Ba-Anh Le

477 total citations · 1 hit paper
10 papers, 361 citations indexed

About

Ba-Anh Le is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Environmental Engineering. According to data from OpenAlex, Ba-Anh Le has authored 10 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 6 papers in Mechanics of Materials and 2 papers in Environmental Engineering. Recurrent topics in Ba-Anh Le's work include Numerical methods in engineering (4 papers), Infrastructure Maintenance and Monitoring (3 papers) and Geotechnical Engineering and Underground Structures (3 papers). Ba-Anh Le is often cited by papers focused on Numerical methods in engineering (4 papers), Infrastructure Maintenance and Monitoring (3 papers) and Geotechnical Engineering and Underground Structures (3 papers). Ba-Anh Le collaborates with scholars based in Vietnam, France and Luxembourg. Ba-Anh Le's co-authors include Julien Yvonnet, Q.‐C. He, Vũ Việt Hưng, Soo‐Yeon Seo, Tuan Nguyen‐Sy, Tu Anh, Nguyễn Văn Hùng, Xavier Château, Guy Bonnet and Quy‐Dong To and has published in prestigious journals such as Journal of Applied Mechanics, International Journal for Numerical Methods in Engineering and Engineering Fracture Mechanics.

In The Last Decade

Ba-Anh Le

8 papers receiving 346 citations

Hit Papers

Computational homogenization of nonlinear elastic materia... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ba-Anh Le Vietnam 5 216 148 73 64 57 10 361
Alexandre Clément France 12 274 1.3× 183 1.2× 34 0.5× 100 1.6× 33 0.6× 23 523
Manuel E. Cruz Brazil 13 151 0.7× 28 0.2× 98 1.3× 124 1.9× 56 1.0× 48 494
Lazarus Tenek Germany 15 436 2.0× 357 2.4× 27 0.4× 10 0.2× 40 0.7× 32 539
Mishal Thapa United States 9 70 0.3× 116 0.8× 13 0.2× 32 0.5× 22 0.4× 22 266
Eduardo Nobre Lages Brazil 10 145 0.7× 127 0.9× 10 0.1× 30 0.5× 24 0.4× 29 300
Zifeng Yuan China 10 260 1.2× 92 0.6× 11 0.2× 48 0.8× 24 0.4× 31 409
Mieczysław Kuczma Poland 11 101 0.5× 219 1.5× 7 0.1× 40 0.6× 30 0.5× 35 372
S.Sh. Ghorashi Germany 8 516 2.4× 166 1.1× 14 0.2× 22 0.3× 16 0.3× 15 589
Wang Guanglun China 15 226 1.0× 373 2.5× 22 0.3× 13 0.2× 15 0.3× 27 540
Abhinav Gupta India 13 213 1.0× 123 0.8× 10 0.1× 13 0.2× 109 1.9× 28 432

Countries citing papers authored by Ba-Anh Le

Since Specialization
Citations

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

Fields of papers citing papers by Ba-Anh Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ba-Anh Le. 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 Ba-Anh Le. The network helps show where Ba-Anh Le may publish in the future.

Co-authorship network of co-authors of Ba-Anh Le

This figure shows the co-authorship network connecting the top 25 collaborators of Ba-Anh Le. A scholar is included among the top collaborators of Ba-Anh Le 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 Ba-Anh Le. Ba-Anh Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Le, Ba-Anh, et al.. (2024). A cohesive fracture-enhanced phase-field approach for modeling the damage behavior of steel fiber-reinforced concrete. Engineering Fracture Mechanics. 311. 110603–110603.
3.
Anh, Tu & Ba-Anh Le. (2024). Machine learning approach for predicting early-age thermal cracking potential in concrete bridge piers. Forces in Mechanics. 17. 100297–100297. 4 indexed citations
4.
Le, Ba-Anh, et al.. (2024). Deep artificial neural network-powered phase field model for predicting damage characteristic in brittle composite under varying configurations. Machine Learning Science and Technology. 5(2). 25062–25062. 1 indexed citations
5.
Le, Ba-Anh, et al.. (2023). Predicting the Compressive Strength of Pervious Cement Concrete based on Fast Genetic Programming Method. Arabian Journal for Science and Engineering. 49(4). 5487–5504. 7 indexed citations
6.
Le, Ba-Anh, et al.. (2023). On the choice of a phase field model for describing fracture behavior of concrete. International Journal of Computational Materials Science and Engineering. 13(1). 2 indexed citations
7.
Le, Ba-Anh, et al.. (2022). Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods. KSCE Journal of Civil Engineering. 26(11). 4664–4679. 28 indexed citations
8.
Hưng, Vũ Việt, et al.. (2021). Prediction of the relationship between strength and porosity of pervious concrete: A micromechanical investigation. Mechanics Research Communications. 118. 103791–103791. 26 indexed citations
9.
To, Quy‐Dong, et al.. (2019). Effective permeability of anisotropic porous materials containing periodically or randomly distributed cracks. European Journal of Mechanics - A/Solids. 80. 103902–103902. 1 indexed citations
10.
Le, Ba-Anh, Julien Yvonnet, & Q.‐C. He. (2015). Computational homogenization of nonlinear elastic materials using neural networks. International Journal for Numerical Methods in Engineering. 104(12). 1061–1084. 292 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026