Weichuan Yu
Impact in
- Computational Mathematics top 5%
-
- Video Surveillance and Tracking Methods
Papers in
- Spectroscopy 32
- Advanced Proteomics Techniques and Applications 32
- Mass Spectrometry Techniques and Applications 24
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- Medical Image Segmentation Techniques 9
- Co-authors
- Zengyou HeCan YangXiaowei ZhouXiang WanQiang YangHong XueNelson L.S. TangChao Yang
- Journals
- Bioinformatics (12 papers)BMC Bioinformatics (10 papers)Journal of Proteome Research (7 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (7 papers)Briefings in Bioinformatics (3 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Weichuan Yu
94 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computational Mathematics 35
- Computer Vision and Pattern Recognition 760
- Genetics 790
- Spectroscopy 431
- Molecular Biology 1.4k
Countries citing papers authored by Weichuan Yu
This map shows the geographic impact of Weichuan 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 Weichuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichuan Yu more than expected).
Fields of papers citing papers by Weichuan Yu
This network shows the impact of papers produced by Weichuan 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 Weichuan Yu. The network helps show where Weichuan Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weichuan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | Accelerating CARMA modeling with Gaussian Processes | 2021 | 1 |
| 6 | 2018 | 15 | |
| 7 | 2017 | 41 | |
| 8 | 2016 | 15 | |
| 9 | 2012 | 19 | |
| 10 | 2012 | 88 | |
| 11 | 2011 | 9 | |
| 12 | 2011 | 8 | |
| 13 | 2011 | 3 | |
| 14 | Solving the Feature-Motion Decorrelation Problem in Ultrasound Speckle Tracking | 2010 | 1 |
| 15 | 2010 | 203 | |
| 16 | 2010 | 25 | |
| 17 | 2010 | 34 | |
| 18 | 2009 | 62 | |
| 19 | 2009 | 194 | |
| 20 | Rotated Wedge Averaging Method for Junction Classification | 1998 | 2 |
About Weichuan Yu
Weichuan Yu is a scholar working on Spectroscopy, Computer Vision and Pattern Recognition, Molecular Biology, Genetics and Aging, having authored 98 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (32 papers), Mass Spectrometry Techniques and Applications (24 papers), Metabolomics and Mass Spectrometry Studies (23 papers), Genetic Associations and Epidemiology (21 papers), Bioinformatics and Genomic Networks (14 papers), Machine Learning in Bioinformatics (12 papers), Gene expression and cancer classification (10 papers) and Medical Image Segmentation Techniques (9 papers). The work is most often cited by research in Computational Mathematics (35 citations), Computer Vision and Pattern Recognition (760 citations), Genetics (790 citations), Spectroscopy (431 citations) and Molecular Biology (1.4k citations). Weichuan Yu has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Zengyou He, Can Yang, Xiaowei Zhou, Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Nelson L.S. Tang, Chao Yang and Hongyu Zhao. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Journal of Proteome Research, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Briefings in Bioinformatics.
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.