Muhammad Tahir et al. Sustainability profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Tahir Pakistan 14 160 134 109 104 101 44 711
Shudong Wang China 17 89 0.6× 325 2.4× 161 1.5× 78 0.8× 114 1.1× 107 1.0k
Hussam N. Fakhouri Jordan 13 62 0.4× 19 0.1× 184 1.7× 43 0.4× 120 1.2× 61 583
Wentao Chen China 17 78 0.5× 203 1.5× 216 2.0× 111 1.1× 78 0.8× 75 973
Antoine Doucet France 15 44 0.3× 40 0.3× 468 4.3× 202 1.9× 130 1.3× 76 848
Alexander Mikroyannidis United Kingdom 12 83 0.5× 37 0.3× 218 2.0× 49 0.5× 269 2.7× 82 757
Daniel Manrique Spain 12 335 2.1× 52 0.4× 152 1.4× 28 0.3× 109 1.1× 42 663
Kavita Khanna India 13 50 0.3× 8 0.1× 131 1.2× 179 1.7× 75 0.7× 45 608
Nazik Alturki Saudi Arabia 16 53 0.3× 27 0.2× 594 5.4× 135 1.3× 113 1.1× 50 1.1k

Countries citing papers authored by Muhammad Tahir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Tahir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Tahir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Tahir. A scholar is included among the top collaborators of Muhammad Tahir 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 Tahir. Muhammad Tahir 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.
Muzaffar, Abdul Wahab, Farhan Riaz, & Muhammad Tahir. (2025). OsteoNet—A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network. IEEE Access. 13. 25175–25185. 1 indexed citations
2.
Anwar, Saeed, Muhammad Tahir, Chongyi Li, et al.. (2024). Image colorization: A survey and dataset. Information Fusion. 114. 102720–102720. 9 indexed citations
3.
Tahir, Muhammad, Shehroz S. Khan, James Davie, Soichiro Yamanaka, & Ahmed Ashraf. (2024). LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions. Applied Intelligence. 55(1). 1 indexed citations
4.
Tahir, Muhammad, et al.. (2024). Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts. Computers in Biology and Medicine. 183. 109302–109302. 10 indexed citations
5.
Li, Kaiyu, et al.. (2023). Towards Path Planning Algorithm Combining with A-Star Algorithm and Dynamic Window Approach Algorithm. International Journal of Advanced Computer Science and Applications. 14(6). 4 indexed citations
6.
Said, Suhana Mohd, et al.. (2022). Review of Fe-based spin crossover metal complexes in multiscale device architectures. Inorganica Chimica Acta. 544. 121168–121168. 29 indexed citations
7.
Shah, Muhammad Arif, et al.. (2022). Students’ Academic Performance and Engagement Prediction in a Virtual Learning Environment Using Random Forest with Data Balancing. Sustainability. 14(22). 14795–14795. 13 indexed citations
8.
9.
Muzaffar, Abdul Wahab, et al.. (2021). A Systematic Review of Online Exams Solutions in E-Learning: Techniques, Tools, and Global Adoption. IEEE Access. 9. 32689–32712. 6 indexed citations
10.
Ismail, Mohd Tahir, et al.. (2021). Forecasting Stock Market Volatility Using Hybrid of Adaptive Network of Fuzzy Inference System and Wavelet Functions. Journal of Mathematics. 2021. 1–10. 12 indexed citations
11.
Khan, Salman A., et al.. (2021). Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 2449–2462. 16 indexed citations
12.
Tahir, Muhammad, et al.. (2020). Prediction of Indonesian Inflation Rate Using Regression Model Based on Genetic Algorithms. Jurnal Online Informatika. 5(1). 45–52. 29 indexed citations
13.
Aamir, Muhammad, et al.. (2019). An Optimized Architecture of Image Classification Using Convolutional Neural Network. International Journal of Image Graphics and Signal Processing. 11(10). 30–39. 24 indexed citations
14.
Tahir, Muhammad & Adnan Idris. (2019). MD-LBP: An Efficient Computational Model for Protein Subcellular Localization from HeLa Cell Lines Using SVM. Current Bioinformatics. 15(3). 204–211. 23 indexed citations
15.
Tahir, Muhammad, et al.. (2018). Efficient computational model for classification of protein localization images using Extended Threshold Adjacency Statistics and Support Vector Machines. Computer Methods and Programs in Biomedicine. 157. 205–215. 11 indexed citations
16.
Tahir, Muhammad. (2016). Pattern analysis of protein images from fluorescence microscopy using Gray Level Co-occurrence Matrix. Journal of King Saud University - Science. 30(1). 29–40. 21 indexed citations
17.
Hayat, Maqsood, Muhammad Tahir, & Sher Afzal Khan. (2014). Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces. Journal of Theoretical Biology. 346. 8–15. 33 indexed citations
18.
Tahir, Muhammad, Asifullah Khan, & Hüseyin Kaya. (2013). Protein subcellular localization in human and hamster cell lines: Employing local ternary patterns of fluorescence microscopy images. Journal of Theoretical Biology. 340. 85–95. 12 indexed citations
19.
Khan, Asifullah, et al.. (2013). MitProt-Pred: Predicting mitochondrial proteins of Plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification. Computers in Biology and Medicine. 43(10). 1502–1511. 9 indexed citations
20.
Tahir, Muhammad, Asifullah Khan, & Abdul Majid. (2011). Protein subcellular localization of fluorescence imagery using spatial and transform domain features. Bioinformatics. 28(1). 91–97. 36 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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