Ke-Lin Du
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Signal Processing top 5%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
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- Neural Networks and Applications 10
- Anomaly Detection Techniques and Applications 3
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- Face and Expression Recognition 4
- Video Surveillance and Tracking Methods 3
- Co-authors
- M. N. S. Swamy (6 shared papers)M. N. S. Swamy (1 shared paper)M.N.S. Swamy (10 shared papers)Wai Ho Mow (4 shared papers)Hui Wang (3 shared papers)Kuang‐Wei Cheng (3 shared papers)Jiabin Lu (5 shared papers)Chi-Sing Leung (1 shared paper)
In The Last Decade
Ke-Lin Du
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 557
- Signal Processing 186
- Computer Networks and Communications 238
- Computer Vision and Pattern Recognition 205
- Control and Systems Engineering 227
Countries citing papers authored by Ke-Lin Du
This map shows the geographic impact of Ke-Lin Du'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 Ke-Lin Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke-Lin Du more than expected).
Fields of papers citing papers by Ke-Lin Du
This network shows the impact of papers produced by Ke-Lin Du. 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 Ke-Lin Du. The network helps show where Ke-Lin Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke-Lin Du, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 246 | |
| 2 | 2006 | 237 | |
| 3 | 2016 | 214 | |
| 4 | 2009 | 210 | |
| 5 | 2012 | 169 | |
| 6 | 2016 | 114 | |
| 7 | 2019 | 104 | |
| 8 | 2010 | 81 | |
| 9 | 2002 | 79 | |
| 10 | 2010 | 68 | |
| 11 | 2010 | 60 | |
| 12 | 2022 | 48 | |
| 13 | 2012 | 27 | |
| 14 | 2011 | 23 | |
| 15 | 2015 | 23 | |
| 16 | 2013 | 22 | |
| 17 | 2004 | 22 | |
| 18 | 2004 | 17 | |
| 19 | 2023 | 15 | |
| 20 | 2023 | 14 |
About Ke-Lin Du
Ke-Lin Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering and Computational Mechanics, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Blind Source Separation Techniques (6 papers), Advanced Adaptive Filtering Techniques (5 papers), Speech and Audio Processing (5 papers), Face and Expression Recognition (4 papers), Direction-of-Arrival Estimation Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (557 citations), Signal Processing (186 citations), Computer Networks and Communications (238 citations), Computer Vision and Pattern Recognition (205 citations) and Control and Systems Engineering (227 citations). Ke-Lin Du has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include M. N. S. Swamy, M. N. S. Swamy, M.N.S. Swamy, Wai Ho Mow, Hui Wang, Kuang‐Wei Cheng, Jiabin Lu, Chi-Sing Leung, Limin Meng and Yue Wu. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Neural Networks, IEEE Transactions on Aerospace and Electronic Systems, IEEE Internet of Things Journal and Signal Processing.
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.