Fuad Noman
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Functional Brain Connectivity Studies 9
- EEG and Brain-Computer Interfaces 3
- Co-authors
- Chee‐Ming Ting (13 shared papers)Hernando Ombao (10 shared papers)Chun‐Ren Phang (1 shared paper)Ammar Ahmed Alkahtani (7 shared papers)Gamal Alkawsi (6 shared papers)Janaka Ekanayake (3 shared papers)Raphaël C.‐W. Phan (9 shared papers)Hakmook Kang (1 shared paper)
- Journals
- IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Transactions on Medical Imaging (1 paper)Applied Sciences (1 paper)IEEE Access (1 paper)Journal of Computers in Education (1 paper)
- Partner nations
- MalaysiaSaudi ArabiaAustralia
In The Last Decade
Fuad Noman
19 papers receiving 284 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 154
- Energy Engineering and Power Technology 11
- Cardiology and Cardiovascular Medicine 49
- Neurology 16
- Media Technology 18
Countries citing papers authored by Fuad Noman
This map shows the geographic impact of Fuad Noman'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 Fuad Noman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuad Noman more than expected).
Fields of papers citing papers by Fuad Noman
This network shows the impact of papers produced by Fuad Noman. 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 Fuad Noman. The network helps show where Fuad Noman may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuad Noman, 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 | 2019 | 128 | |
| 2 | 2020 | 38 | |
| 3 | 2024 | 28 | |
| 4 | 2020 | 22 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2012 | 1 | |
| 20 | 2024 | 0 |
About Fuad Noman
Fuad Noman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 289 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Energy Load and Power Forecasting (3 papers), EEG and Brain-Computer Interfaces (3 papers), Phonocardiography and Auscultation Techniques (3 papers), Vehicle License Plate Recognition (2 papers), Wind Energy Research and Development (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Cognitive Neuroscience (154 citations), Energy Engineering and Power Technology (11 citations), Cardiology and Cardiovascular Medicine (49 citations), Neurology (16 citations) and Media Technology (18 citations). Fuad Noman has collaborated with scholars based in Malaysia, Saudi Arabia and Australia. Frequent co-authors include Chee‐Ming Ting, Hernando Ombao, Chun‐Ren Phang, Ammar Ahmed Alkahtani, Gamal Alkawsi, Janaka Ekanayake, Raphaël C.‐W. Phan, Hakmook Kang, Ahmed Ibrahim Alzahrani and Nasser Alalwan. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Medical Imaging, Applied Sciences, IEEE Access and Journal of Computers in Education.
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.