Guanglian Li

601 citations
32 papers · 361 indexed · h-index 10
Topics
Advanced Numerical Methods in Computational Mathematics (22 papers)Advanced Mathematical Modeling in Engineering (22 papers)Composite Material Mechanics (13 papers)

In The Last Decade

Guanglian Li

25 papers receiving 349 citations

Peers

Guanglian Li
Comparison fields: 5 of 38
  • Computational Theory and Mathematics 315
  • Computational Mechanics 312
  • Mechanics of Materials 275
  • Statistical and Nonlinear Physics 20
  • Mathematical Physics 17
Replace Chak Shing Lee with:
Chak Shing Lee United States
Sergio Caucao Chile
Ayçıl Çeşmeli̇oğlu United States
Zoubida Mghazli Morocco
M. Farhloul Canada
Igor Mozolevski Brazil
Lori Badea Romania
Annette F. Stephansen Norway
Konstantin Brenner France
Alex Bespalov United Kingdom
Guanglian Li relative to Chak Shing Lee United States Chak Shing Lee's profile →
Citations per field
00.5×5.7×
Chak Shing Lee · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 1
4 0
5 1
6 2
7 0
8 0
9 1
10 0
11 2
12 4
13 2
14 2
15 15
16 0
17 49
18 13
19
Research on the Spread of infectious Diseases Based on Constraints
1
20 3

About Guanglian Li

Guanglian Li is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics, having authored 32 papers that have together received 361 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (22 papers), Advanced Mathematical Modeling in Engineering (22 papers) and Composite Material Mechanics (13 papers). The work is most often cited by research in Computational Theory and Mathematics (315 citations), Computational Mechanics (312 citations) and Mechanics of Materials (275 citations). Guanglian Li has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Yalchin Efendiev, Eric T. Chung, Juan Galvis, Victor M. Calo, Maria Vasilyeva, Seong Lee, Jun Yao, Shubin Fu, Na Zhang and Daniel Peterseim. Their work appears in journals such as Scientific Reports, Journal of Computational Physics and SIAM Journal on Numerical 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.

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