Xiaoping Lai
Impact in
- Signal Processing top 1%
- Digital Filter Design and Implementation
- Blind Source Separation Techniques
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques
Papers in
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- Digital Filter Design and Implementation 55
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- Advanced Adaptive Filtering Techniques 54
- Co-authors
- Jiuwen Cao (42 shared papers)Zhiping Lin (31 shared papers)Minxia Luo (2 shared papers)Chun Yin (3 shared papers)Tianlei Wang (15 shared papers)Junbiao Liu (3 shared papers)Dinghan Hu (7 shared papers)Jianzhong Wang (2 shared papers)
In The Last Decade
Xiaoping Lai
104 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Signal Processing 524
- Computational Mechanics 371
- Artificial Intelligence 576
- Computer Vision and Pattern Recognition 353
- Cognitive Neuroscience 270
Countries citing papers authored by Xiaoping Lai
This map shows the geographic impact of Xiaoping Lai'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 Xiaoping Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Lai more than expected).
Fields of papers citing papers by Xiaoping Lai
This network shows the impact of papers produced by Xiaoping Lai. 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 Xiaoping Lai. The network helps show where Xiaoping Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping Lai, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 192 | |
| 2 | 2016 | 88 | |
| 3 | 2019 | 77 | |
| 4 | 2015 | 74 | |
| 5 | 2020 | 63 | |
| 6 | 2016 | 60 | |
| 7 | 2017 | 60 | |
| 8 | 2018 | 54 | |
| 9 | 2009 | 54 | |
| 10 | 2010 | 36 | |
| 11 | 2020 | 34 | |
| 12 | 2018 | 33 | |
| 13 | 2019 | 32 | |
| 14 | 2017 | 30 | |
| 15 | 2015 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2010 | 25 | |
| 18 | 2016 | 24 | |
| 19 | 2020 | 24 | |
| 20 | 2007 | 23 |
About Xiaoping Lai
Xiaoping Lai is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence and Civil and Structural Engineering, having authored 111 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (55 papers), Advanced Adaptive Filtering Techniques (54 papers), Image and Signal Denoising Methods (34 papers), Machine Learning and ELM (22 papers), Structural Health Monitoring Techniques (16 papers), Domain Adaptation and Few-Shot Learning (10 papers), Control Systems and Identification (10 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Signal Processing (524 citations), Computational Mechanics (371 citations), Artificial Intelligence (576 citations), Computer Vision and Pattern Recognition (353 citations) and Cognitive Neuroscience (270 citations). Xiaoping Lai has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Jiuwen Cao, Zhiping Lin, Minxia Luo, Chun Yin, Tianlei Wang, Junbiao Liu, Dinghan Hu, Jianzhong Wang, Badong Chen and Wenbin Hu. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Circuits & Systems II Express Briefs, Multidimensional Systems and Signal Processing, IEEE Signal Processing Letters and Journal of the Franklin Institute.
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.