Dao‐Yuan Tan

803 total citations
48 papers, 543 citations indexed

About

Dao‐Yuan Tan is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Ocean Engineering. According to data from OpenAlex, Dao‐Yuan Tan has authored 48 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 16 papers in Management, Monitoring, Policy and Law and 12 papers in Ocean Engineering. Recurrent topics in Dao‐Yuan Tan's work include Geotechnical Engineering and Underground Structures (16 papers), Landslides and related hazards (16 papers) and Advanced Fiber Optic Sensors (12 papers). Dao‐Yuan Tan is often cited by papers focused on Geotechnical Engineering and Underground Structures (16 papers), Landslides and related hazards (16 papers) and Advanced Fiber Optic Sensors (12 papers). Dao‐Yuan Tan collaborates with scholars based in Hong Kong, China and Macao. Dao‐Yuan Tan's co-authors include Jian‐Hua Yin, Hong‐Hu Zhu, Wei-Qiang Feng, Shuai Zhao, Wen-Bo Chen, Bin Shi, Siqi Zhang, Huafu Pei, Aiwu Yang and Feiyang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Dao‐Yuan Tan

45 papers receiving 528 citations

Peers

Dao‐Yuan Tan
Kun Song China
Wei-Qiang Feng China
Simonetta Cola Italy
Xudong Han China
Jelke Dijkstra Sweden
Dongwook Kim South Korea
Yong-Seok Seo South Korea
Kun Song China
Dao‐Yuan Tan
Citations per year, relative to Dao‐Yuan Tan Dao‐Yuan Tan (= 1×) peers Kun Song

Countries citing papers authored by Dao‐Yuan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Dao‐Yuan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dao‐Yuan Tan. 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 Dao‐Yuan Tan. The network helps show where Dao‐Yuan Tan may publish in the future.

Co-authorship network of co-authors of Dao‐Yuan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Dao‐Yuan Tan. A scholar is included among the top collaborators of Dao‐Yuan Tan 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 Dao‐Yuan Tan. Dao‐Yuan Tan 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.
Zhang, Siqi, Dao‐Yuan Tan, Hong‐Hu Zhu, & Chao Zhou. (2025). Estimating family of soil–water characteristic curves for sandy soils from unimodal grain size distribution and void ratio. Journal of Hydrology. 652. 132671–132671. 1 indexed citations
2.
Zhao, Shuai, et al.. (2025). A deep learning-based adaptive denoising approach for fine identification of rock microcracks from noisy strain data. Engineering Applications of Artificial Intelligence. 148. 110471–110471. 1 indexed citations
3.
Zhang, Siqi, Dao‐Yuan Tan, Hong‐Hu Zhu, & Wei Zhang. (2025). Molecular dynamic simulations on the hydrogen wettability of caprock: Considering effects of mineralogy, pressure, temperature and salinity. International Journal of Hydrogen Energy. 109. 367–382. 2 indexed citations
4.
Zhao, Shuai, et al.. (2025). Deep learning-based adaptive denoising method for prediction of crack opening displacement of rock from noisy strain data. International Journal of Rock Mechanics and Mining Sciences. 190. 106112–106112. 1 indexed citations
5.
Tan, Dao‐Yuan, et al.. (2025). Nature‐Based Profiling of Subsurface Soil Stiffness Driven by Tidal Forces. Geophysical Research Letters. 52(21). 1 indexed citations
6.
Tian, Feng, et al.. (2025). Multi-temporal InSAR-based landslide dynamic susceptibility mapping of Fengjie County, Three Gorges Reservoir Area, China. Journal of Rock Mechanics and Geotechnical Engineering. 17(12). 7653–7664. 7 indexed citations
7.
Tan, Dao‐Yuan, Jing Wang, Wei Zhang, et al.. (2025). Real-time monitoring of water states in large-diameter aqueducts – learning from distributed acoustic sensing signals. Communications Engineering. 4(1). 156–156. 1 indexed citations
8.
Zhao, Shuai, Feiyang Wang, Dao‐Yuan Tan, & Aiwu Yang. (2024). A deep learning informed-mesoscale cohesive numerical model for investigating the mechanical behavior of shield tunnels with crack damage. Structures. 66. 106902–106902. 28 indexed citations
9.
Zhao, Shuai, et al.. (2024). Smart prediction of rock crack opening displacement from noisy data recorded by distributed fiber optic sensing. Journal of Rock Mechanics and Geotechnical Engineering. 17(5). 2619–2632. 7 indexed citations
10.
Wang, Deyang, et al.. (2024). Structural behavior of triple-layer composite lining of a water conveyance tunnel: Insight from full-scale loading tests. Journal of Rock Mechanics and Geotechnical Engineering. 17(11). 6915–6931. 7 indexed citations
11.
Wang, Jing, et al.. (2024). Subsurface multi-physical monitoring of urban development zone using a fiber optic nerve system. Journal of Rock Mechanics and Geotechnical Engineering. 17(7). 4098–4108. 2 indexed citations
12.
Wang, Jing, Hong‐Hu Zhu, Gang Cheng, et al.. (2024). Enhancing subsurface seismic profiling with distributed acoustic sensing and optimization algorithms. Journal of Rock Mechanics and Geotechnical Engineering. 17(6). 3632–3643. 1 indexed citations
13.
Zhu, Hong‐Hu, et al.. (2024). Modeling pipe-soil interaction under surface loading using material point method. Tunnelling and Underground Space Technology. 147. 105709–105709. 4 indexed citations
14.
Wang, Jing, et al.. (2024). A Novel Method for Integrity Assessment of Soil-Nailing Works with Actively Heated Fiber-Optic Sensors. Journal of Geotechnical and Geoenvironmental Engineering. 150(8). 31 indexed citations
15.
Liu, Kai, et al.. (2024). A Case Study of Performance Comparison Between Vacuum Preloading and Fill Surcharge for Soft Ground Improvement. International Journal of Geosynthetics and Ground Engineering. 10(1). 2 indexed citations
16.
Wang, Deyang, Hong‐Hu Zhu, Bing Wu, et al.. (2024). Performance evaluation of underground pipelines subjected to landslide thrust with fiber optic strain sensing nerves. Acta Geotechnica. 19(10). 6993–7009. 10 indexed citations
17.
Liu, Kai, Wen-Bo Chen, Wei-Qiang Feng, et al.. (2024). Variation of Secant Young’s Modulus in an Unsaturated Gap-Graded Granular Fill. Transportation Geotechnics. 49. 101416–101416. 2 indexed citations
18.
Zhang, Siqi, Huafu Pei, Michael Plötze, Chao Zhang, & Dao‐Yuan Tan. (2024). Investigation of Bound Water in Clay Based on Isothermal Adsorption Experiments and Metadynamics Studies from the Perspective of Water Potential. Journal of Geotechnical and Geoenvironmental Engineering. 150(11). 10 indexed citations
19.
Wang, Jing, Hong‐Hu Zhu, Dao‐Yuan Tan, et al.. (2023). Thermal integrity profiling of cast-in-situ piles in sand using fiber-optic distributed temperature sensing. Journal of Rock Mechanics and Geotechnical Engineering. 15(12). 3244–3255. 8 indexed citations
20.
Tan, Dao‐Yuan, et al.. (2018). Large-scale physical modelling study of a flexible barrier under the impact of granular flows. Natural hazards and earth system sciences. 18(10). 2625–2640. 16 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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