Boying Wu
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
Papers in
-
- Image and Signal Denoising Methods 37
- Medical Image Segmentation Techniques 33
- Advanced Image Processing Techniques 14
-
- Differential Equations and Numerical Methods 23
- Numerical methods for differential equations 13
- Co-authors
- Yunyun Yang (22 shared papers)Junping Shi (3 shared papers)Zhichang Guo (24 shared papers)Dazhi Zhang (32 shared papers)Sainan Wu (3 shared papers)Xiong Meng (11 shared papers)Jiebao Sun (19 shared papers)Chi‐Wang Shu (3 shared papers)
- Journals
- Journal of Scientific Computing (8 papers)Journal of Mathematical Analysis and Applications (5 papers)Applied Numerical Mathematics (5 papers)Mathematical Methods in the Applied Sciences (5 papers)Abstract and Applied Analysis (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Boying Wu
115 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 373
- Numerical Analysis 244
- Computer Vision and Pattern Recognition 594
- Media Technology 197
- Computational Mechanics 303
Countries citing papers authored by Boying Wu
This map shows the geographic impact of Boying Wu'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 Boying Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boying Wu more than expected).
Fields of papers citing papers by Boying Wu
This network shows the impact of papers produced by Boying Wu. 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 Boying Wu. The network helps show where Boying Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Boying Wu, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 199 | |
| 2 | 2011 | 99 | |
| 3 | 2015 | 89 | |
| 4 | 2013 | 68 | |
| 5 | 2010 | 68 | |
| 6 | 2014 | 57 | |
| 7 | 2012 | 57 | |
| 8 | 2019 | 42 | |
| 9 | 2021 | 41 | |
| 10 | 2022 | 34 | |
| 11 | 2011 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2012 | 25 | |
| 16 | 2015 | 24 | |
| 17 | 2014 | 21 | |
| 18 | 2017 | 17 | |
| 19 | 2012 | 17 | |
| 20 | 2020 | 17 |
About Boying Wu
Boying Wu is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis, Modeling and Simulation, Computational Mechanics and Media Technology, having authored 126 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (37 papers), Medical Image Segmentation Techniques (33 papers), Differential Equations and Numerical Methods (23 papers), Fractional Differential Equations Solutions (19 papers), Advanced Numerical Methods in Computational Mathematics (15 papers), Advanced Image Processing Techniques (14 papers), Numerical methods for differential equations (13 papers) and Numerical methods in engineering (13 papers). The work is most often cited by research in Modeling and Simulation (373 citations), Numerical Analysis (244 citations), Computer Vision and Pattern Recognition (594 citations), Media Technology (197 citations) and Computational Mechanics (303 citations). Boying Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yunyun Yang, Junping Shi, Zhichang Guo, Dazhi Zhang, Sainan Wu, Xiong Meng, Jiebao Sun, Chi‐Wang Shu, Xiu Shu and Renhao Cui. Their work appears in journals such as Journal of Scientific Computing, Journal of Mathematical Analysis and Applications, Applied Numerical Mathematics, Mathematical Methods in the Applied Sciences and Abstract and Applied Analysis.
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.