Faheem Khan
Impact in
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- Artificial Intelligence in Healthcare
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
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- IoT and Edge/Fog Computing 17
- Energy Efficient Wireless Sensor Networks 7
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- Software Engineering Techniques and Practices 7
- Blockchain Technology Applications and Security 5
- Co-authors
- Thomas Thundat (18 shared papers)Keren Jiang (6 shared papers)Zhi Li (5 shared papers)Jun Liu (5 shared papers)Ankur Goswami (5 shared papers)Taeg Keun Whangbo (14 shared papers)Youngmoon Lee (14 shared papers)Muhammad Adnan Khan (8 shared papers)
- Journals
- IEEE Access (16 papers)Sensors (16 papers)Computers, materials & continua/Computers, materials & continua (Print) (8 papers)Scientific Reports (4 papers)Cognition Technology & Work (3 papers)
- Partner nations
- South KoreaPakistanSaudi Arabia
In The Last Decade
Faheem Khan
116 papers receiving 2.3k citations
Faheem Khan's Hit Papers
Peers
Comparison fields: 5 of 159
- Health Information Management 120
- Polymers and Plastics 316
- Computer Networks and Communications 480
- Neurology 147
- Information Systems 338
Countries citing papers authored by Faheem Khan
This map shows the geographic impact of Faheem 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 Faheem Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faheem Khan more than expected).
Fields of papers citing papers by Faheem Khan
This network shows the impact of papers produced by Faheem 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 Faheem Khan. The network helps show where Faheem Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Faheem 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
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 269 | |
| 2 | Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images Hit paper breakdown → | 2023 | 119 |
| 3 | 2018 | 118 | |
| 4 | 2022 | 89 | |
| 5 | 2022 | 77 | |
| 6 | 2023 | 74 | |
| 7 | 2019 | 68 | |
| 8 | 2019 | 65 | |
| 9 | 2019 | 61 | |
| 10 | 2022 | 55 | |
| 11 | 2022 | 51 | |
| 12 | 2022 | 49 | |
| 13 | 2022 | 45 | |
| 14 | 2021 | 45 | |
| 15 | 2023 | 38 | |
| 16 | 2022 | 36 | |
| 17 | 2022 | 36 | |
| 18 | 2017 | 35 | |
| 19 | 2023 | 35 | |
| 20 | 2024 | 33 |
About Faheem Khan
Faheem Khan is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 2.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (17 papers), Mechanical and Optical Resonators (11 papers), Energy Efficient Wireless Sensor Networks (7 papers), Software Engineering Techniques and Practices (7 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), COVID-19 diagnosis using AI (6 papers), Force Microscopy Techniques and Applications (5 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Health Information Management (120 citations), Polymers and Plastics (316 citations), Computer Networks and Communications (480 citations), Neurology (147 citations) and Information Systems (338 citations). Faheem Khan has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Thomas Thundat, Keren Jiang, Zhi Li, Jun Liu, Ankur Goswami, Taeg Keun Whangbo, Youngmoon Lee, Muhammad Adnan Khan, Ryan McGee and Jawad Khan. Their work appears in journals such as IEEE Access, Sensors, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports and Cognition Technology & Work.
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.