Mohammad Alkhaleefah
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Advanced Neural Network Applications 6
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- AI in cancer detection 4
- Co-authors
- Yang-Lang Chang (20 shared papers)Tan-Hsu Tan (12 shared papers)Lena Chang (10 shared papers)Chao-Cheng Wu (1 shared paper)Ying-Nong Chen (1 shared paper)Kuo‐Chin Fan (1 shared paper)Bormin Huang (3 shared papers)Yung-Fu Chen (1 shared paper)
In The Last Decade
Mohammad Alkhaleefah
22 papers receiving 259 citations
Peers
Comparison fields: 5 of 67
- Media Technology 49
- Health Informatics 6
- Neurology 26
- Radiology, Nuclear Medicine and Imaging 64
- Artificial Intelligence 97
Countries citing papers authored by Mohammad Alkhaleefah
This map shows the geographic impact of Mohammad Alkhaleefah'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 Mohammad Alkhaleefah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Alkhaleefah more than expected).
Fields of papers citing papers by Mohammad Alkhaleefah
This network shows the impact of papers produced by Mohammad Alkhaleefah. 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 Mohammad Alkhaleefah. The network helps show where Mohammad Alkhaleefah may publish in the future.
Co-authors
The 20 scholars most cited alongside Mohammad Alkhaleefah, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 60 | |
| 2 | 2018 | 28 | |
| 3 | 2021 | 26 | |
| 4 | 2020 | 21 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 1 |
About Mohammad Alkhaleefah
Mohammad Alkhaleefah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 269 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (4 papers), COVID-19 diagnosis using AI (3 papers), Smart Agriculture and AI (3 papers), Flood Risk Assessment and Management (2 papers), Advanced MIMO Systems Optimization (2 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Media Technology (49 citations), Health Informatics (6 citations), Neurology (26 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Artificial Intelligence (97 citations). Mohammad Alkhaleefah has collaborated with scholars based in Taiwan, Malaysia and China. Frequent co-authors include Yang-Lang Chang, Tan-Hsu Tan, Lena Chang, Chao-Cheng Wu, Ying-Nong Chen, Kuo‐Chin Fan, Bormin Huang, Yung-Fu Chen, Yi-Ting Chen and Joon Huang Chuah. Their work appears in journals such as Remote Sensing, Sensors, Cancers, IEEE Access and Applied Sciences.
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.