Muhammad Yaqub
- Neurology top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Atif MehmoodJinchao FengKaleem ArshidIqbal GondalJoarder KamruzzamanM. Sultan ZiaZaka Ur RehmanRizwan Khan
- Topics
- Machine Fault Diagnosis Techniques (9 papers)Fault Detection and Control Systems (8 papers)Engineering Diagnostics and Reliability (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsNeuroscience
In The Last Decade
Muhammad Yaqub
45 papers receiving 829 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Neurology 252
- Artificial Intelligence 222
- Computer Vision and Pattern Recognition 165
- Radiology, Nuclear Medicine and Imaging 142
- Control and Systems Engineering 122
Countries citing papers authored by Muhammad Yaqub
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Artificial intelligence in agriculture: Advancing crop productivity and sustainabilitybreakdown → | 22 |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 42 | |
| 11 | A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Imagesbreakdown → | 190 |
| 12 | 1 | |
| 13 | 39 | |
| 14 | 57 | |
| 15 | 134 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | Severity invariant feature selection for machine health monitoring | 9 |
| 20 | 7 |
About Muhammad Yaqub
Muhammad Yaqub is a scholar working on Health Informatics, Neurology and Control and Systems Engineering, having authored 46 papers that have together received 856 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (8 papers) and Engineering Diagnostics and Reliability (6 papers). The work is most often cited by research in Neurology (252 citations), Health Information Management (52 citations) and Health Informatics (15 citations). Muhammad Yaqub has collaborated with scholars based in China, Pakistan and Australia. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neuroscience.
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.