Tung Khuc

683 total citations
11 papers, 535 citations indexed

About

Tung Khuc is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Tung Khuc has authored 11 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Civil and Structural Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Geology. Recurrent topics in Tung Khuc's work include Infrastructure Maintenance and Monitoring (9 papers), Structural Health Monitoring Techniques (8 papers) and Concrete Corrosion and Durability (4 papers). Tung Khuc is often cited by papers focused on Infrastructure Maintenance and Monitoring (9 papers), Structural Health Monitoring Techniques (8 papers) and Concrete Corrosion and Durability (4 papers). Tung Khuc collaborates with scholars based in United States, Vietnam and Australia. Tung Khuc's co-authors include F. Necati Çatbaş, Tuấn Anh Nguyễn, Andy Nguyễn, Tommy H.T. Chan, David Thambiratnam, Masoud Malekzadeh, Duc Hoa Pham, Tran Van Anh, Nguyễn Văn Tuấn and Huong Ha and has published in prestigious journals such as Journal of Structural Engineering, Measurement and Structural Control and Health Monitoring.

In The Last Decade

Tung Khuc

11 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tung Khuc United States 7 458 195 103 96 44 11 535
Zhanxiong Ma South Korea 11 291 0.6× 154 0.8× 54 0.5× 103 1.1× 71 1.6× 25 402
Krzysztof Holak Poland 9 252 0.6× 183 0.9× 35 0.3× 66 0.7× 55 1.3× 33 368
Shang Jiang China 10 461 1.0× 109 0.6× 137 1.3× 47 0.5× 109 2.5× 19 565
Kyoung‐Chan Lee South Korea 11 429 0.9× 97 0.5× 50 0.5× 72 0.8× 114 2.6× 33 528
Piotr Olaszek Poland 7 306 0.7× 125 0.6× 41 0.4× 63 0.7× 52 1.2× 22 361
Xiaoming Huang China 11 407 0.9× 41 0.2× 42 0.4× 44 0.5× 82 1.9× 51 524
Shitong Hou China 11 376 0.8× 67 0.3× 40 0.4× 35 0.4× 74 1.7× 35 508
Zhexiong Shang United States 9 146 0.3× 117 0.6× 64 0.6× 28 0.3× 19 0.4× 16 301
Jinxuan Xu China 4 217 0.5× 93 0.5× 72 0.7× 21 0.2× 65 1.5× 6 366
Kyle Dunphy Canada 7 353 0.8× 37 0.2× 81 0.8× 21 0.2× 82 1.9× 9 488

Countries citing papers authored by Tung Khuc

Since Specialization
Citations

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

Fields of papers citing papers by Tung Khuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tung Khuc. 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 Tung Khuc. The network helps show where Tung Khuc may publish in the future.

Co-authorship network of co-authors of Tung Khuc

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

All Works

11 of 11 papers shown
2.
Pham, Duc Hoa, et al.. (2020). Investigation of flexural behavior of a prestressed girder for bridges using nonproprietary UHPC. Advances in concrete construction. 10(1). 71–79. 5 indexed citations
3.
Khuc, Tung, et al.. (2020). Swaying displacement measurement for structural monitoring using computer vision and an unmanned aerial vehicle. Measurement. 159. 107769–107769. 68 indexed citations
4.
Khuc, Tung, et al.. (2020). A Nonparametric Method for Identifying Structural Damage in Bridges Based on the Best-Fit Auto-Regressive Models. International Journal of Structural Stability and Dynamics. 20(10). 2042012–2042012. 9 indexed citations
5.
Nguyễn, Andy, et al.. (2020). Locating and Quantifying Damage in Beam-like Structures Using Modal Flexibility-based Deflection Changes. International Journal of Structural Stability and Dynamics. 20(10). 2042008–2042008. 19 indexed citations
6.
Khuc, Tung & F. Necati Çatbaş. (2017). Structural Identification Using Computer Vision–Based Bridge Health Monitoring. Journal of Structural Engineering. 144(2). 86 indexed citations
7.
Khuc, Tung, et al.. (2016). Hybrid Sensor-Camera Monitoring for Damage Detection: Case Study of a Real Bridge. Journal of Bridge Engineering. 21(6). 40 indexed citations
8.
Khuc, Tung. (2016). Computer Vision Based Structural Identification Framework for Bridge Health Mornitoring. Journal of International Crisis and Risk Communication Research. 2 indexed citations
9.
Khuc, Tung & F. Necati Çatbaş. (2016). Completely contactless structural health monitoring of real-life structures using cameras and computer vision. Structural Control and Health Monitoring. 24(1). e1852–e1852. 168 indexed citations
10.
Khuc, Tung & F. Necati Çatbaş. (2016). Computer vision-based displacement and vibration monitoring without using physical target on structures. Structure and Infrastructure Engineering. 13(4). 505–516. 128 indexed citations
11.
Çatbaş, F. Necati, Masoud Malekzadeh, & Tung Khuc. (2013). Movable Bridge Maintenance Monitoring. 5 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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