Laming Chen
Impact in
- Acoustics and Ultrasonics top 10%
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
- Advanced Adaptive Filtering Techniques
Papers in
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- Blind Source Separation Techniques 12
-
- Sparse and Compressive Sensing Techniques 20
- Advanced Adaptive Filtering Techniques 3
- Co-authors
- Yuantao Gu (21 shared papers)Jie Ding (2 shared papers)Yujie Tang (1 shared paper)Xinyue Shen (1 shared paper)Hing Cheung So (1 shared paper)Xiaohan Wang (1 shared paper)Jie Ding (1 shared paper)Jian Jin (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (5 papers)IEEE Signal Processing Letters (1 paper)Signal Processing (1 paper)Acta Horticulturae (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Laming Chen
26 papers receiving 281 citations
Peers
Comparison fields: 5 of 45
- Acoustics and Ultrasonics 15
- Computational Mechanics 214
- Signal Processing 88
- Computational Mathematics 2
- Biomedical Engineering 120
Countries citing papers authored by Laming Chen
This map shows the geographic impact of Laming Chen'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 Laming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laming Chen more than expected).
Fields of papers citing papers by Laming Chen
This network shows the impact of papers produced by Laming Chen. 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 Laming Chen. The network helps show where Laming Chen may publish in the future.
Co-authors
The 15 scholars most cited alongside Laming Chen, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2012 | 45 | |
| 3 | 2016 | 25 | |
| 4 | 2013 | 21 | |
| 5 | 2012 | 15 | |
| 6 | 2010 | 12 | |
| 7 | 2012 | 12 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 11 | |
| 10 | 2015 | 9 | |
| 11 | 2015 | 8 | |
| 12 | 2013 | 7 | |
| 13 | 2012 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2013 | 3 |
About Laming Chen
Laming Chen is a scholar working on Signal Processing, Computational Mechanics, Biomedical Engineering, Computer Networks and Communications and Acoustics and Ultrasonics, having authored 26 papers that have together received 287 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (20 papers), Blind Source Separation Techniques (12 papers), Microwave Imaging and Scattering Analysis (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Advanced Adaptive Filtering Techniques (3 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Horticultural and Viticultural Research (2 papers) and Radar Systems and Signal Processing (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (15 citations), Computational Mechanics (214 citations), Signal Processing (88 citations), Computational Mathematics (2 citations) and Biomedical Engineering (120 citations). Laming Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuantao Gu, Jie Ding, Yujie Tang, Xinyue Shen, Hing Cheung So, Xiaohan Wang, Jie Ding, Jian Jin, Petros T. Boufounos and Jinye Zhang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, Signal Processing and Acta Horticulturae.
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.