Nhan D. Dao

612 total citations
22 papers, 467 citations indexed

About

Nhan D. Dao is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Nhan D. Dao has authored 22 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 4 papers in Control and Systems Engineering and 4 papers in Building and Construction. Recurrent topics in Nhan D. Dao's work include Seismic Performance and Analysis (14 papers), Structural Health Monitoring Techniques (13 papers) and Structural Engineering and Vibration Analysis (4 papers). Nhan D. Dao is often cited by papers focused on Seismic Performance and Analysis (14 papers), Structural Health Monitoring Techniques (13 papers) and Structural Engineering and Vibration Analysis (4 papers). Nhan D. Dao collaborates with scholars based in Vietnam, South Korea and United States. Nhan D. Dao's co-authors include Keri L. Ryan, Hoang D. Nguyen, Myoungsu Shin, Eiji Sato, Tomohiro Sasaki, Emrah Erduran, Hieu Nguyen‐Van, Taichiro Okazaki, Thanh-Truc Nguyen and Stephen A. Mahin and has published in prestigious journals such as Engineering Structures, Journal of Structural Engineering and Earthquake Engineering & Structural Dynamics.

In The Last Decade

Nhan D. Dao

20 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nhan D. Dao Vietnam 11 443 61 41 35 16 22 467
Cenk Alhan Türkiye 14 613 1.4× 84 1.4× 50 1.2× 32 0.9× 18 1.1× 35 651
Shahram Taghavi United States 7 587 1.3× 63 1.0× 77 1.9× 33 0.9× 6 0.4× 9 623
Touraj Taghikhany Iran 13 391 0.9× 65 1.1× 41 1.0× 52 1.5× 3 0.2× 39 426
Xinzhi Dang China 12 397 0.9× 37 0.6× 106 2.6× 37 1.1× 8 0.5× 47 433
Panam Zarfam Iran 11 254 0.6× 54 0.9× 55 1.3× 57 1.6× 11 0.7× 33 318
Sung Gook Cho South Korea 11 287 0.6× 46 0.8× 82 2.0× 26 0.7× 6 0.4× 31 312
Jinping Yang China 12 338 0.8× 87 1.4× 26 0.6× 37 1.1× 28 1.8× 24 375
Sayed Mahmoud Egypt 12 529 1.2× 107 1.8× 63 1.5× 38 1.1× 5 0.3× 42 570
Marco Furinghetti Italy 15 399 0.9× 70 1.1× 77 1.9× 49 1.4× 5 0.3× 27 437
Junwon Seo United States 9 405 0.9× 22 0.4× 79 1.9× 27 0.8× 6 0.4× 15 417

Countries citing papers authored by Nhan D. Dao

Since Specialization
Citations

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

Fields of papers citing papers by Nhan D. Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nhan D. Dao. 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 Nhan D. Dao. The network helps show where Nhan D. Dao may publish in the future.

Co-authorship network of co-authors of Nhan D. Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Nhan D. Dao. A scholar is included among the top collaborators of Nhan D. Dao 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 Nhan D. Dao. Nhan D. Dao 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.
2.
Dao, Nhan D., et al.. (2025). Capability of machine learning to predict seismic damage states of reinforced concrete wall structures. Journal of Building Engineering. 106. 112620–112620.
3.
Dao, Nhan D., et al.. (2024). Sliding and rocking response of a flexible structure on a rigid block using floating frame of reference formulation. Nonlinear Dynamics. 113(8). 7961–7983. 1 indexed citations
4.
Dao, Nhan D.. (2022). Simple Equations for Predicting Maximum Displacement of Isolation Systems Using Lead Rubber Bearings. Periodica Polytechnica Civil Engineering. 2 indexed citations
5.
Dao, Nhan D.. (2022). Practical Equations for Predicting Maximum Displacement of Single Friction Pendulum Isolation Systems. Practice Periodical on Structural Design and Construction. 27(3). 2 indexed citations
6.
Nguyen, Hoang D., Nhan D. Dao, & Myoungsu Shin. (2022). Machine learning-based prediction for maximum displacement of seismic isolation systems. Journal of Building Engineering. 51. 104251–104251. 50 indexed citations
7.
Nguyen, Hoang D., Nhan D. Dao, & Myoungsu Shin. (2021). Prediction of seismic drift responses of planar steel moment frames using artificial neural network and extreme gradient boosting. Engineering Structures. 242. 112518–112518. 77 indexed citations
8.
Nguyen, Thanh-Truc & Nhan D. Dao. (2021). Evaluating the Accuracy of an Equivalent Linear Model in Predicting Peak Displacement of Seismic Isolation Systems using Single Friction Pendulum Bearings. Periodica Polytechnica Civil Engineering. 3 indexed citations
9.
Nguyen, Hoang D., et al.. (2021). Machine learning models for predicting maximum displacement of triple pendulum isolation systems. Structures. 36. 404–415. 29 indexed citations
10.
Dao, Nhan D., et al.. (2020). A new statistical equation for predicting nonlinear time history displacement of seismic isolation systems. Structures. 24. 177–190. 17 indexed citations
11.
Dao, Nhan D. & Keri L. Ryan. (2020). Soil–structure Interaction and Vertical-horizontal Coupling Effects in Buildings Isolated by Friction Bearings. Journal of Earthquake Engineering. 26(4). 2124–2147. 9 indexed citations
12.
Nguyen‐Van, Hieu, et al.. (2020). An investigation of human comfort criteria for footfall induced floor vibrations. IOP Conference Series Materials Science and Engineering. 869(5). 52004–52004. 2 indexed citations
13.
Ryan, Keri L. & Nhan D. Dao. (2015). Influence of Vertical Ground Shaking on Horizontal Response of Seismically Isolated Buildings with Friction Bearings. Journal of Structural Engineering. 142(1). 40 indexed citations
14.
Ryan, Keri L., et al.. (2014). Evaluation of Assumptions Used in Engineering Practice to Model Buildings Isolated with Triple Pendulum Isolators in SAP2000. Earthquake Spectra. 31(2). 637–660. 27 indexed citations
15.
Ryan, Keri L., et al.. (2013). Large Scale Earthquake Simulation of a Hybrid Lead Rubber Isolation System Designed under Nuclear Seismicity Considerations. 7 indexed citations
16.
Dao, Nhan D. & Keri L. Ryan. (2013). Computational Simulation of a Full-Scale, Fixed-Base, and Isolated-Base Steel Moment Frame Building Tested at E-Defense. Journal of Structural Engineering. 140(8). 16 indexed citations
17.
Dao, Nhan D., Keri L. Ryan, Eiji Sato, & Tomohiro Sasaki. (2013). Predicting the displacement of triple pendulum™ bearings in a full‐scale shaking experiment using a three‐dimensional element. Earthquake Engineering & Structural Dynamics. 42(11). 1677–1695. 93 indexed citations
18.
Dao, Nhan D.. (2012). Seismic Response of a Full-scale 5-story Steel Frame Building Isolated by Triple Pendulum Bearings under Three-Dimensional Excitations. 3 indexed citations
19.
20.
Erduran, Emrah, Nhan D. Dao, & Keri L. Ryan. (2010). Comparative response assessment of minimally compliant low‐rise conventional and base‐isolated steel frames. Earthquake Engineering & Structural Dynamics. 40(10). 1123–1141. 58 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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