Muhammad Mohsin Khan
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Ihsan Ul HaqQianni ZhangAbdul BasitWasim KhanIjaz Mansoor QureshiMuhammad AdilAhmed FaroukMuhammad Attique
- Topics
- AI in cancer detection (3 papers)Transition Metal Oxide Nanomaterials (3 papers)Advanced SAR Imaging Techniques (3 papers)
- Partner nations
- PakistanUnited StatesSaudi Arabia
In The Last Decade
Muhammad Mohsin Khan
24 papers receiving 580 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 177
- Radiology, Nuclear Medicine and Imaging 135
- Aerospace Engineering 117
- Electrical and Electronic Engineering 103
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Muhammad Mohsin Khan
This map shows the geographic impact of Muhammad Mohsin Khan'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 Mohsin Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Mohsin Khan more than expected).
Fields of papers citing papers by Muhammad Mohsin Khan
This network shows the impact of papers produced by Muhammad Mohsin Khan. 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 Mohsin Khan. The network helps show where Muhammad Mohsin Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Mohsin Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Mohsin Khan. A scholar is included among the top collaborators of Muhammad Mohsin Khan 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 Mohsin Khan. Muhammad Mohsin Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 32 | |
| 12 | 21 | |
| 13 | 26 | |
| 14 | 27 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 37 | |
| 18 | 58 | |
| 19 | 1 | |
| 20 | 1 |
About Muhammad Mohsin Khan
Muhammad Mohsin Khan is a scholar working on Signal Processing, Aerospace Engineering and Neurology, having authored 26 papers that have together received 605 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Transition Metal Oxide Nanomaterials (3 papers) and Advanced SAR Imaging Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (135 citations), Artificial Intelligence (177 citations) and Aerospace Engineering (117 citations). Muhammad Mohsin Khan has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Ihsan Ul Haq, Qianni Zhang, Abdul Basit, Wasim Khan, Ijaz Mansoor Qureshi, Muhammad Adil, Ahmed Farouk, Muhammad Attique, Houbing Song and Muhammad Zaman. Their work appears in journals such as IEEE Access, Sensors and Journal of Alloys and Compounds.
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.