Sohaib Asif
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Topics
- Brain Tumor Detection and Classification (14 papers)AI in cancer detection (13 papers)COVID-19 diagnosis using AI (12 papers)
- Partner nations
- ChinaBangladeshSaudi Arabia
In The Last Decade
Sohaib Asif
42 papers receiving 789 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 356
- Radiology, Nuclear Medicine and Imaging 334
- Neurology 328
- Computer Vision and Pattern Recognition 303
- Biomedical Engineering 77
Countries citing papers authored by Sohaib Asif
This map shows the geographic impact of Sohaib Asif'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 Sohaib Asif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sohaib Asif more than expected).
Fields of papers citing papers by Sohaib Asif
This network shows the impact of papers produced by Sohaib Asif. 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 Sohaib Asif. The network helps show where Sohaib Asif may publish in the future.
Co-authorship network of co-authors of Sohaib Asif
This figure shows the co-authorship network connecting the top 25 collaborators of Sohaib Asif. A scholar is included among the top collaborators of Sohaib Asif 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 Sohaib Asif. Sohaib Asif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 41 | |
| 17 | 13 | |
| 18 | 17 | |
| 19 | 133 | |
| 20 | 18 |
About Sohaib Asif
Sohaib Asif is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 47 papers that have together received 822 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (14 papers), AI in cancer detection (13 papers) and COVID-19 diagnosis using AI (12 papers). The work is most often cited by research in Neurology (328 citations), Health Informatics (32 citations) and Computer Vision and Pattern Recognition (303 citations). Sohaib Asif has collaborated with scholars based in China, Bangladesh and Saudi Arabia. Frequent co-authors include Yusen Zhu, Ming Zhao, Wenhui Yi, Jinhai Si, Fengxiao Tang, Jin Hou, Xuehan Chen, Yi Tao, Ming Zhao and Saif Ur Rehman Khan. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neural Networks.
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.