Guanglian Li

601 total citations
32 papers, 361 citations indexed

About

Guanglian Li is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Guanglian Li has authored 32 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 22 papers in Computational Theory and Mathematics and 14 papers in Mechanics of Materials. Recurrent topics in Guanglian Li's work include Advanced Numerical Methods in Computational Mathematics (22 papers), Advanced Mathematical Modeling in Engineering (22 papers) and Composite Material Mechanics (13 papers). Guanglian Li is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (22 papers), Advanced Mathematical Modeling in Engineering (22 papers) and Composite Material Mechanics (13 papers). Guanglian Li collaborates with scholars based in Hong Kong, United States and China. Guanglian Li's co-authors include Yalchin Efendiev, Eric T. Chung, Juan Galvis, Victor M. Calo, Maria Vasilyeva, Na Zhang, Shubin Fu, Seong Lee, Jun Yao and Daniel Peterseim and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and SIAM Journal on Numerical Analysis.

In The Last Decade

Guanglian Li

25 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglian Li Hong Kong 10 315 312 275 20 17 32 361
Sergio Caucao Chile 12 115 0.4× 287 0.9× 206 0.7× 11 0.6× 27 1.6× 34 298
Ayçıl Çeşmeli̇oğlu United States 9 195 0.6× 423 1.4× 103 0.4× 16 0.8× 13 0.8× 22 456
Zoubida Mghazli Morocco 10 129 0.4× 247 0.8× 100 0.4× 21 1.1× 31 1.8× 31 312
Lori Badea Romania 9 210 0.7× 252 0.8× 124 0.5× 11 0.6× 42 2.5× 31 382
M. Farhloul Canada 11 121 0.4× 349 1.1× 201 0.7× 21 1.1× 15 0.9× 35 376
Annette F. Stephansen Norway 5 129 0.4× 211 0.7× 63 0.2× 17 0.8× 20 1.2× 9 255
Chak Shing Lee United States 9 178 0.6× 277 0.9× 169 0.6× 17 0.8× 3 0.2× 17 317
Igor Mozolevski Brazil 12 180 0.6× 388 1.2× 217 0.8× 25 1.3× 7 0.4× 19 461
Alex Bespalov United Kingdom 11 94 0.3× 200 0.6× 160 0.6× 28 1.4× 6 0.4× 38 295
Quanling Deng Australia 11 110 0.3× 252 0.8× 140 0.5× 34 1.7× 3 0.2× 36 294

Countries citing papers authored by Guanglian Li

Since Specialization
Citations

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

Fields of papers citing papers by Guanglian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglian Li. A scholar is included among the top collaborators of Guanglian Li 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 Guanglian Li. Guanglian Li 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.
Yang, Jiefei & Guanglian Li. (2025). On sparse grid interpolation for American option pricing with multiple underlying assets. Journal of Computational and Applied Mathematics. 464. 116544–116544. 1 indexed citations
2.
Song, Haixing, et al.. (2025). Skin lesion classification network based on improved MobileViT. Engineering Applications of Artificial Intelligence. 159. 111726–111726. 1 indexed citations
3.
Li, Guanglian, et al.. (2025). Electrochemical Energy Storage Devices. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations
4.
Li, Guanglian, et al.. (2025). Adaptive Finite Element Approximations of the First Eigenpair Associated with \({p}\)-Laplacian. SIAM Journal on Scientific Computing. 47(1). A374–A402.
5.
Fu, Shubin, Eric T. Chung, & Guanglian Li. (2025). Wavelet-Based Edge Multiscale Finite Element Methods for Singularly Perturbed Convection-Diffusion Equations. Multiscale Modeling and Simulation. 23(1). 431–457. 1 indexed citations
6.
Li, Guanglian, et al.. (2024). Morphological classification of neurons based on Sugeno fuzzy integration and multi-classifier fusion. Scientific Reports. 14(1). 16003–16003.
7.
Dubois, Marc, Shaojun Fu, Yao‐Ting Wang, et al.. (2024). Collimated beam formation in 3D acoustic sonic crystals. New Journal of Physics. 26(7). 73021–73021. 2 indexed citations
8.
9.
Wang, Yueqi, Richard V. Craster, & Guanglian Li. (2024). An hp-adaptive sampling algorithm for dispersion relation reconstruction of 3D photonic crystals. Journal of Computational Physics. 521. 113572–113572. 1 indexed citations
10.
Li, Guanglian. (2023). Wavelet-based Edge Multiscale Parareal Algorithm for subdiffusion equations with heterogeneous coefficients in a large time domain. Journal of Computational and Applied Mathematics. 440. 115608–115608.
11.
Wang, Xu & Guanglian Li. (2023). Dispersion relation reconstruction for 2D photonic crystals based on polynomial interpolation. Journal of Computational Physics. 498. 112659–112659. 2 indexed citations
12.
Fu, Shubin, Eric T. Chung, & Guanglian Li. (2021). An Edge Multiscale Interior Penalty Discontinuous Galerkin method for heterogeneous Helmholtz problems with large varying wavenumber. Journal of Computational Physics. 441. 110387–110387. 4 indexed citations
13.
Li, Guanglian. (2018). Low-Rank Approximation to Heterogeneous Elliptic Problems. Multiscale Modeling and Simulation. 16(1). 477–502. 2 indexed citations
14.
Li, Guanglian, et al.. (2017). Error analysis of a variational multiscale stabilization for convection-dominated diffusion equations in two dimensions. IMA Journal of Numerical Analysis. 38(3). 1229–1253. 15 indexed citations
15.
Li, Guanglian, et al.. (2016). A Convergent Adaptive Finite Element Method for Cathodic Protection. Computational Methods in Applied Mathematics. 17(1). 105–120.
16.
Chung, Eric T., Yalchin Efendiev, Guanglian Li, & Maria Vasilyeva. (2015). Generalized multiscale finite element methods for problems in perforated heterogeneous domains. Applicable Analysis. 95(10). 2254–2279. 49 indexed citations
17.
Brown, Donald L., et al.. (2015). Homogenization of High-Contrast Brinkman Flows. Multiscale Modeling and Simulation. 13(2). 472–490. 6 indexed citations
18.
Galvis, Juan, Guanglian Li, & Ke Shi. (2014). A generalized multiscale finite element method for the Brinkman equation. Journal of Computational and Applied Mathematics. 280. 294–309. 13 indexed citations
19.
Li, Guanglian. (2013). Research on the Spread of infectious Diseases Based on Constraints. 1 indexed citations
20.
Brown, Donald L., et al.. (2013). Multiscale Modeling of High Contrast Brinkman Equations with Applications to Deformable Porous Media. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 7. 1991–1996. 3 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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