Changchun Bao
- Signal Processing top 1%
- Speech and Audio Processing 135
- Music and Audio Processing 34
- Blind Source Separation Techniques 30
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 80
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- Image and Signal Denoising Methods 14
- Advanced Data Compression Techniques 13
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 39
- Cognitive Neuroscience top 10%
- Hearing Loss and Rehabilitation 22
- Co-authors
- Maoshen JiaChristian RitzXin LiuXianhong ChenW. Bastiaan KleijnYan LiuBing BuShengjing Tang
- Partner nations
- ChinaAustraliaNew Zealand
In The Last Decade
Changchun Bao
137 papers receiving 762 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 657
- Computational Mechanics 314
- Computer Vision and Pattern Recognition 155
- Artificial Intelligence 226
- Cognitive Neuroscience 127
Countries citing papers authored by Changchun Bao
This map shows the geographic impact of Changchun Bao'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 Changchun Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changchun Bao more than expected).
Fields of papers citing papers by Changchun Bao
This network shows the impact of papers produced by Changchun Bao. 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 Changchun Bao. The network helps show where Changchun Bao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changchun Bao, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 2 | |
| 11 | 2016 | 2 | |
| 12 | The Musical Instrument Classification Algorithm Based on Nonlinear Dynamics | 2012 | 1 |
| 13 | Intelligent control and implementation of a new type constant temperature and humidity box | 2010 | 0 |
| 14 | A novel super-wideband embedded speech and audio codec based on ITU-T Recommendation G.729.1 | 2009 | 2 |
| 15 | 2009 | 3 | |
| 16 | 2009 | 5 | |
| 17 | Unequal Coefficients Interframe Predictive Split Vector Quantizer for Wideband ISF Parameters | 2008 | 0 |
| 18 | A Speech Endpoint Detection Algorithm Based on the Band-partitioning Spectral Entropy and Spectral Energy | 2007 | 4 |
| 19 | 2007 | 9 | |
| 20 | A Method for Voiced/Unvoiced/Silence Classification of Speech with Noise Using SVM | 2006 | 2 |
About Changchun Bao
Changchun Bao is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 159 papers that have together received 796 indexed citations. Recurring topics across this work include Speech and Audio Processing (135 papers), Advanced Adaptive Filtering Techniques (80 papers), Speech Recognition and Synthesis (39 papers), Music and Audio Processing (34 papers), Blind Source Separation Techniques (30 papers), Hearing Loss and Rehabilitation (22 papers), Image and Signal Denoising Methods (14 papers) and Advanced Data Compression Techniques (13 papers). The work is most often cited by research in Signal Processing (657 citations), Computational Mechanics (314 citations) and Computer Vision and Pattern Recognition (155 citations). Changchun Bao has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Maoshen Jia, Christian Ritz, Xin Liu, Xianhong Chen, W. Bastiaan Kleijn, Yan Liu, Bing Bu, Shengjing Tang, Yao Huang and Yan Yang.
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.