Dai Quoc Tran

780 total citations
22 papers, 496 citations indexed

About

Dai Quoc Tran is a scholar working on Civil and Structural Engineering, Radiological and Ultrasound Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dai Quoc Tran has authored 22 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Civil and Structural Engineering, 8 papers in Radiological and Ultrasound Technology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dai Quoc Tran's work include Occupational Health and Safety Research (8 papers), Fire Detection and Safety Systems (7 papers) and Infrastructure Maintenance and Monitoring (7 papers). Dai Quoc Tran is often cited by papers focused on Occupational Health and Safety Research (8 papers), Fire Detection and Safety Systems (7 papers) and Infrastructure Maintenance and Monitoring (7 papers). Dai Quoc Tran collaborates with scholars based in South Korea and United States. Dai Quoc Tran's co-authors include Minsoo Park, Seunghee Park, Daekyo Jung, JinYeong Bak, Seunghee Park, Ju‐Won Kim, Seungsoo Lee, Wonkyu Kim, Armstrong Aboah and Solmoi Park and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Dai Quoc Tran

22 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dai Quoc Tran South Korea 13 147 143 123 102 61 22 496
Minghui Yu China 14 108 0.7× 34 0.2× 43 0.3× 123 1.2× 15 0.2× 30 658
Pengju Zhao China 15 68 0.5× 43 0.3× 59 0.5× 271 2.7× 38 0.6× 22 537
Chengbo Ai United States 14 88 0.6× 96 0.7× 22 0.2× 350 3.4× 88 1.4× 64 649
Qiubing Ren China 21 135 0.9× 54 0.4× 57 0.5× 927 9.1× 151 2.5× 57 1.3k
Jun Kang Chow Hong Kong 10 27 0.2× 55 0.4× 39 0.3× 339 3.3× 68 1.1× 24 582
Zhaoyang Song China 12 40 0.3× 40 0.3× 86 0.7× 373 3.7× 22 0.4× 23 572
Xiaosong Shu China 16 55 0.4× 33 0.2× 57 0.5× 573 5.6× 84 1.4× 19 727
Xiqiang Wu Hong Kong 15 496 3.4× 35 0.2× 94 0.8× 103 1.0× 47 0.8× 21 714

Countries citing papers authored by Dai Quoc Tran

Since Specialization
Citations

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

Fields of papers citing papers by Dai Quoc Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai Quoc Tran. 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 Dai Quoc Tran. The network helps show where Dai Quoc Tran may publish in the future.

Co-authorship network of co-authors of Dai Quoc Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Quoc Tran. A scholar is included among the top collaborators of Dai Quoc Tran 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 Dai Quoc Tran. Dai Quoc Tran 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.
Tran, Dai Quoc, et al.. (2025). Neural radiance fields for construction site scene representation and progress evaluation with BIM. Automation in Construction. 172. 106013–106013. 1 indexed citations
2.
Tran, Dai Quoc, Armstrong Aboah, Martin Do, et al.. (2025). Visual Question Answering-based Referring Expression Segmentation for construction safety analysis. Automation in Construction. 174. 106127–106127. 1 indexed citations
3.
Tran, Dai Quoc, et al.. (2024). Vision-based motion prediction for construction workers safety in real-time multi-camera system. Advanced Engineering Informatics. 62. 102898–102898. 11 indexed citations
4.
Park, Minsoo, et al.. (2024). Automated construction safety reporting system integrating deep learning-based real-time advanced detection and visual question answering. Advances in Engineering Software. 198. 103779–103779. 6 indexed citations
5.
Tran, Dai Quoc, et al.. (2024). Leveraging Semisupervised Learning for Domain Adaptation: Enhancing Safety at Construction Sites through Long-Tailed Object Detection. Journal of Construction Engineering and Management. 151(1). 6 indexed citations
6.
Tran, Dai Quoc, et al.. (2024). Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets. 7056–7065. 11 indexed citations
7.
Tran, Dai Quoc, et al.. (2024). NeRF-Con : Neural Radiance Fields for Automated Construction Progress Monitoring. Proceedings of the ... ISARC. 2 indexed citations
8.
Tran, Dai Quoc, et al.. (2023). Unsupervised domain adaptation-based crack segmentation using transformer network. Journal of Building Engineering. 80. 107889–107889. 23 indexed citations
9.
Park, Minsoo, et al.. (2023). Real-time monitoring unsafe behaviors of portable multi-position ladder worker using deep learning based on vision data. Journal of Safety Research. 87. 465–480. 13 indexed citations
10.
Tran, Dai Quoc, et al.. (2023). Leveraging Future Trajectory Prediction for Multi-Camera People Tracking. 5399–5408. 12 indexed citations
11.
Park, Minsoo, Dai Quoc Tran, JinYeong Bak, & Seunghee Park. (2023). Small and overlapping worker detection at construction sites. Automation in Construction. 151. 104856–104856. 44 indexed citations
12.
Park, Minsoo, Dai Quoc Tran, JinYeong Bak, & Seunghee Park. (2022). Advanced wildfire detection using generative adversarial network-based augmented datasets and weakly supervised object localization. International Journal of Applied Earth Observation and Geoinformation. 114. 103052–103052. 39 indexed citations
13.
Tran, Dai Quoc, et al.. (2022). Forest-Fire Response System Using Deep-Learning-Based Approaches With CCTV Images and Weather Data. IEEE Access. 10. 66061–66071. 33 indexed citations
14.
Park, Minsoo, Dai Quoc Tran, Seungsoo Lee, & Seunghee Park. (2021). Multilabel Image Classification with Deep Transfer Learning for Decision Support on Wildfire Response. Remote Sensing. 13(19). 3985–3985. 26 indexed citations
15.
16.
Tran, Dai Quoc, et al.. (2020). Determination of Plate Corrosion Dimension Using Nd:YAG Pulsed Laser-generated Wavefield and Experimental Dispersion Curves. Materials. 13(6). 1436–1436. 4 indexed citations
17.
Park, Minsoo, Dai Quoc Tran, Daekyo Jung, & Seunghee Park. (2020). Wildfire-Detection Method Using DenseNet and CycleGAN Data Augmentation-Based Remote Camera Imagery. Remote Sensing. 12(22). 3715–3715. 61 indexed citations
18.
Tran, Dai Quoc, Minsoo Park, Daekyo Jung, & Seunghee Park. (2020). Damage-Map Estimation Using UAV Images and Deep Learning Algorithms for Disaster Management System. Remote Sensing. 12(24). 4169–4169. 51 indexed citations
19.
Jung, Daekyo, et al.. (2020). Conceptual Framework of an Intelligent Decision Support System for Smart City Disaster Management. Applied Sciences. 10(2). 666–666. 72 indexed citations
20.
Kim, Ju‐Won, et al.. (2019). MFL-Based Local Damage Diagnosis and SVM-Based Damage Type Classification for Wire Rope NDE. Materials. 12(18). 2894–2894. 29 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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