Chaolin Song

497 total citations
23 papers, 354 citations indexed

About

Chaolin Song is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Building and Construction. According to data from OpenAlex, Chaolin Song has authored 23 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Civil and Structural Engineering, 11 papers in Statistics, Probability and Uncertainty and 4 papers in Building and Construction. Recurrent topics in Chaolin Song's work include Probabilistic and Robust Engineering Design (10 papers), Structural Health Monitoring Techniques (9 papers) and Concrete Corrosion and Durability (8 papers). Chaolin Song is often cited by papers focused on Probabilistic and Robust Engineering Design (10 papers), Structural Health Monitoring Techniques (9 papers) and Concrete Corrosion and Durability (8 papers). Chaolin Song collaborates with scholars based in China, United States and Hong Kong. Chaolin Song's co-authors include Rucheng Xiao, Abdollah Shafieezadeh, Chi Zhang, Zeyu Wang, Yinghao Zhao, Bin Sun, Rui Guo, Xinwei Zhao, Bo Sun and Hui Chen and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Engineering Structures and Journal of Structural Engineering.

In The Last Decade

Chaolin Song

22 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaolin Song China 11 237 109 62 45 45 23 354
Ali Hadidi Iran 10 314 1.3× 113 1.0× 52 0.8× 29 0.6× 25 0.6× 25 368
Seyed Rohollah Hoseini Vaez Iran 15 413 1.7× 105 1.0× 68 1.1× 24 0.5× 47 1.0× 45 482
M.J. Fadaee Iran 13 408 1.7× 122 1.1× 93 1.5× 27 0.6× 58 1.3× 40 507
Ayli̇n Ece Kayabekir Türkiye 11 310 1.3× 26 0.2× 70 1.1× 41 0.9× 30 0.7× 37 395
Giuseppe Abbiati Denmark 14 446 1.9× 118 1.1× 57 0.9× 95 2.1× 161 3.6× 49 586
Omid Sedehi Hong Kong 10 300 1.3× 159 1.5× 44 0.7× 80 1.8× 65 1.4× 23 378
M. Kalateh-Ahani Iran 10 276 1.2× 48 0.4× 120 1.9× 17 0.4× 13 0.3× 13 343
Ehsan Jahani Iran 8 254 1.1× 64 0.6× 119 1.9× 12 0.3× 22 0.5× 16 387
Aitor Baldomir Spain 14 329 1.4× 164 1.5× 36 0.6× 44 1.0× 78 1.7× 47 480
Hyun‐Moo Koh South Korea 13 569 2.4× 182 1.7× 36 0.6× 101 2.2× 84 1.9× 56 705

Countries citing papers authored by Chaolin Song

Since Specialization
Citations

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

Fields of papers citing papers by Chaolin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaolin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chaolin Song. A scholar is included among the top collaborators of Chaolin Song 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 Chaolin Song. Chaolin Song 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.
Xiao, Rucheng, et al.. (2024). An analytical method for out-of-plane stability assessment of network arch bridges. Thin-Walled Structures. 204. 112289–112289. 1 indexed citations
3.
4.
Song, Chaolin, et al.. (2024). Active-learning Kriging-assisted robust design optimization of tuned mass dampers: Vibration mitigation of a steel-arch footbridge. Engineering Structures. 303. 117502–117502. 12 indexed citations
5.
Song, Chaolin, Rucheng Xiao, Chi Zhang, Xinwei Zhao, & Bo Sun. (2024). Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration. Reliability Engineering & System Safety. 246. 110083–110083. 17 indexed citations
6.
Zhang, Chi, Chaolin Song, & Abdollah Shafieezadeh. (2024). GELF: A global error-based learning function for globally optimal adaptive reliability analysis. Structural Safety. 109. 102464–102464. 7 indexed citations
7.
Xiao, Rucheng, Chaolin Song, Bin Sun, Wei Dai, & Jialing Liu. (2023). Reliability-assisted determination of partial factors for the design of main cables considering secondary stress effect. Structures. 48. 1479–1490. 4 indexed citations
8.
Song, Chaolin, et al.. (2023). Cable force optimization of cable-stayed bridges: A surrogate model-assisted differential evolution method combined with B-Spline interpolation curves. Engineering Structures. 283. 115856–115856. 12 indexed citations
9.
10.
Xiao, Rucheng, et al.. (2023). Special Issue on Recent Challenges and Innovations in Long-Span Bridges. Applied Sciences. 13(17). 9694–9694. 1 indexed citations
11.
Sun, Bin, Rucheng Xiao, Jianyong Huang, et al.. (2023). Study on flexural and shear performance of ultra‐high performance concrete prefabricated pi‐beams. Structural Concrete. 24(6). 7116–7134. 4 indexed citations
12.
Sun, Bin, et al.. (2023). Shear behavior of prestressed UHPC rectangular beams: experimental investigation and limit equilibrium state-based prediction method. Archives of Civil and Mechanical Engineering. 24(1). 4 indexed citations
13.
Zhao, Yinghao, et al.. (2023). Evolving reliability assessment of systems using active learning-based surrogate modelling. Physica D Nonlinear Phenomena. 457. 133957–133957.
14.
Song, Chaolin, Abdollah Shafieezadeh, & Rucheng Xiao. (2022). High-Dimensional Reliability Analysis with Error-Guided Active-Learning Probabilistic Support Vector Machine: Application to Wind-Reliability Analysis of Transmission Towers. Journal of Structural Engineering. 148(5). 20 indexed citations
15.
Xiao, Rucheng, et al.. (2022). Design and experimental study of a replaceable steel-UHPC composite bridge deck. Structures. 40. 1107–1120. 15 indexed citations
16.
Zhao, Yinghao, et al.. (2022). Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network. Measurement. 194. 110993–110993. 86 indexed citations
17.
Song, Chaolin, et al.. (2022). BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling. Computer Methods in Applied Mechanics and Engineering. 391. 114578–114578. 30 indexed citations
18.
Song, Chaolin, Chi Zhang, Abdollah Shafieezadeh, & Rucheng Xiao. (2021). Value of information analysis in non-stationary stochastic decision environments: A reliability-assisted POMDP approach. Reliability Engineering & System Safety. 217. 108034–108034. 31 indexed citations
19.
Zhang, Chi, Chaolin Song, & Abdollah Shafieezadeh. (2021). Adaptive reliability analysis for multi-fidelity models using a collective learning strategy. Structural Safety. 94. 102141–102141. 26 indexed citations
20.
Song, Chaolin, Rucheng Xiao, & Bin Sun. (2018). Optimization of cable pre-tension forces in long-span cable-stayed bridges considering the counterweight. Engineering Structures. 172. 919–928. 46 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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