Clive Cheong Took
- Signal Processing top 1%
- Computational Mechanics top 2%
- Applied Mathematics top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Danilo P. MandicCyrus JahanchahiFuzhen ZhangKazuyuki AiharaYili XiaGoran ŠtrbacS.C. DouglasMin Xiang
- Topics
- Advanced Adaptive Filtering Techniques (25 papers)Blind Source Separation Techniques (10 papers)Inertial Sensor and Navigation (10 papers)
- Journals
- IEEE Transactions on Signal ProcessingRenewable EnergyIEEE Transactions on Industrial Informatics
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Clive Cheong Took
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 76
- Signal Processing 616
- Computational Mechanics 543
- Applied Mathematics 404
- Computer Vision and Pattern Recognition 331
- Artificial Intelligence 330
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 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 146 | |
| 8 | 76 | |
| 9 | 47 | |
| 10 | 37 | |
| 11 | 9 | |
| 12 | 211 | |
| 13 | 17 | |
| 14 | 151 | |
| 15 | 19 | |
| 16 | 47 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 29 | |
| 20 | 252 |
About Clive Cheong Took
Clive Cheong Took is a scholar working on Signal Processing, Computational Mechanics and Applied Mathematics, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (25 papers), Blind Source Separation Techniques (10 papers) and Inertial Sensor and Navigation (10 papers). The work is most often cited by research in Computational Mathematics (35 citations), Signal Processing (616 citations) and Applied Mathematics (404 citations). Clive Cheong Took has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Danilo P. Mandic, Cyrus Jahanchahi, Fuzhen Zhang, Kazuyuki Aihara, Yili Xia, Goran Štrbac, S.C. Douglas, Min Xiang, Jacob Benesty and Mingxuan Wang. Their work appears in journals such as IEEE Transactions on Signal Processing, Renewable Energy and IEEE Transactions on Industrial Informatics.
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.