Lin Mu

3.1k total citations
90 papers, 2.1k citations indexed

About

Lin Mu is a scholar working on Computational Mechanics, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Lin Mu has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computational Mechanics, 47 papers in Mechanics of Materials and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Lin Mu's work include Advanced Numerical Methods in Computational Mathematics (70 papers), Numerical methods in engineering (46 papers) and Electromagnetic Simulation and Numerical Methods (28 papers). Lin Mu is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (70 papers), Numerical methods in engineering (46 papers) and Electromagnetic Simulation and Numerical Methods (28 papers). Lin Mu collaborates with scholars based in United States, China and Iraq. Lin Mu's co-authors include Xiu Ye, Junping Wang, Junping Wang, Shangyou Zhang, Guo‐Wei Wei, Zixuan Cang, Shan Zhao, Xiaozhe Hu, Junping Wang and Yanqiu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Lin Mu

88 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Mu United States 23 1.6k 995 862 565 375 90 2.1k
Ludmil Zikatanov United States 24 1.5k 0.9× 618 0.6× 996 1.2× 308 0.5× 338 0.9× 80 1.9k
Emmanuil H. Georgoulis United Kingdom 18 1.1k 0.7× 544 0.5× 432 0.5× 281 0.5× 247 0.7× 53 1.3k
Michal Křı́žek Czechia 19 752 0.5× 431 0.4× 441 0.5× 208 0.4× 231 0.6× 119 1.3k
Kunibert G. Siebert Germany 20 1.7k 1.0× 824 0.8× 863 1.0× 485 0.9× 315 0.8× 34 1.9k
Andy Wathen United Kingdom 24 1.2k 0.7× 215 0.2× 1.1k 1.3× 167 0.3× 622 1.7× 62 1.8k
Stefano De Marchı Italy 22 545 0.3× 429 0.4× 265 0.3× 89 0.2× 301 0.8× 108 1.4k
Pedro Morín Argentina 17 1.1k 0.7× 542 0.5× 623 0.7× 297 0.5× 230 0.6× 39 1.3k
Eberhard Bänsch Germany 19 924 0.6× 220 0.2× 251 0.3× 184 0.3× 122 0.3× 72 1.3k
Kejia Pan China 20 533 0.3× 94 0.1× 146 0.2× 213 0.4× 340 0.9× 129 1.4k
Marcus Sarkis United States 17 994 0.6× 397 0.4× 685 0.8× 193 0.3× 243 0.6× 40 1.3k

Countries citing papers authored by Lin Mu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Mu. 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 Lin Mu. The network helps show where Lin Mu may publish in the future.

Co-authorship network of co-authors of Lin Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Mu. A scholar is included among the top collaborators of Lin Mu 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 Lin Mu. Lin Mu 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.
Li, Yujiao, Yong Liu, Lei Liu, et al.. (2024). Low temperature self-growth of organic-inorganic perovskite nanowires for high performance flexible photodetectors. Materials Today Communications. 40. 109951–109951. 1 indexed citations
2.
Wang, Yaning, Jingfeng Zhang, Mingyang Li, et al.. (2024). SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings. Academic Radiology. 32(5). 2655–2666. 2 indexed citations
3.
Mu, Lin, Xiu Ye, Shangyou Zhang, & Peng Zhu. (2023). A DG Method for the Stokes Equations on Tensor Product Meshes with $$[P_k]^d-P_{k-1}$$ Element. Communications on Applied Mathematics and Computation. 6(4). 2431–2454. 2 indexed citations
4.
Wang, Kun & Lin Mu. (2023). An enriched cut finite element method for Stokes interface equations. Mathematics and Computers in Simulation. 218. 644–665.
5.
Mu, Lin, et al.. (2020). Accelerating linear solvers for large-scale Stokes problems with C++ metaprogramming.. arXiv (Cornell University). 1 indexed citations
6.
Mu, Lin & Guannan Zhang. (2019). A Domain Decomposition Model Reduction Method for Linear Convection-Diffusion Equations with Random Coefficients. SIAM Journal on Scientific Computing. 41(3). A1984–A2011. 4 indexed citations
7.
Mu, Lin. (2019). Weak Galerkin based a posteriori error estimates for second order elliptic interface problems on polygonal meshes. Journal of Computational and Applied Mathematics. 361. 413–425. 14 indexed citations
8.
Mu, Lin. (2018). A priori and a posterior error estimate of new weak Galerkin finite element methods for second order elliptic interface problems on polygonal meshes. Journal of Computational and Applied Mathematics. 362. 423–442. 6 indexed citations
9.
Mu, Lin, Junping Wang, & Xiu Ye. (2017). Effective implementation of the weak Galerkin finite element methods for the biharmonic equation. Computers & Mathematics with Applications. 74(6). 1215–1222. 10 indexed citations
10.
Mu, Lin, Kelin Xia, & Guo‐Wei Wei. (2016). Geometric and electrostatic modeling using molecular rigidity functions. Journal of Computational and Applied Mathematics. 313. 18–37. 7 indexed citations
11.
Mu, Lin, Junping Wang, & Xiu Ye. (2016). A weak Galerkin generalized multiscale finite element method. Journal of Computational and Applied Mathematics. 305. 68–81. 6 indexed citations
12.
Mu, Lin, Junping Wang, & Xiu Ye. (2015). A weak Galerkin finite element method with polynomial reduction. Journal of Computational and Applied Mathematics. 285. 45–58. 107 indexed citations
13.
Mu, Lin, et al.. (2014). Superconvergence ofH(div)finite element approximations for the Stokes problem by localL2-projection methods. Journal of Computational and Applied Mathematics. 278. 278–292. 1 indexed citations
14.
Mu, Lin, Xiaoshen Wang, & Xiu Ye. (2014). A modified weak Galerkin finite element method for the Stokes equations. Journal of Computational and Applied Mathematics. 275. 79–90. 62 indexed citations
15.
Mu, Lin, Junping Wang, Yanqiu Wang, & Xiu Ye. (2013). Interior penalty discontinuous Galerkin method on very general polygonal and polyhedral meshes. Journal of Computational and Applied Mathematics. 255. 432–440. 17 indexed citations
16.
Mu, Lin, et al.. (2013). A posteriori error analysis for discontinuous finite volume methods of elliptic interface problems. Journal of Computational and Applied Mathematics. 255. 529–543. 12 indexed citations
17.
Mu, Lin, Junping Wang, & Xiu Ye. (2012). Weak Galerkin Finite Element Methods for Second-Order Elliptic Problems on Polytopal Meshes. arXiv (Cornell University). 3 indexed citations
18.
Liu, Jiangguo, Lin Mu, & Xiu Ye. (2012). L2 error estimation for DGFEM for elliptic problems with low regularity. Applied Mathematics Letters. 25(11). 1614–1618. 4 indexed citations
19.
Liu, Jiangguo, et al.. (2012). Convergence of the discontinuous finite volume method for elliptic problems with minimal regularity. Journal of Computational and Applied Mathematics. 236(17). 4537–4546. 14 indexed citations
20.
Liu, Jiangguo, Lin Mu, & Xiu Ye. (2011). An adaptive discontinuous finite volume method for elliptic problems. Journal of Computational and Applied Mathematics. 235(18). 5422–5431. 20 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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