Bing‐Zhao Li
- Applied Mathematics top 0.5%
- Mathematical Analysis and Transform Methods 74
- Algebraic and Geometric Analysis 7
- Signal Processing top 1%
- Digital Filter Design and Implementation 40
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- Image and Signal Denoising Methods 80
- Media Technology top 5%
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- Machine Fault Diagnosis Techniques 8
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- Fractal and DNA sequence analysis 8
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- Advanced Graph Neural Networks 6
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- Sparse and Compressive Sensing Techniques 5
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Signal Processing (4 papers)
In The Last Decade
Bing‐Zhao Li
110 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 73
- Applied Mathematics 1.1k
- Signal Processing 684
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 89
- Control and Systems Engineering 169
Countries citing papers authored by Bing‐Zhao Li
This map shows the geographic impact of Bing‐Zhao 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 Bing‐Zhao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing‐Zhao Li more than expected).
Fields of papers citing papers by Bing‐Zhao Li
This network shows the impact of papers produced by Bing‐Zhao 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 Bing‐Zhao Li. The network helps show where Bing‐Zhao Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing‐Zhao 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 | 11 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 3 | |
| 15 | Windowed Fractional Fourier Transform on Graphs: Fractional Translation Operator and Hausdorff-Young Inequality | 2020 | 1 |
| 16 | 2019 | 5 | |
| 17 | Editorial, 2018 Issue 6: Theories and methods of signal processing in fractional Fourier domain | 2018 | 0 |
| 18 | 2018 | 5 | |
| 19 | 2016 | 0 | |
| 20 | 2014 | 2 |
About Bing‐Zhao Li
Bing‐Zhao Li is a scholar working on Applied Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 1.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (80 papers), Mathematical Analysis and Transform Methods (74 papers), Digital Filter Design and Implementation (40 papers), Fractal and DNA sequence analysis (8 papers), Machine Fault Diagnosis Techniques (8 papers), Algebraic and Geometric Analysis (7 papers), Advanced Graph Neural Networks (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Signal Processing (684 citations) and Computer Vision and Pattern Recognition (1.2k citations). Bing‐Zhao Li has collaborated with scholars based in China, Pakistan and Spain. Frequent co-authors include Ran Tao, Yue Wang, Tianzhou Xu, Yue Wang, Yue Wang, Huafei Sun, Mengmeng Li, Navdeep Goel, Min Qi and Yue Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.