Yu-Jiang Wu

1.2k total citations
66 papers, 960 citations indexed

About

Yu-Jiang Wu is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yu-Jiang Wu has authored 66 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Numerical Analysis, 35 papers in Computational Theory and Mathematics and 28 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yu-Jiang Wu's work include Matrix Theory and Algorithms (34 papers), Electromagnetic Scattering and Analysis (28 papers) and Fractional Differential Equations Solutions (20 papers). Yu-Jiang Wu is often cited by papers focused on Matrix Theory and Algorithms (34 papers), Electromagnetic Scattering and Analysis (28 papers) and Fractional Differential Equations Solutions (20 papers). Yu-Jiang Wu collaborates with scholars based in China, Brazil and United States. Yu-Jiang Wu's co-authors include Weihua Deng, Ai‐Li Yang, Xu Li, Na Zhang, Can Li, Wenyi Tian, Yanyan Yu, Minghua Chen, Jinyun Yuan and Jing An and has published in prestigious journals such as Chemistry - A European Journal, Biogeosciences and Applied Mathematics and Computation.

In The Last Decade

Yu-Jiang Wu

63 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Jiang Wu China 19 621 449 423 312 179 66 960
Paolo Novati Italy 15 386 0.6× 229 0.5× 293 0.7× 70 0.2× 167 0.9× 48 730
Eduardo L. Ortiz United Kingdom 17 584 0.9× 304 0.7× 183 0.4× 72 0.2× 98 0.5× 81 887
Igor Moret Italy 15 442 0.7× 184 0.4× 331 0.8× 97 0.3× 103 0.6× 37 594
John Lund United States 16 425 0.7× 289 0.6× 200 0.5× 111 0.4× 148 0.8× 31 861
Kenneth L. Bowers United States 13 362 0.6× 238 0.5× 154 0.4× 67 0.2× 145 0.8× 25 685
Takayasu Matsuo Japan 17 565 0.9× 274 0.6× 141 0.3× 58 0.2× 227 1.3× 59 851
Ewa Weinmüller Austria 19 659 1.1× 124 0.3× 256 0.6× 34 0.1× 238 1.3× 98 922
Guo Ben‐yu China 17 621 1.0× 403 0.9× 93 0.2× 57 0.2× 264 1.5× 50 1000
Christian Glusa United States 9 182 0.3× 246 0.5× 136 0.3× 33 0.1× 117 0.7× 21 544
Qin Sheng United States 16 320 0.5× 119 0.3× 140 0.3× 63 0.2× 131 0.7× 57 706

Countries citing papers authored by Yu-Jiang Wu

Since Specialization
Citations

This map shows the geographic impact of Yu-Jiang 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 Yu-Jiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Jiang Wu more than expected).

Fields of papers citing papers by Yu-Jiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Jiang 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 Yu-Jiang Wu. The network helps show where Yu-Jiang Wu may publish in the future.

Co-authorship network of co-authors of Yu-Jiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Jiang Wu. A scholar is included among the top collaborators of Yu-Jiang 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 Yu-Jiang Wu. Yu-Jiang 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.
Wu, Yu-Jiang, et al.. (2023). Rational Spectral Collocation Combined with Singularity Separation Method for Second-Order Singular Perturbation Problems. Journal of Mathematical Sciences. 270(2). 294–306.
2.
Wu, Yu-Jiang, Zhizai Li, Yutian Lei, & Zhiwen Jin. (2023). Metal‐Free Perovskites for X‐Ray Detection. Chemistry - A European Journal. 29(56). e202301536–e202301536. 6 indexed citations
3.
Wu, Yu-Jiang, et al.. (2021). A two-parameter block triangular preconditioner for double saddle point problem arising from liquid crystal directors modeling. Numerical Algorithms. 89(3). 987–1006. 8 indexed citations
4.
Yang, Ai‐Li, et al.. (2019). A parameterized deteriorated PSS preconditioner and its optimization for nonsymmetric saddle point problems. Computers & Mathematics with Applications. 79(5). 1420–1434. 1 indexed citations
5.
Yang, Ai‐Li, et al.. (2017). Two modified block-triangular splitting preconditioners for generalized saddle-point problems. Computers & Mathematics with Applications. 74(6). 1176–1197. 2 indexed citations
6.
Li, Xian, et al.. (2017). On symmetric block triangular splitting iteration method for a class of complex symmetric system of linear equations. Applied Mathematics Letters. 79. 131–137. 13 indexed citations
7.
Yu, Yanyan, et al.. (2016). Third order difference schemes (without using points outside of the domain) for one sided space tempered fractional partial differential equations. Applied Numerical Mathematics. 112. 126–145. 28 indexed citations
8.
Yang, Ai‐Li, et al.. (2016). The modified shift-splitting preconditioners for nonsymmetric saddle-point problems. Applied Mathematics Letters. 59. 109–114. 21 indexed citations
9.
Yu, Yanyan, Weihua Deng, & Yu-Jiang Wu. (2015). Positivity and boundedness preserving schemes for space–time fractional predator–prey reaction–diffusion model. Computers & Mathematics with Applications. 69(8). 743–759. 27 indexed citations
10.
Yang, Ai‐Li, et al.. (2015). Parameterized preconditioned Hermitian and skew-Hermitian splitting iteration method for a class of linear matrix equations. Computers & Mathematics with Applications. 70(6). 1357–1367. 2 indexed citations
11.
Yang, Ai‐Li, et al.. (2015). Preconditioning analysis of nonuniform incremental unknowns method for two dimensional elliptic problems. Applied Mathematical Modelling. 39(18). 5436–5451. 1 indexed citations
12.
Yang, Ai‐Li & Yu-Jiang Wu. (2014). The Uzawa–HSS method for saddle-point problems. Applied Mathematics Letters. 38. 38–42. 30 indexed citations
13.
Yang, Ai‐Li, et al.. (2014). On semi-convergence of generalized skew-Hermitian triangular splitting iteration methods for singular saddle-point problems. Linear Algebra and its Applications. 459. 493–510. 10 indexed citations
14.
Li, Can, et al.. (2013). Orthogonal spline collocation methods for the subdiffusion equation. Journal of Computational and Applied Mathematics. 255. 517–528. 18 indexed citations
15.
Zhang, Na, Weihua Deng, & Yu-Jiang Wu. (2012). Finite Difference/Element Method for a Two-Dimensional Modified Fractional Diffusion Equation. Advances in Applied Mathematics and Mechanics. 4(4). 496–518. 74 indexed citations
16.
Yang, Ai‐Li & Yu-Jiang Wu. (2012). Newton-MHSS methods for solving systems of nonlinear equations with complex symmetric Jacobian matrices. Numerical Algebra Control and Optimization. 2(4). 839–853. 11 indexed citations
17.
Deng, Weihua, et al.. (2012). High order finite difference WENO schemes for fractional differential equations. Applied Mathematics Letters. 26(3). 362–366. 30 indexed citations
18.
Li, Can, et al.. (2011). Chebyshev–Legendre pseudo-spectral method for the generalised Burgers–Fisher equation. Applied Mathematical Modelling. 36(3). 1046–1056. 32 indexed citations
19.
Hou, Shugui, et al.. (2008). Bacteria in Himalayan glacial ice and its relationship to dust. Biogeosciences. 5(6). 1741–1750. 21 indexed citations
20.
Deng, Weihua, Yu-Jiang Wu, & Changpin Li. (2007). Attractors for one kind of lattice dynamical system. Computers & Mathematics with Applications. 54(5). 617–626. 1 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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