Thuc N. Nguyen

914 total citations · 2 hit papers
15 papers, 726 citations indexed

About

Thuc N. Nguyen is a scholar working on Civil and Structural Engineering, Building and Construction and Information Systems. According to data from OpenAlex, Thuc N. Nguyen has authored 15 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 3 papers in Building and Construction and 1 paper in Information Systems. Recurrent topics in Thuc N. Nguyen's work include Concrete Corrosion and Durability (8 papers), Infrastructure Maintenance and Monitoring (6 papers) and Innovative concrete reinforcement materials (6 papers). Thuc N. Nguyen is often cited by papers focused on Concrete Corrosion and Durability (8 papers), Infrastructure Maintenance and Monitoring (6 papers) and Innovative concrete reinforcement materials (6 papers). Thuc N. Nguyen collaborates with scholars based in Australia, Canada and Thailand. Thuc N. Nguyen's co-authors include Yang Yu, Bijan Samali, Masoud Mohammadi, Maria Rashidi, Jianchun Li, Wengui Li, Withit Pansuk, Guang Zhang, Xinxiu Zhou and Andy Nguyễn and has published in prestigious journals such as Construction and Building Materials, Cement and Concrete Composites and Materials.

In The Last Decade

Thuc N. Nguyen

14 papers receiving 694 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Vision-based concrete crack detection using a hybrid framework considering noise effect

2022 124 citations Yang Yu, Bijan Samali et al. Journal of Building Engineering profile →
Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm

2022 122 citations Yang Yu, Maria Rashidi et al. Structural Health Monitoring profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thuc N. Nguyen Australia	10	475	185	80	66	53	15	726
Yishun Li China	13	351 0.7×	95 0.5×	113 1.4×	71 1.1×	153 2.9×	37	650
Difei Wu China	16	610 1.3×	102 0.6×	146 1.8×	79 1.2×	106 2.0×	48	840
Arman Malekloo Türkiye	6	262 0.6×	167 0.9×	90 1.1×	54 0.8×	18 0.3×	6	665
Rahul Biswas India	17	458 1.0×	168 0.9×	48 0.6×	102 1.5×	41 0.8×	41	760
Srinath Shiv Kumar United States	8	400 0.8×	217 1.2×	89 1.1×	68 1.0×	52 1.0×	16	666
Kay Smarsly Germany	15	374 0.8×	152 0.8×	79 1.0×	18 0.3×	21 0.4×	78	716
Senthan Mathavan United Kingdom	18	673 1.4×	77 0.4×	176 2.2×	141 2.1×	110 2.1×	46	1.1k
Dongsheng Li China	14	399 0.8×	66 0.4×	110 1.4×	28 0.4×	95 1.8×	38	685

Countries citing papers authored by Thuc N. Nguyen

Since Specialization

Citations

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

Fields of papers citing papers by Thuc N. Nguyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thuc N. Nguyen. 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 Thuc N. Nguyen. The network helps show where Thuc N. Nguyen may publish in the future.

Co-authorship network of co-authors of Thuc N. Nguyen

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

All Works

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15 of 15 papers shown

Sirivivatnanon, Vute, et al.. (2023). Reliability of AMBT and CPT in testing the effectiveness of SCM to mitigate alkali–silica reaction of field concrete. Construction and Building Materials. 369. 130510–130510. 4 indexed citations

Yu, Yang, Maria Rashidi, Bijan Samali, et al.. (2022). Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm. Structural Health Monitoring. 21(5). 2244–2263. 122 indexed citations breakdown →

Nguyen, Thuc N., Leandro Sanchez, Jianchun Li, Benoît Fournier, & Vute Sirivivatnanon. (2022). Correlating alkali-silica reaction (ASR) induced expansion from short-term laboratory testings to long-term field performance: A semi-empirical model. Cement and Concrete Composites. 134. 104817–104817. 10 indexed citations

Yu, Yang, Bijan Samali, Maria Rashidi, et al.. (2022). Back-Propagation Neural Network Optimized by K-Fold Cross-Validation for Prediction of Torsional Strength of Reinforced Concrete Beam. Materials. 15(4). 1477–1477. 84 indexed citations

Yu, Yang, et al.. (2022). Torsional capacity evaluation of RC beams using an improved bird swarm algorithm optimised 2D convolutional neural network. Engineering Structures. 273. 115066–115066. 72 indexed citations

Yu, Yang, Bijan Samali, Maria Rashidi, et al.. (2022). Vision-based concrete crack detection using a hybrid framework considering noise effect. Journal of Building Engineering. 61. 105246–105246. 124 indexed citations breakdown →

Nguyen, Thuc N., et al.. (2022). Numerical investigation of the influence of casting techniques on fiber orientation distribution in ECC. Frontiers of Structural and Civil Engineering. 16(11). 1424–1435.

Yu, Yang, Thuc N. Nguyen, Jianchun Li, Leandro Sanchez, & Andy Nguyễn. (2020). Predicting elastic modulus degradation of alkali silica reaction affected concrete using soft computing techniques: A comparative study. Construction and Building Materials. 274. 122024–122024. 24 indexed citations

Nguyen, Thuc N., R. Emre Erkmen, Leandro Sanchez, & Jianchun Li. (2020). Stiffness Degradation of Concrete Due to Alkali-Silica Reaction: A Computational Homogenization Approach. ACI Materials Journal. 117(6). 4 indexed citations

10.

Nguyen, Thuc N., Yang Yu, Jianchun Li, N Gowripalan, & Vute Sirivivatnanon. (2019). Elastic modulus of ASR-affected concrete: An evaluation using Artificial Neural Network. Computers and Concrete, an International Journal. 24(6). 541–553. 9 indexed citations

11.

Yu, Yang, Wengui Li, Jianchun Li, & Thuc N. Nguyen. (2018). A novel optimised self-learning method for compressive strength prediction of high performance concrete. Construction and Building Materials. 184. 229–247. 134 indexed citations

12.

Pansuk, Withit, et al.. (2018). Fire Resistance Performance of Reactive Powder Concrete Columns. Engineering Journal. 22(4). 67–82. 5 indexed citations

13.

Pansuk, Withit, et al.. (2017). Shear capacity of high performance fiber reinforced concrete I-beams. Construction and Building Materials. 157. 182–193. 60 indexed citations

14.

Nguyen, Thuc N., et al.. (2016). Experimental study of the punching shear behavior of high performance steel fiber reinforced concrete slabs considering casting directions. Engineering Structures. 131. 564–573. 30 indexed citations

15.

Hoang, Thang, et al.. (2013). Adaptive Cross-Device Gait Recognition Using a Mobile Accelerometer. Journal of Information Processing Systems. 9(2). 333–348. 44 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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