Clive Cheong Took
- Cognitive Neuroscience top 5%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Danilo P. MandicSaeid SaneiLoukianos SpyrouCheolsoo ParkCyrus JahanchahiShirin EnshaeifarAntonio Valentı́nDongpo Xu
- Topics
- Blind Source Separation Techniques (22 papers)EEG and Brain-Computer Interfaces (14 papers)Speech and Audio Processing (9 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSensorsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United KingdomUnited StatesQatar
In The Last Decade
Clive Cheong Took
33 papers receiving 682 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 408
- Signal Processing 274
- Artificial Intelligence 106
- Computational Mechanics 87
- Cellular and Molecular Neuroscience 85
Countries citing papers authored by Clive Cheong Took
This map shows the geographic impact of Clive Cheong Took'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 Clive Cheong Took with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clive Cheong Took more than expected).
Fields of papers citing papers by Clive Cheong Took
This network shows the impact of papers produced by Clive Cheong Took. 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 Clive Cheong Took. The network helps show where Clive Cheong Took may publish in the future.
Co-authorship network of co-authors of Clive Cheong Took
This figure shows the co-authorship network connecting the top 25 collaborators of Clive Cheong Took. A scholar is included among the top collaborators of Clive Cheong Took 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 Clive Cheong Took. Clive Cheong Took is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 65 | |
| 10 | 5 | |
| 11 | 82 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 24 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 3 |
About Clive Cheong Took
Clive Cheong Took is a scholar working on Signal Processing, Computational Mathematics and Cognitive Neuroscience, having authored 37 papers that have together received 697 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (22 papers), EEG and Brain-Computer Interfaces (14 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (274 citations), Cognitive Neuroscience (408 citations) and Computational Mathematics (12 citations). Clive Cheong Took has collaborated with scholars based in United Kingdom, United States and Qatar. Frequent co-authors include Danilo P. Mandic, Saeid Sanei, Loukianos Spyrou, Cheolsoo Park, Cyrus Jahanchahi, Shirin Enshaeifar, Antonio Valentı́n, Dongpo Xu, David Martín-López and Youngjoo Kim. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and IEEE Transactions on Neural Networks and Learning Systems.
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.