Boying Wu

1.9k total citations
125 papers, 1.4k citations indexed

About

Boying Wu is a scholar working on Computer Vision and Pattern Recognition, Numerical Analysis and Modeling and Simulation. According to data from OpenAlex, Boying Wu has authored 125 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 34 papers in Numerical Analysis and 30 papers in Modeling and Simulation. Recurrent topics in Boying Wu's work include Image and Signal Denoising Methods (37 papers), Medical Image Segmentation Techniques (33 papers) and Differential Equations and Numerical Methods (23 papers). Boying Wu is often cited by papers focused on Image and Signal Denoising Methods (37 papers), Medical Image Segmentation Techniques (33 papers) and Differential Equations and Numerical Methods (23 papers). Boying Wu collaborates with scholars based in China, United States and Singapore. Boying Wu's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Mathematics of Computation.

In The Last Decade

Boying Wu

110 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Boying Wu China 18 555 356 293 281 237 125 1.4k
Jigen Peng China 22 212 0.4× 390 1.1× 148 0.5× 290 1.0× 144 0.6× 96 1.7k
Lihong Huang China 27 328 0.6× 201 0.6× 64 0.2× 353 1.3× 70 0.3× 131 2.2k
José M. Mazón Spain 22 234 0.4× 355 1.0× 235 0.8× 160 0.6× 197 0.8× 96 2.2k
Elena Braverman Canada 26 72 0.1× 408 1.1× 79 0.3× 1.2k 4.1× 728 3.1× 158 2.5k
Amit Bhaya Brazil 22 69 0.1× 69 0.2× 87 0.3× 193 0.7× 177 0.7× 134 1.7k
Roberto Cavoretto Italy 21 146 0.3× 159 0.4× 506 1.7× 48 0.2× 169 0.7× 82 1.1k
Emmanuel Trélat France 28 70 0.1× 232 0.7× 202 0.7× 148 0.5× 335 1.4× 129 2.5k
Armando Ciancio Italy 16 177 0.3× 349 1.0× 15 0.1× 72 0.3× 71 0.3× 43 750
Eugenius Kaszkurewicz Brazil 23 52 0.1× 62 0.2× 77 0.3× 186 0.7× 171 0.7× 96 1.5k
Andrew N. W. Hone United Kingdom 20 58 0.1× 102 0.3× 43 0.1× 40 0.1× 126 0.5× 86 2.0k

Countries citing papers authored by Boying Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Boying Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Boying Wu. A scholar is included among the top collaborators of Boying Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Boying Wu. Boying Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiang, Xin, et al.. (2025). Active contour model combining frequency domain information for noisy vessel image segmentation. Pattern Recognition. 171. 112126–112126.
2.
Guo, Zhichang, et al.. (2025). A variational image segmentation model with intensity correction in the presence of high level multiplicative noise. Inverse Problems and Imaging. 19(5). 877–902. 1 indexed citations
4.
Shu, Chi‐Wang, et al.. (2024). Analysis of the boundary conditions for the ultraweak-local discontinuous Galerkin method of time-dependent linear fourth-order problems. Mathematics of Computation. 94(351). 123–158. 1 indexed citations
5.
Zhang, Dazhi, et al.. (2024). An Ultra-weak Local Discontinuous Galerkin Method with Generalized Numerical Fluxes for the KdV–Burgers–Kuramoto Equation. Journal of Scientific Computing. 99(3). 1 indexed citations
6.
Chen, Bao, et al.. (2023). A novel variable exponent non-convex TVp,q(x) model in image restoration. Applied Mathematics Letters. 145. 108791–108791.
7.
Yang, Yunyun, et al.. (2022). Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning. IEEE/ACM Transactions on Networking. 30(5). 2090–2101. 5 indexed citations
8.
Yang, Yunyun, et al.. (2021). Robust PCL Discovery of Data-Driven Mean-Field Game Systems and Control Problems. IEEE Transactions on Circuits and Systems I Regular Papers. 68(6). 2651–2664. 11 indexed citations
9.
Fang, Jinwei, Boying Wu, & Wenjie Liu. (2018). An explicit spectral collocation method using nonpolynomial basis functions for the time‐dependent Schrödinger equation. Mathematical Methods in the Applied Sciences. 42(1). 186–203. 4 indexed citations
10.
Wu, Boying, et al.. (2018). A generalized Laguerre spectral Petrov–Galerkin method for the time-fractional subdiffusion equation on the semi-infinite domain. Applied Mathematics and Computation. 331. 96–111. 5 indexed citations
11.
Fang, Jinwei, Boying Wu, & Wenjie Liu. (2017). An explicit spectral collocation method for the linearized Korteweg–de Vries equation on unbounded domain. Applied Numerical Mathematics. 126. 34–52. 2 indexed citations
12.
13.
Wu, Sainan & Boying Wu. (2016). Global boundedness in a quasilinear attraction–repulsion chemotaxis model with nonlinear sensitivity. Journal of Mathematical Analysis and Applications. 442(2). 554–582. 5 indexed citations
14.
Wu, Sainan, Junping Shi, & Boying Wu. (2016). Global existence of solutions and uniform persistence of a diffusive predator–prey model with prey-taxis. Journal of Differential Equations. 260(7). 5847–5874. 191 indexed citations
15.
Wu, Boying, et al.. (2015). On input-to-state stability for stochastic coupled control systems on networks. Applied Mathematics and Computation. 262. 90–101. 13 indexed citations
16.
Liu, Wenjie, Jiebao Sun, & Boying Wu. (2015). Space–time spectral method for the two-dimensional generalized sine-Gordon equation. Journal of Mathematical Analysis and Applications. 427(2). 787–804. 24 indexed citations
17.
Zhang, Dazhi, et al.. (2015). A non-divergence diffusion equation for removing impulse noise and mixed Gaussian impulse noise. Neurocomputing. 173. 659–670. 9 indexed citations
18.
Zhang, Dazhi, Xiaoping Ji, & Boying Wu. (2012). An Image Edge Detection Method Based on Mathematical Morphology. 981–984. 3 indexed citations
19.
Yang, Yunyun & Boying Wu. (2011). Split Bregman method for minimization of improved active contour model combining local and global information dynamically. Journal of Mathematical Analysis and Applications. 389(1). 351–366. 31 indexed citations
20.
Zhang, Dazhi, et al.. (2010). A novel variational model for image segmentation. Journal of Computational and Applied Mathematics. 235(8). 2234–2241. 2 indexed citations

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.

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