Sana Ullah Khan
- Artificial Intelligence top 10%
- AI in cancer detection 5
-
- Genetics and Plant Breeding 4
- Smart Agriculture and AI 3
- Weed Control and Herbicide Applications 2
-
- Digital Imaging for Blood Diseases 3
-
- Genetic Mapping and Diversity in Plants and Animals 3
-
- Agronomic Practices and Intercropping Systems 3
-
- Smart Systems and Machine Learning 2
- Co-authors
- Naveed IslamMaryam BashirМuhammad AbidMuhammad AdnanShafaq MussadiqAsad HabibZahoor JanAtif Khan
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Sana Ullah Khan
28 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computer Science Applications 102
- Health Information Management 31
- Health Informatics 8
- Artificial Intelligence 147
- Hepatology 36
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
The 25 scholars most cited alongside Sana Ullah Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 0 | |
| 10 | Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Modelsbreakdown → | 2021 | 125 |
| 11 | 2021 | 1 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 3 | |
| 15 | 2019 | 59 | |
| 16 | 2018 | 2 | |
| 17 | 2017 | 10 | |
| 18 | 2014 | 2 | |
| 19 | 2011 | 41 | |
| 20 | 2011 | 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), Digital Imaging for Blood Diseases (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Smart Agriculture and AI (3 papers), Agronomic Practices and Intercropping Systems (3 papers), Weed Control and Herbicide Applications (2 papers) and Smart Systems and Machine Learning (2 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.