Chayut Ngamkhanong

1.6k total citations
80 papers, 1.2k citations indexed

About

Chayut Ngamkhanong is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Chayut Ngamkhanong has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Civil and Structural Engineering, 52 papers in Mechanical Engineering and 18 papers in Mechanics of Materials. Recurrent topics in Chayut Ngamkhanong's work include Railway Engineering and Dynamics (50 papers), Geotechnical Engineering and Underground Structures (36 papers) and Mechanical stress and fatigue analysis (15 papers). Chayut Ngamkhanong is often cited by papers focused on Railway Engineering and Dynamics (50 papers), Geotechnical Engineering and Underground Structures (36 papers) and Mechanical stress and fatigue analysis (15 papers). Chayut Ngamkhanong collaborates with scholars based in United Kingdom, Thailand and China. Chayut Ngamkhanong's co-authors include Sakdirat Kaewunruen, Suraparb Keawsawasvong, Chanachai Thongchom, Charalampos Baniotopoulos, Van Qui Lai, Thira Jearsiripongkul, Mayorkinos Papaelias, Lapyote Prasittisopin, Dan Li and Jim Shiau and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Chayut Ngamkhanong

74 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chayut Ngamkhanong United Kingdom 22 995 619 246 200 170 80 1.2k
Xiaopei Cai China 22 1.1k 1.1× 881 1.4× 45 0.2× 190 0.9× 132 0.8× 97 1.4k
Limin Peng China 19 739 0.7× 197 0.3× 517 2.1× 238 1.2× 150 0.9× 62 1.2k
Chenjie Gong China 24 1.5k 1.5× 207 0.3× 737 3.0× 254 1.3× 263 1.5× 69 1.7k
Morteza Esmaeili Iran 27 2.1k 2.1× 1.5k 2.4× 248 1.0× 374 1.9× 308 1.8× 140 2.5k
Javad Sadeghi Iran 30 1.3k 1.4× 1.4k 2.3× 88 0.4× 273 1.4× 150 0.9× 93 1.8k
Trung Ngo Australia 27 1.9k 1.9× 1.3k 2.1× 400 1.6× 381 1.9× 55 0.3× 75 2.1k
Jabbar Ali Zakeri Iran 24 1.2k 1.2× 1.4k 2.3× 85 0.3× 307 1.5× 93 0.5× 123 1.6k
Hao Fu China 18 302 0.3× 374 0.6× 42 0.2× 214 1.1× 74 0.4× 58 854

Countries citing papers authored by Chayut Ngamkhanong

Since Specialization
Citations

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

Fields of papers citing papers by Chayut Ngamkhanong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chayut Ngamkhanong

This figure shows the co-authorship network connecting the top 25 collaborators of Chayut Ngamkhanong. A scholar is included among the top collaborators of Chayut Ngamkhanong 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 Chayut Ngamkhanong. Chayut Ngamkhanong 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.
Wu, Qing, et al.. (2025). A review on railway track buckling prediction methods. Construction and Building Materials. 466. 140295–140295. 5 indexed citations
2.
Jing, Guoqing, et al.. (2025). Mechanical performance and dynamic characteristics of a novel bamboo-plywood composite railway sleeper. Construction and Building Materials. 476. 141264–141264. 1 indexed citations
3.
4.
Ngamkhanong, Chayut, et al.. (2025). Dynamics responses of railway bridges influenced by flooded ballasted tracks subjected to high-speed trains. Transportation Engineering. 20. 100334–100334.
5.
Nagarajan, Praveen, et al.. (2025). Performance Characterization of Fiber-Reinforced Rubcrete Sleepers. 30(4). 1 indexed citations
6.
7.
Ngamkhanong, Chayut, et al.. (2024). Effect of Graphene Quantum Dots (GQDs) on the mechanical, dynamic, and durability properties of concrete. Construction and Building Materials. 441. 137597–137597. 23 indexed citations
8.
Ngamkhanong, Chayut, et al.. (2024). Identification of dynamic properties of a flooded ballast layer using impact excitation technique and minimization algorithm. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
9.
Ngamkhanong, Chayut, et al.. (2024). Modal-based fragility analysis of high-rise tubular structures: A methodology for vulnerability assessment. Structures. 63. 106289–106289. 7 indexed citations
10.
Ngamkhanong, Chayut, et al.. (2024). Data driven machine learning prognostics of buckling failure modes in ballasted railway track. Discover Applied Sciences. 6(4). 6 indexed citations
11.
Nguyen, Phuoc Trong, et al.. (2023). Prediction of uplift resistance of circular anchors in anisotropic clays using MLR, ANN, and MARS. Applied Ocean Research. 136. 103584–103584. 14 indexed citations
12.
Senjuntichai, Teerapong, et al.. (2023). Stability analysis of multiple unsupported excavations in cohesive-frictional soils using finite element limit analysis (FELA) and an artificial neural network (ANN). Modeling Earth Systems and Environment. 10(2). 1589–1598. 7 indexed citations
13.
Nguyen, Phuoc Trong, et al.. (2023). Bearing capacity of ring footings in anisotropic clays: FELA and ANN. Neural Computing and Applications. 35(15). 10975–10996. 36 indexed citations
14.
Ngamkhanong, Chayut, Saif Alzabeebee, Suraparb Keawsawasvong, & Chanachai Thongchom. (2023). Performance of different machine learning techniques in predicting the flexural capacity of concrete beams reinforced with FRP rods. Asian Journal of Civil Engineering. 25(1). 525–536. 4 indexed citations
15.
Kaewunruen, Sakdirat, et al.. (2021). Reliability Quantification of Railway Electrification Mast Structure Considering Buckling. Frontiers in Built Environment. 7. 1 indexed citations
16.
Kaewunruen, Sakdirat, Chayut Ngamkhanong, & Alex Remennikov. (2019). Dynamic responses of railway sleepers to coupling vertical and lateral forces. Research Online (University of Wollongong). 669.
17.
Ngamkhanong, Chayut & Sakdirat Kaewunruen. (2018). The effect of ground borne vibrations from high speed train on overhead line equipment (OHLE) structure considering soil-structure interaction. The Science of The Total Environment. 627. 934–941. 17 indexed citations
18.
Watanabe, Tsutomu, et al.. (2018). Impact Load Response of PC Rail Joint Sleeper under a Passing Train. Journal of Physics Conference Series. 1106. 12008–12008. 3 indexed citations
19.
Ngamkhanong, Chayut, Sakdirat Kaewunruen, & Charalampos Baniotopoulos. (2017). A review on modelling and monitoring of railway ballast. University of Birmingham Research Portal (University of Birmingham). 4(3). 195–220. 21 indexed citations
20.
Ngamkhanong, Chayut, Dan Li, & Sakdirat Kaewunruen. (2017). Impact capacity reduction in railway prestressed concrete sleepers with vertical holes. IOP Conference Series Materials Science and Engineering. 236. 12041–12041. 9 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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