Bin Yu
Impact in
- Media Technology top 0.2%
- Advanced Image Fusion Techniques
-
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
-
- Machine Learning in Bioinformatics 50
- RNA and protein synthesis mechanisms 26
- Genomics and Phylogenetic Studies 18
- Bioinformatics and Genomic Networks 14
- Gene expression and cancer classification 13
- Protein Structure and Dynamics 13
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- Advanced Neural Network Applications 9
- Co-authors
- Martin Vetterli (3 shared papers)Shih-Fu Chang (1 shared paper)Qin Ma (17 shared papers)Peter Bühlmann (2 shared papers)Peng Zhao (2 shared papers)Cheng Chen (6 shared papers)Qingmei Zhang (6 shared papers)Cheng Chen (14 shared papers)
- Journals
- Chemometrics and Intelligent Laboratory Systems (10 papers)Briefings in Bioinformatics (7 papers)Computers in Biology and Medicine (7 papers)Knowledge-Based Systems (5 papers)Biomedical Signal Processing and Control (5 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Bin Yu
150 papers receiving 6.4k citations
Bin Yu's Hit Papers
Peers
Comparison fields: 5 of 185
- Media Technology 1.2k
- Computer Vision and Pattern Recognition 2.2k
- Statistics and Probability 549
- Computational Theory and Mathematics 590
- Molecular Biology 2.2k
Countries citing papers authored by Bin Yu
This map shows the geographic impact of Bin Yu'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 Bin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yu more than expected).
Fields of papers citing papers by Bin Yu
This network shows the impact of papers produced by Bin Yu. 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 Bin Yu. The network helps show where Bin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Yu, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive wavelet thresholding for image denoising and compression Hit paper breakdown → | 2000 | 2068 |
| 2 | 2009 | 409 | |
| 3 | Analyzing bagging Hit paper breakdown → | 2002 | 371 |
| 4 | 2019 | 212 | |
| 5 | 2010 | 189 | |
| 6 | 2020 | 174 | |
| 7 | 2018 | 171 | |
| 8 | 2019 | 133 | |
| 9 | 2018 | 129 | |
| 10 | 2021 | 123 | |
| 11 | 2018 | 93 | |
| 12 | 2016 | 91 | |
| 13 | 2019 | 82 | |
| 14 | 2013 | 74 | |
| 15 | 2022 | 73 | |
| 16 | 2021 | 72 | |
| 17 | 2018 | 67 | |
| 18 | 2017 | 67 | |
| 19 | 2020 | 66 | |
| 20 | 2017 | 63 |
About Bin Yu
Bin Yu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, having authored 157 papers that have together received 6.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (50 papers), RNA and protein synthesis mechanisms (26 papers), Genomics and Phylogenetic Studies (18 papers), Bioinformatics and Genomic Networks (14 papers), Computational Drug Discovery Methods (14 papers), Gene expression and cancer classification (13 papers), Protein Structure and Dynamics (13 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Media Technology (1.2k citations), Computer Vision and Pattern Recognition (2.2k citations), Statistics and Probability (549 citations), Computational Theory and Mathematics (590 citations) and Molecular Biology (2.2k citations). Bin Yu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Martin Vetterli, Shih-Fu Chang, Qin Ma, Peter Bühlmann, Peng Zhao, Cheng Chen, Qingmei Zhang, Cheng Chen, Minghui Wang and Zhaomin Yu. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Briefings in Bioinformatics, Computers in Biology and Medicine, Knowledge-Based Systems and Biomedical Signal Processing and Control.
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.