Muhammad Adnan Khan
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Sagheer AbbasTaher M. GhazalMunir AhmadAreej FatimaAbdur RehmanMuzammil HussainShahan Yamin SiddiquiMuhammad Waqas Nadeem
- Topics
- AI in cancer detection (29 papers)Artificial Intelligence in Healthcare (24 papers)COVID-19 diagnosis using AI (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanSouth KoreaSaudi Arabia
In The Last Decade
Muhammad Adnan Khan
258 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 2.3k
- Information Systems 1.3k
- Computer Networks and Communications 1.3k
- Computer Vision and Pattern Recognition 1.0k
- Radiology, Nuclear Medicine and Imaging 955
Countries citing papers authored by Muhammad Adnan Khan
This map shows the geographic impact of Muhammad Adnan 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 Adnan 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 Adnan Khan more than expected).
Fields of papers citing papers by Muhammad Adnan Khan
This network shows the impact of papers produced by Muhammad Adnan 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 Adnan Khan. The network helps show where Muhammad Adnan Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Adnan Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Adnan Khan. A scholar is included among the top collaborators of Muhammad Adnan 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 Adnan Khan. Muhammad Adnan 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 | 11 | |
| 2 | Smart buildings: Federated learning-driven secure, transparent and smart energy management system using XAIbreakdown → | 14 |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 31 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 50 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 67 | |
| 19 | 9 | |
| 20 | 0 |
About Muhammad Adnan Khan
Muhammad Adnan Khan is a scholar working on Health Information Management, Artificial Intelligence and Orthodontics, having authored 280 papers that have together received 7.3k indexed citations. Recurring topics across this work include AI in cancer detection (29 papers), Artificial Intelligence in Healthcare (24 papers) and COVID-19 diagnosis using AI (24 papers). The work is most often cited by research in Health Information Management (602 citations), Artificial Intelligence (2.3k citations) and Health Informatics (84 citations). Muhammad Adnan Khan has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Sagheer Abbas, Taher M. Ghazal, Munir Ahmad, Areej Fatima, Abdur Rehman, Muzammil Hussain, Shahan Yamin Siddiqui, Muhammad Waqas Nadeem, Atta Rahman and Mohammed A. Al Ghamdi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.