T. Le-Xuan

416 total citations
17 papers, 285 citations indexed

About

T. Le-Xuan is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, T. Le-Xuan has authored 17 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 5 papers in Mechanical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in T. Le-Xuan's work include Structural Health Monitoring Techniques (13 papers), Infrastructure Maintenance and Monitoring (9 papers) and Concrete Corrosion and Durability (3 papers). T. Le-Xuan is often cited by papers focused on Structural Health Monitoring Techniques (13 papers), Infrastructure Maintenance and Monitoring (9 papers) and Concrete Corrosion and Durability (3 papers). T. Le-Xuan collaborates with scholars based in Vietnam, Belgium and Portugal. T. Le-Xuan's co-authors include Thanh Bui-Tien, H. Tran-Ngoc, Guido De Roeck, Magd Abdel Wahab, Samir Khatir, Edwin Reynders, Pierre Argoul, Lamine Dieng, Nelly Point and Son Pham and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Journal of Sound and Vibration.

In The Last Decade

T. Le-Xuan

16 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Le-Xuan Vietnam	9	187	68	59	36	29	17	285
Kang Liu China	10	200 1.1×	73 1.1×	70 1.2×	30 0.8×	24 0.8×	39	304
Chathurdara Sri Nadith Pathirage Australia	5	372 2.0×	88 1.3×	100 1.7×	32 0.9×	26 0.9×	7	453
Peyman Torkzadeh Iran	9	335 1.8×	77 1.1×	86 1.5×	33 0.9×	44 1.5×	24	398
Yanbin Shen China	13	247 1.3×	51 0.8×	48 0.8×	64 1.8×	32 1.1×	40	363
Shiqiang Qin China	12	375 2.0×	114 1.7×	70 1.2×	44 1.2×	23 0.8×	39	463
Rosalba Ferrari Italy	11	323 1.7×	71 1.0×	72 1.2×	44 1.2×	10 0.3×	29	368
José Elías Laier Brazil	8	292 1.6×	74 1.1×	121 2.1×	45 1.3×	22 0.8×	24	362
Irwanda Laory United Kingdom	11	416 2.2×	59 0.9×	82 1.4×	44 1.2×	16 0.6×	26	447
Peter Kraemer Germany	7	227 1.2×	101 1.5×	90 1.5×	49 1.4×	15 0.5×	35	285

Countries citing papers authored by T. Le-Xuan

Since Specialization

Citations

This map shows the geographic impact of T. Le-Xuan'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 T. Le-Xuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Le-Xuan more than expected).

Fields of papers citing papers by T. Le-Xuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Le-Xuan

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Le-Xuan, T., et al.. (2025). ResUNet4T: A potential deep learning model for damage detection based on a numerical case study of a large-scale bridge using time-series data. Engineering Structures. 340. 120668–120668. 1 indexed citations

Le-Xuan, T., et al.. (2025). The H5N1 algorithm: a viral-inspired optimization for solving real-world engineering problems. Engineering Computations. 42(3). 1024–1096. 1 indexed citations

Dinh, Vi Am, Thanh Nguyen, T. Le-Xuan, et al.. (2025). Naegleria fowleri: Portrait of a Cerebral Killer. Diagnostics. 15(1). 89–89. 1 indexed citations

Le-Xuan, T., et al.. (2025). Antibiotic dispensing without a prescription across community pharmacies: A simulated patient study. Exploratory Research in Clinical and Social Pharmacy. 18. 100590–100590.

Bui-Tien, Thanh, et al.. (2024). Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis. Construction and Building Materials. 439. 137240–137240. 11 indexed citations

Le-Xuan, T., et al.. (2024). A two-step approach for damage identification in bridge structure using convolutional Long Short-Term Memory with augmented time-series data. Advances in Engineering Software. 198. 103795–103795. 8 indexed citations

Le-Xuan, T., et al.. (2024). A Prospective Technique for Damage Detection in Truss Structures Using the Fusion of DNN with AVOA. KSCE Journal of Civil Engineering. 28(7). 2920–2933. 3 indexed citations

Le-Xuan, T., et al.. (2024). Enhancing Salp Swarm Optimization with Orthogonal Diagonalization Transformation for Damage Detection in Truss Bridge. KSCE Journal of Civil Engineering. 28(6). 2355–2365. 2 indexed citations

Le-Xuan, T., Thanh Bui-Tien, & H. Tran-Ngoc. (2023). A novel approach model design for signal data using 1DCNN combing with LSTM and ResNet for damaged detection problem. Structures. 59. 105784–105784. 26 indexed citations

10.

Tran-Ngoc, H., T. Le-Xuan, Samir Khatir, et al.. (2023). A promising approach using Fibonacci sequence-based optimization algorithms and advanced computing. Scientific Reports. 13(1). 3405–3405. 11 indexed citations

11.

Khatir, Samir, et al.. (2022). Damage assessment of suspension footbridge using vibration measurement data combined with a hybrid bee-genetic algorithm. Scientific Reports. 12(1). 20143–20143. 10 indexed citations

12.

Tran-Ngoc, H., Samir Khatir, T. Le-Xuan, et al.. (2022). Damage assessment in structures using artificial neural network working and a hybrid stochastic optimization. Scientific Reports. 12(1). 4958–4958. 14 indexed citations

13.

Tran-Ngoc, H., Samir Khatir, T. Le-Xuan, et al.. (2021). Finite element model updating of a multispan bridge with a hybrid metaheuristic search algorithm using experimental data from wireless triaxial sensors. Engineering With Computers. 38(S3). 1865–1883. 39 indexed citations

14.

Tran-Ngoc, H., Samir Khatir, T. Le-Xuan, et al.. (2020). A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures. International Journal of Engineering Science. 157. 103376–103376. 73 indexed citations

15.

Tran-Ngoc, H., Edwin Reynders, Samir Khatir, et al.. (2020). An efficient approach to model updating for a multispan railway bridge using orthogonal diagonalization combined with improved particle swarm optimization. Journal of Sound and Vibration. 476. 115315–115315. 56 indexed citations

16.

Van, Hoang Minh Tu, Hà Mạnh Tuấn, Thanh Hung Nguyen, et al.. (2016). Clinical features and virology of hand foot mouth disease in Southern Vietnam, July 2013 - March 2015. International Journal of Infectious Diseases. 45. 20–20. 3 indexed citations

17.

Le-Xuan, T., et al.. (2013). Damage assessment of pre-stressed structures: A SVD-based approach to deal with time-varying loading. Mechanical Systems and Signal Processing. 47(1-2). 50–65. 26 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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