Sana Ullah Khan
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Naveed IslamMaryam BashirМuhammad AbidMuhammad AdnanShafaq MussadiqAsad HabibZahoor JanAtif Khan
- Topics
- AI in cancer detection (5 papers)Genetics and Plant Breeding (4 papers)Digital Imaging for Blood Diseases (3 papers)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Sana Ullah Khan
28 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 147
- Computer Science Applications 102
- Radiology, Nuclear Medicine and Imaging 62
- Computer Vision and Pattern Recognition 61
- Information Systems 54
Countries citing papers authored by Sana Ullah Khan
This map shows the geographic impact of Sana Ullah 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 Sana Ullah Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sana Ullah Khan more than expected).
Fields of papers citing papers by Sana Ullah Khan
This network shows the impact of papers produced by Sana Ullah 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 Sana Ullah Khan. The network helps show where Sana Ullah Khan may publish in the future.
Co-authorship network of co-authors of Sana Ullah Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Sana Ullah Khan. A scholar is included among the top collaborators of Sana Ullah 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 Sana Ullah Khan. Sana Ullah 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 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 35 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Modelsbreakdown → | 125 |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 59 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 41 | |
| 20 | 7 |
About Sana Ullah Khan
Sana Ullah Khan is a scholar working on Agronomy and Crop Science, Biophysics and Plant Science, having authored 34 papers that have together received 464 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Genetics and Plant Breeding (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Computer Science Applications (102 citations), Health Information Management (31 citations) and Health Informatics (8 citations). Sana Ullah Khan has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Naveed Islam, Maryam Bashir, Мuhammad Abid, Muhammad Adnan, Shafaq Mussadiq, Asad Habib, Zahoor Jan, Atif Khan, Ikram Ud Din and Yasir Faheem. Their work appears in journals such as IEEE Access, Frontiers in Plant Science and Materials.
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.