Can Yang
Impact in
- Computational Mathematics top 1%
-
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image Enhancement Techniques
Papers in
- Genetics 20
- Genetic Associations and Epidemiology 16
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 5
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 5
- Co-authors
- Weichuan Yu (7 shared papers)Hongyu Zhao (21 shared papers)Xiaowei Zhou (3 shared papers)Joel Gelernter (7 shared papers)Cong Li (7 shared papers)Dongjun Chung (2 shared papers)Xiaowei Zhou (1 shared paper)Henry R. Kranzler (3 shared papers)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (5 papers)Human Genetics (4 papers)Bioinformatics (2 papers)Genetic Epidemiology (2 papers)Neurocomputing (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Can Yang
38 papers receiving 1.6k citations
Can Yang's Hit Papers
Peers
Comparison fields: 5 of 132
- Computational Mathematics 81
- Computer Vision and Pattern Recognition 588
- Genetics 475
- Biological Psychiatry 33
- Computational Mechanics 269
Countries citing papers authored by Can Yang
This map shows the geographic impact of Can Yang'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 Can Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Yang more than expected).
Fields of papers citing papers by Can Yang
This network shows the impact of papers produced by Can Yang. 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 Can Yang. The network helps show where Can Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Yang, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation Hit paper breakdown → | 2012 | 483 |
| 2 | 2014 | 156 | |
| 3 | 2014 | 124 | |
| 4 | 2013 | 111 | |
| 5 | 2017 | 111 | |
| 6 | Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements | 2016 | 84 |
| 7 | 2013 | 60 | |
| 8 | 2015 | 51 | |
| 9 | 2014 | 42 | |
| 10 | 2015 | 38 | |
| 11 | 2016 | 35 | |
| 12 | 2014 | 29 | |
| 13 | 2013 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2017 | 25 | |
| 16 | 2012 | 21 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 2015 | 17 |
About Can Yang
Can Yang is a scholar working on Genetics, Molecular Biology, Computer Vision and Pattern Recognition, Computational Mechanics and Spectroscopy, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Computational Mathematics (81 citations), Computer Vision and Pattern Recognition (588 citations), Genetics (475 citations), Biological Psychiatry (33 citations) and Computational Mechanics (269 citations). Can Yang has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Weichuan Yu, Hongyu Zhao, Xiaowei Zhou, Joel Gelernter, Cong Li, Dongjun Chung, Xiaowei Zhou, Henry R. Kranzler, Lindsay A. Farrer and Qian Wang. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Human Genetics, Bioinformatics, Genetic Epidemiology and Neurocomputing.
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.