Saqib Ali
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Marketing
- Co-authors
- Jianqiang LiYan PeiKhalil Ur RehmanTariq MahmoodZeeshan ShaukatMuhammad AzeemAbdulkareem AlzahraniGuangmin Sun
- Topics
- Brain Tumor Detection and Classification (7 papers)Advanced Neural Network Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Journals
- SensorsBMC BioinformaticsCancers
In The Last Decade
Saqib Ali
12 papers receiving 234 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 102
- Radiology, Nuclear Medicine and Imaging 90
- Neurology 82
- Computer Vision and Pattern Recognition 76
- Marketing 21
Countries citing papers authored by Saqib Ali
This map shows the geographic impact of Saqib Ali'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 Saqib Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saqib Ali more than expected).
Fields of papers citing papers by Saqib Ali
This network shows the impact of papers produced by Saqib Ali. 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 Saqib Ali. The network helps show where Saqib Ali may publish in the future.
Co-authorship network of co-authors of Saqib Ali
This figure shows the co-authorship network connecting the top 25 collaborators of Saqib Ali. A scholar is included among the top collaborators of Saqib Ali 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 Saqib Ali. Saqib Ali 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 | 11 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 60 | |
| 7 | 24 | |
| 8 | 21 | |
| 9 | 20 | |
| 10 | 48 | |
| 11 | 30 | |
| 12 | 1 | |
| 13 | 7 |
About Saqib Ali
Saqib Ali is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 244 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), Advanced Neural Network Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Neurology (82 citations), Health Informatics (7 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). Saqib Ali has collaborated with scholars based in China, Pakistan and Japan. Frequent co-authors include Jianqiang Li, Yan Pei, Khalil Ur Rehman, Tariq Mahmood, Zeeshan Shaukat, Muhammad Azeem, Abdulkareem Alzahrani, Guangmin Sun, Shanshan Tu and Abdullah Almuhaimeed. Their work appears in journals such as Sensors, BMC Bioinformatics and Cancers.
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.