Chunguang Li
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation 19
- Computer Networks and Communications top 0.5%
- Neural Networks Stability and Synchronization 25
- Distributed Sensor Networks and Detection Algorithms 21
- Modeling and Simulation top 0.5%
- Signal Processing top 1%
- Blind Source Separation Techniques 16
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- Advanced Adaptive Filtering Techniques 26
- Sparse and Compressive Sensing Techniques 19
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- Neural Networks and Applications 20
- Target Tracking and Data Fusion in Sensor Networks 15
- Co-authors
- Guanrong ChenYing LiuXiaofeng LiaoJuebang YuZhaoyang ZhangDaqing GuoRenè VidalZhaoting Liu
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
In The Last Decade
Chunguang Li
191 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Statistical and Nonlinear Physics 2.1k
- Computer Networks and Communications 2.7k
- Modeling and Simulation 501
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 548
Countries citing papers authored by Chunguang Li
This map shows the geographic impact of Chunguang 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 Chunguang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunguang Li more than expected).
Fields of papers citing papers by Chunguang Li
This network shows the impact of papers produced by Chunguang 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 Chunguang Li. The network helps show where Chunguang Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunguang 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 55 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 37 | |
| 13 | 2020 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 23 | |
| 16 | 2018 | 25 | |
| 17 | 2016 | 11 | |
| 18 | 2016 | 9 | |
| 19 | Study on fusion algorithms of SPOT-5 PAN and multi-spectral images | 2011 | 1 |
| 20 | A Hybrid Five-Point Finite Difference Scheme for Convection-Diffusion Equations | 2006 | 1 |
About Chunguang Li
Chunguang Li is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 201 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (26 papers), Neural Networks Stability and Synchronization (25 papers), Distributed Sensor Networks and Detection Algorithms (21 papers), Neural Networks and Applications (20 papers), Sparse and Compressive Sensing Techniques (19 papers), stochastic dynamics and bifurcation (19 papers), Blind Source Separation Techniques (16 papers) and Target Tracking and Data Fusion in Sensor Networks (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.1k citations), Computer Networks and Communications (2.7k citations) and Modeling and Simulation (501 citations). Chunguang Li has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Guanrong Chen, Ying Liu, Xiaofeng Liao, Juebang Yu, Zhaoyang Zhang, Daqing Guo, Renè Vidal, Zhaoting Liu, Pengcheng Shen and Kwok‐Wo Wong. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.