Muhammad Shaban
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Co-authors
- Abid UllahNasir RajpootAamir Hamid KhanFaisal MahmoodRichard J. ChenMing Y. LuDrew F. K. WilliamsonLongfu Zhu
- Journals
- Nature Medicine (2 papers)Scientific Reports (2 papers)Journal of environmental chemical engineering (2 papers)Plant Biotechnology Journal (2 papers)Cancer Cell (2 papers)
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Muhammad Shaban
49 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Health Informatics 212
- Radiology, Nuclear Medicine and Imaging 785
- Artificial Intelligence 914
- Plant Science 1.0k
- Otorhinolaryngology 119
Countries citing papers authored by Muhammad Shaban
This map shows the geographic impact of Muhammad Shaban'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 Shaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shaban more than expected).
Fields of papers citing papers by Muhammad Shaban
This network shows the impact of papers produced by Muhammad Shaban. 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 Shaban. The network helps show where Muhammad Shaban may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Shaban, 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 | 2024 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 42 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 20 | |
| 8 | Artificial intelligence for multimodal data integration in oncology Hit paper breakdown → | 2022 | 333 |
| 9 | 2021 | 17 | |
| 10 | 2021 | 31 | |
| 11 | 2021 | 95 | |
| 12 | 2020 | 42 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 104 | |
| 15 | 2019 | 23 | |
| 16 | 2018 | 34 | |
| 17 | 2017 | 88 | |
| 18 | 2017 | 77 | |
| 19 | 2014 | 56 | |
| 20 | The relation between the cancer characteristics and quality of life in the patients under chemotherapy | 2004 | 5 |
About Muhammad Shaban
Muhammad Shaban is a scholar working on Health Informatics, Horticulture, Otorhinolaryngology, Plant Science and Biophysics, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Plant-Microbe Interactions and Immunity (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Research in Cotton Cultivation (6 papers), Plant Virus Research Studies (5 papers), Insect-Plant Interactions and Control (4 papers), Cancer Genomics and Diagnostics (3 papers) and Plant Reproductive Biology (3 papers). The work is most often cited by research in Health Informatics (212 citations), Radiology, Nuclear Medicine and Imaging (785 citations), Artificial Intelligence (914 citations), Plant Science (1.0k citations) and Otorhinolaryngology (119 citations). Muhammad Shaban has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Abid Ullah, Nasir Rajpoot, Aamir Hamid Khan, Faisal Mahmood, Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Longfu Zhu, Syed Ali Khurram and Hakim Manghwar. Their work appears in journals such as Nature Medicine, Scientific Reports, Journal of environmental chemical engineering, Plant Biotechnology Journal and Cancer Cell.
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.