Thanh‐Canh Huynh

2.7k total citations
94 papers, 2.2k citations indexed

About

Thanh‐Canh Huynh is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Thanh‐Canh Huynh has authored 94 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Civil and Structural Engineering, 45 papers in Mechanics of Materials and 24 papers in Mechanical Engineering. Recurrent topics in Thanh‐Canh Huynh's work include Structural Health Monitoring Techniques (66 papers), Ultrasonics and Acoustic Wave Propagation (44 papers) and Structural Engineering and Vibration Analysis (19 papers). Thanh‐Canh Huynh is often cited by papers focused on Structural Health Monitoring Techniques (66 papers), Ultrasonics and Acoustic Wave Propagation (44 papers) and Structural Engineering and Vibration Analysis (19 papers). Thanh‐Canh Huynh collaborates with scholars based in Vietnam, South Korea and Nepal. Thanh‐Canh Huynh's co-authors include Jeong‐Tae Kim, Jae Hyung Park, Ngoc‐Loi Dang, Thi Tuong Vy Phan, Duc-Duy Ho, Junghwan Oh, So‐Young Lee, Nhat‐Duc Hoang, Quoc-Bao Ta and Thanh‐Truong Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Sound and Vibration.

In The Last Decade

Thanh‐Canh Huynh

89 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanh‐Canh Huynh Vietnam 27 1.5k 922 668 215 196 94 2.2k
Cheng Yuan China 26 1.1k 0.8× 369 0.4× 238 0.4× 129 0.6× 130 0.7× 93 1.9k
Daniel Dias‐da‐Costa Australia 30 2.0k 1.4× 927 1.0× 370 0.6× 49 0.2× 121 0.6× 115 2.9k
Tong Guo China 33 2.8k 1.9× 610 0.7× 891 1.3× 117 0.5× 49 0.3× 248 3.5k
Mijia Yang United States 27 1.8k 1.2× 897 1.0× 453 0.7× 342 1.6× 34 0.2× 90 2.7k
Yingjun Wang China 26 1.2k 0.8× 839 0.9× 520 0.8× 40 0.2× 49 0.3× 112 2.2k
Tat‐Hean Gan United Kingdom 24 374 0.3× 673 0.7× 666 1.0× 185 0.9× 38 0.2× 95 1.5k
Paul Ziehl United States 33 2.7k 1.9× 1.3k 1.4× 718 1.1× 113 0.5× 38 0.2× 171 3.8k
Glenn Washer United States 24 1.5k 1.0× 513 0.6× 341 0.5× 139 0.6× 61 0.3× 93 1.8k
Dong Xu China 22 513 0.4× 279 0.3× 531 0.8× 91 0.4× 43 0.2× 97 1.7k
Neil A. Hoult Canada 32 2.1k 1.4× 188 0.2× 434 0.6× 849 3.9× 176 0.9× 133 2.5k

Countries citing papers authored by Thanh‐Canh Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Thanh‐Canh Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanh‐Canh Huynh. 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 Thanh‐Canh Huynh. The network helps show where Thanh‐Canh Huynh may publish in the future.

