Ngoc-Son Dang

596 total citations · 1 hit paper
18 papers, 368 citations indexed

About

Ngoc-Son Dang is a scholar working on Civil and Structural Engineering, Building and Construction and Geology. According to data from OpenAlex, Ngoc-Son Dang has authored 18 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 6 papers in Building and Construction and 5 papers in Geology. Recurrent topics in Ngoc-Son Dang's work include Infrastructure Maintenance and Monitoring (9 papers), Concrete Corrosion and Durability (5 papers) and 3D Surveying and Cultural Heritage (5 papers). Ngoc-Son Dang is often cited by papers focused on Infrastructure Maintenance and Monitoring (9 papers), Concrete Corrosion and Durability (5 papers) and 3D Surveying and Cultural Heritage (5 papers). Ngoc-Son Dang collaborates with scholars based in Portugal, South Korea and Mozambique. Ngoc-Son Dang's co-authors include Chang-Su Shim, Chi-Ho Jeon, José C. Matos, Seongjun Park, João Poças Martins, Quyen T. Nguyen, Rui Calçada, Hélder S. Sousa, M.Q. Tran and Đặng Thị Thanh Huyền and has published in prestigious journals such as IEEE Transactions on Magnetics, Applied Sciences and Archives of Computational Methods in Engineering.

In The Last Decade

Ngoc-Son Dang

15 papers receiving 362 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.

Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model

2019 204 citations Chang-Su Shim, Ngoc-Son Dang et al. Structure and Infrastructure Engineering profile →

Peers

Ngoc-Son Dang

CSE

BC

IME

GEOLO

ME

Chi-Ho Jeon South Korea

Daguang Han China

Mingkai Li Hong Kong

Zhongya Mei China

Shiyao Cai China

Srijeet Halder United States

Daeyoon Moon South Korea

Siri Fernando Canada

Andrzej Szymon Borkowski Poland

Atefe Makhmalbaf United States

Chi-Ho Jeon South Korea

Ngoc-Son Dang

313 ×1.5

CSE

221 ×1.5

BC

114 ×1.0

IME

108 ×1.0

GEOLO

43 ×1.4

ME

Citations per year, relative to Ngoc-Son Dang Ngoc-Son Dang (= 1×) peers Chi-Ho Jeon

Countries citing papers authored by Ngoc-Son Dang

Since Specialization

Citations

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

Fields of papers citing papers by Ngoc-Son Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ngoc-Son Dang. 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 Ngoc-Son Dang. The network helps show where Ngoc-Son Dang may publish in the future.

Co-authorship network of co-authors of Ngoc-Son Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Ngoc-Son Dang. A scholar is included among the top collaborators of Ngoc-Son Dang 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 Ngoc-Son Dang. Ngoc-Son Dang 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:

18 of 18 papers shown

1.

Dang, Ngoc-Son, et al.. (2025). Strategies for Maximising the Value of Digital Twins for Bridge Management and Structural Monitoring: A Systematic Review. Archives of Computational Methods in Engineering. 32(7). 4555–4586.

2.

Matos, José C., et al.. (2025). Development of BIM Platform for Semantic Data Based on Standard WBS Codes. Buildings. 15(5). 711–711. 2 indexed citations

3.

Dang, Ngoc-Son, et al.. (2025). Performance of Fine-Tuning Techniques for Multilabel Classification of Surface Defects in Reinforced Concrete Bridges. Applied Sciences. 15(9). 4725–4725.

4.

Huyền, Đặng Thị Thanh, et al.. (2024). An Assessment of the Impact of Locally Recycled Cementitious Replacement Materials on the Strength of the Ultra-High-Performance Concrete. Applied Sciences. 14(17). 7484–7484. 2 indexed citations

5.

Nguyen, Nga T. T., Ye Xia, M.Q. Tran, et al.. (2024). Effects of Fly Ash and Graphene Oxide in Cement Mortar Considering the Local Recycled Material Context. Applied Sciences. 14(14). 6140–6140. 2 indexed citations

6.

Matos, José C., et al.. (2024). Bridge Assessment under Earthquake and Flood-Induced Scour. Applied Sciences. 14(12). 5174–5174. 1 indexed citations

7.

Matos, José C., et al.. (2023). Fluid–Soil–Structure Interactions in Semi-Buried Tanks: Quantitative and Qualitative Analysis of Seismic Behaviors. Applied Sciences. 13(15). 8891–8891. 2 indexed citations

8.

Tran, M.Q., Hélder S. Sousa, B. D. Nguyen, et al.. (2023). Structural Assessment Based on Vibration Measurement Test Combined with an Artificial Neural Network for the Steel Truss Bridge. Applied Sciences. 13(13). 7484–7484. 7 indexed citations

9.

Tran, M.Q., et al.. (2023). Finite Element Model Updating for Composite Plate Structures Using Particle Swarm Optimization Algorithm. Applied Sciences. 13(13). 7719–7719. 7 indexed citations

10.

Dang, Ngoc-Son, et al.. (2023). Performing Fatigue State Characterization in Railway Steel Bridges Using Digital Twin Models. Applied Sciences. 13(11). 6741–6741. 15 indexed citations

11.

Matos, José C., et al.. (2023). Developing a Comprehensive Quality Control Framework for Roadway Bridge Management: A Case Study Approach Using Key Performance Indicators. Applied Sciences. 13(13). 7985–7985. 7 indexed citations

12.

Dang, Ngoc-Son, et al.. (2020). A Master Digital Model for Suspension Bridges. Applied Sciences. 10(21). 7666–7666. 24 indexed citations

13.

Shim, Chang-Su, et al.. (2019). Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model. Structure and Infrastructure Engineering. 15(10). 1319–1332. 204 indexed citations breakdown →

14.

Shim, Chang-Su, et al.. (2019). Digital Twin Models for Maintenance of Cable-Supported Bridges. 737–742. 24 indexed citations

15.

Dang, Ngoc-Son & Chang-Su Shim. (2018). BIM authoring for an image-based bridge maintenance system of existing cable-supported bridges. IOP Conference Series Earth and Environmental Science. 143. 12032–12032. 13 indexed citations

16.

Shim, Chang-Su, Ngoc-Son Dang, & Seongjun Park. (2018). Three-Dimensional Information Delivery for Design and Construction of Prefabricated Bridge Piers. Structural Engineering International. 28(1). 6–12. 13 indexed citations

17.

Shim, Chang-Su, et al.. (2017). Development of BIM-based bridge maintenance system for cable-stayed bridges. Smart Structures and Systems. 20(6). 697–708. 45 indexed citations

18.

Borovkov, Alexey, et al.. (1996). ITER central solenoid prototype sample design and three dimensional finite element modeling. IEEE Transactions on Magnetics. 32(4). 2982–2985.

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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