Xiao Peng Li
- Computational Mathematics top 5%
- Tensor decomposition and applications 3
- Signal Processing top 10%
- Blind Source Separation Techniques 9
- Direction-of-Arrival Estimation Techniques 7
- Speech and Audio Processing 6
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 22
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- Image and Signal Denoising Methods 11
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- Indoor and Outdoor Localization Technologies 5
- Advanced Battery Materials and Technologies 3
- Journals
- Scientific Reports (1 paper)The Journal of Physical Chemistry C (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiao Peng Li
59 papers receiving 487 citations
Peers
Comparison fields: 5 of 80
- Computational Mathematics 38
- Signal Processing 95
- Computational Mechanics 122
- Computer Vision and Pattern Recognition 120
- Nuclear Energy and Engineering 2
Countries citing papers authored by Xiao Peng Li
This map shows the geographic impact of Xiao Peng Li'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 Xiao Peng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Peng Li more than expected).
Fields of papers citing papers by Xiao Peng Li
This network shows the impact of papers produced by Xiao Peng Li. 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 Xiao Peng Li. The network helps show where Xiao Peng Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao Peng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 7 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 17 | |
| 18 | 2020 | 18 | |
| 19 | A Linear-Time Sweeping Algorithm for Discretization of Continuum Approximation for Network Location Problems | 2019 | 1 |
| 20 | 2013 | 1 |
About Xiao Peng Li
Xiao Peng Li is a scholar working on Computational Mathematics, Signal Processing and Computational Mechanics, having authored 68 papers that have together received 497 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (22 papers), Image and Signal Denoising Methods (11 papers), Blind Source Separation Techniques (9 papers), Direction-of-Arrival Estimation Techniques (7 papers), Speech and Audio Processing (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Tensor decomposition and applications (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Computational Mathematics (38 citations), Signal Processing (95 citations) and Computational Mechanics (122 citations). Xiao Peng Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hing Cheung So, Qi Liu, Hui Cao, Chi-Sing Leung, Qi Cui, Tadesse Weldu Teklu, Hazim Abass, Fangqiu Xu, Yuntao Wu and Jicheng Yang. Their work appears in journals such as Scientific Reports, The Journal of Physical Chemistry C and IEEE Transactions on Geoscience and Remote Sensing.
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.