Co-authorship network of co-authors of Thanh‐Canh Huynh

This figure shows the co-authorship network connecting the top 25 collaborators of Thanh‐Canh Huynh. A scholar is included among the top collaborators of Thanh‐Canh Huynh 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 Thanh‐Canh Huynh. Thanh‐Canh Huynh 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.
Huynh, Thanh‐Canh, et al.. (2025). A data-driven method to assess prestress-loss in post-tensioned beams via LSTM and dynamic features. Structures. 77. 109093–109093.
2.
Dang, Ngoc‐Loi, et al.. (2024). Enhancement of PZT-based damage detection in real-scale post-tensioned anchorage under ambient conditions. Journal of Constructional Steel Research. 220. 108841–108841. 3 indexed citations
3.
Hoang, Nhat‐Duc, et al.. (2024). A Proof-of-Concept Study of Stability Monitoring of Implant Structure by Deep Learning of Local Vibrational Characteristics. Journal of Sensor and Actuator Networks. 13(5). 52–52. 1 indexed citations
4.
Pradhan, Ananta Man Singh, et al.. (2023). Bone-Implant Osseointegration Monitoring Using Electro-mechanical Impedance Technique and Convolutional Neural Network: A Numerical Study. Journal of Nondestructive Evaluation. 43(1). 4 indexed citations
5.
Nguyen, Thanh‐Truong, et al.. (2023). Crack Detection in Bearing Plate of Prestressed Anchorage Using Electromechanical Impedance Technique: A Numerical Investigation. Buildings. 13(4). 1008–1008. 8 indexed citations
6.
Ho, Duc-Duy, et al.. (2022). Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method. Advances in Civil Engineering. 2022(1). 8 indexed citations
7.
Nguyen, Thanh‐Truong, Jeong‐Tae Kim, Quoc-Bao Ta, et al.. (2021). Deep learning-based functional assessment of piezoelectric-based smart interface under various degradations. Smart Structures and Systems. 28(1). 69. 14 indexed citations
8.
Ho, Duc-Duy, et al.. (2021). Crack Detection in Plate‐Like Structures Using Modal Strain Energy Method considering Various Boundary Conditions. Shock and Vibration. 2021(1). 6 indexed citations
9.
Ta, Quoc-Bao, et al.. (2021). A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application. Computers in Biology and Medicine. 136. 104610–104610. 25 indexed citations
10.
Lee, So‐Young, et al.. (2019). Vibration characteristics of offshore wind turbine tower with gravity-based foundation under wave excitation. Smart Structures and Systems. 23(5). 405–420. 1 indexed citations
11.
Lee, So‐Young, Thanh‐Canh Huynh, Ngoc‐Loi Dang, & Jeong‐Tae Kim. (2019). Vibration characteristics of caisson breakwater for various waves, sea levels, and foundations. Smart Structures and Systems. 24(4). 525–539. 4 indexed citations
12.
Huynh, Thanh‐Canh, et al.. (2018). Vibration-based damage detection in wind turbine towers using artificial neural networks. 5(4). 507. 22 indexed citations
13.
Huynh, Thanh‐Canh, Ngoc‐Loi Dang, & Jeong‐Tae Kim. (2018). PCA-based filtering of temperature effect on impedance monitoring in prestressed tendon anchorage. Smart Structures and Systems. 22(1). 57. 26 indexed citations
14.
Huynh, Thanh‐Canh & Jeong‐Tae Kim. (2017). Quantitative damage identification in tendon anchorage via PZT interface-based impedance monitoring technique. Smart Structures and Systems. 20(2). 181. 32 indexed citations
15.
Huynh, Thanh‐Canh, Ngoc‐Loi Dang, & Jeong‐Tae Kim. (2017). Advances and challenges in impedance-based structural health monitoring. 4(4). 301. 41 indexed citations
16.
Huynh, Thanh‐Canh, et al.. (2017). Vibration-based damage alarming criteria for wind turbine towers. 4(3). 221–236. 5 indexed citations
17.
18.
Yi, Jin‐Hak, et al.. (2013). Evaluation of Vibration Characteristics of an Existing Harbor Caisson Structure Using Tugboat Impact Tests and Modal Analysis. International Journal of Distributed Sensor Networks. 9(11). 806482–806482. 7 indexed citations
19.
Huynh, Thanh‐Canh, So‐Young Lee, Jeong‐Tae Kim, & Sang‐Hun Han. (2012). Relative Motions in Multiple Caisson Units on Damaged Foundation. 1803–1806.
20.
Huynh, Thanh‐Canh. (2003). Vibration Characteristics of Hydro Plant Equipment. Water Resources and Hydropower Engineering. 1 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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