Muhammad Yaqub

1.4k total citations · 2 hit papers
46 papers, 856 citations indexed

About

Muhammad Yaqub is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Muhammad Yaqub has authored 46 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Muhammad Yaqub's work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (8 papers) and Engineering Diagnostics and Reliability (6 papers). Muhammad Yaqub is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (8 papers) and Engineering Diagnostics and Reliability (6 papers). Muhammad Yaqub collaborates with scholars based in China, Pakistan and Australia. Muhammad Yaqub's co-authors include Atif Mehmood, Jinchao Feng, Kaleem Arshid, Iqbal Gondal, Joarder Kamruzzaman, M. Sultan Zia, Zaka Ur Rehman, Rizwan Khan, Ahmad Al Smadi and Zhixi Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neuroscience.

In The Last Decade

Muhammad Yaqub

45 papers receiving 829 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.

A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images

2021 190 citations Atif Mehmood, Shuyuan Yang et al. Neuroscience profile →
Artificial intelligence in agriculture: Advancing crop productivity and sustainability

2025 22 citations Lan He, Muhammad Yaqub et al. Journal of Agriculture and Food Research profile →

Peers

Muhammad Yaqub

NEURO

CVPR

RNMI

CSE

Jie Yan China

M. G. Sumithra India

Hatem Khater Egypt

R. Murugan India

Chun-Mei Feng China

Sheng Li China

Shivajirao M. Jadhav India

Hany S. Hussein Egypt

Ghada M. El‐Banby Egypt

Jie Yan China

Muhammad Yaqub

170 ×0.7

NEURO

172 ×0.8

213 ×1.3

CVPR

47 ×0.3

RNMI

58 ×0.5

CSE

Citations per year, relative to Muhammad Yaqub Muhammad Yaqub (= 1×) peers Jie Yan

Countries citing papers authored by Muhammad Yaqub

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Yaqub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Yaqub

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

All Works

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20 of 20 papers shown

Nawaz, Muhammad Zubair, Waqas Ahmad, Umer Younis, et al.. (2025). Broadband and low-light photodetection in a flexible 2D Ti₃C₂Tₓ MXene/1D-SbSI nanowire heterojunction photodetector. Materials Research Bulletin. 193. 113648–113648. 3 indexed citations

He, Lan, et al.. (2025). Artificial intelligence in agriculture: Advancing crop productivity and sustainability. Journal of Agriculture and Food Research. 20. 101762–101762. 22 indexed citations breakdown →

Feng, Jinchao, et al.. (2024). Multi-scale and multi-path cascaded convolutional network for semantic segmentation of colorectal polyps. Alexandria Engineering Journal. 105. 341–359. 5 indexed citations

Feng, Jinchao, et al.. (2024). ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models. 1–5.

Nawaz, Qamar, et al.. (2024). A Novel Multi-Scale Deep Learning Approach for the Early Detection of Alzheimer’s Disease Using fMRI. 85–90. 1 indexed citations

Li, Jing, et al.. (2024). Investigation of entropy generation in power law fluid-filled bulging enclosures: effects of flow and heat transfer. SHILAP Revista de lepidopterología. 18(1). 1 indexed citations

Yaqub, Muhammad, et al.. (2024). Intelligent breast cancer diagnosis with two-stage using mammogram images. Scientific Reports. 14(1). 16672–16672. 7 indexed citations

Li, Jing, et al.. (2023). Heat Transfer Investigation in Plus-Shaped Enclosure Using Power Law Fluid: A Finite Element Approach. Applied Sciences. 13(19). 11042–11042. 4 indexed citations

Zia, M. Sultan, Zaka Ur Rehman, Muhammad Yaqub, et al.. (2023). Contextual information extraction in brain tumour segmentation. IET Image Processing. 17(12). 3371–3391. 4 indexed citations

10.

Yaqub, Muhammad, Jinchao Feng, Kaleem Arshid, et al.. (2022). Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities. Computational and Mathematical Methods in Medicine. 2022. 1–18. 42 indexed citations

11.

Mehmood, Atif, Shuyuan Yang, Zhixi Feng, et al.. (2021). A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images. Neuroscience. 460. 43–52. 190 indexed citations breakdown →

12.

Arshid, Kaleem, et al.. (2020). Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis. BMC Medical Informatics and Decision Making. 20(1). 217–217. 1 indexed citations

13.

Arshid, Kaleem, et al.. (2020). Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis. BMC Medical Informatics and Decision Making. 20(1). 177–177. 39 indexed citations

14.

Rehman, Zaka Ur, M. Sultan Zia, Giridhar Reddy Bojja, et al.. (2020). Texture based localization of a brain tumor from MR-images by using a machine learning approach. Medical Hypotheses. 141. 109705–109705. 57 indexed citations

15.

Yaqub, Muhammad, Jinchao Feng, M. Sultan Zia, et al.. (2020). State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images. Brain Sciences. 10(7). 427–427. 134 indexed citations

16.

Yaqub, Muhammad, Iqbal Gondal, & Joarder Kamruzzaman. (2013). An Adaptive Self-Configuration Scheme for Severity Invariant Machine Fault Diagnosis. IEEE Transactions on Reliability. 62(1). 160–170. 3 indexed citations

17.

Yaqub, Muhammad, Iqbal Gondal, & Joarder Kamruzzaman. (2012). Machine Health Monitoring based on Stationary Wavelet Transform and Fourth-Order Cumulants. Australian Journal of Electrical & Electronics Engineering. 9(1). 55–64. 1 indexed citations

18.

Yaqub, Muhammad, Iqbal Gondal, & Joarder Kamruzzaman. (2012). Multi-step support vector regression and optimally parameterized wavelet packet transform for machine residual life prediction. Journal of Vibration and Control. 19(7). 963–974. 15 indexed citations

19.

Yaqub, Muhammad, Iqbal Gondal, & Joarder Kamruzzaman. (2011). Severity invariant feature selection for machine health monitoring. International Review of Electrical Engineering (IREE). 6(1). 238–248. 9 indexed citations

20.

Yaqub, Muhammad, Iqbal Gondal, & Joarder Kamruzzaman. (2011). Severity invariant machine fault diagnosis. FedUni ResearchOnline (Federation University Australia). 14. 21–26. 7 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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