Chaoning Lin

816 total citations
24 papers, 625 citations indexed

About

Chaoning Lin is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Ecology. According to data from OpenAlex, Chaoning Lin has authored 24 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 9 papers in Management, Monitoring, Policy and Law and 6 papers in Ecology. Recurrent topics in Chaoning Lin's work include Dam Engineering and Safety (20 papers), Hydraulic flow and structures (12 papers) and Landslides and related hazards (9 papers). Chaoning Lin is often cited by papers focused on Dam Engineering and Safety (20 papers), Hydraulic flow and structures (12 papers) and Landslides and related hazards (9 papers). Chaoning Lin collaborates with scholars based in China, Netherlands and United States. Chaoning Lin's co-authors include Siyu Chen, Chongshi Gu, Tongchun Li, Mohammad Amin Hariri‐Ardebili, Xiaoqing Liu, Chuan Lin, Huijun Qi, Yantao Zhu, Yao Wang and Kang Zhang and has published in prestigious journals such as IEEE Access, Remote Sensing and Engineering Geology.

In The Last Decade

Chaoning Lin

22 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoning Lin China 13 509 136 125 107 76 24 625
Xiangnan Qin China 13 524 1.0× 151 1.1× 120 1.0× 92 0.9× 34 0.4× 33 590
WU Zhong-ru China 19 691 1.4× 165 1.2× 89 0.7× 122 1.1× 27 0.4× 49 805
Dongyang Yuan China 12 514 1.0× 210 1.5× 138 1.1× 99 0.9× 48 0.6× 25 559
Hao Gu China 13 366 0.7× 93 0.7× 89 0.7× 82 0.8× 29 0.4× 51 423
Miguel Á. Toledo Spain 11 835 1.6× 363 2.7× 142 1.1× 120 1.1× 58 0.8× 48 935
J. Mata Portugal 9 593 1.2× 215 1.6× 90 0.7× 72 0.7× 33 0.4× 15 662
Chuan Lin China 13 250 0.5× 56 0.4× 110 0.9× 55 0.5× 35 0.5× 31 415
Chenfei Shao China 11 330 0.6× 94 0.7× 76 0.6× 66 0.6× 27 0.4× 24 384
Rafael Morán Moya Spain 8 568 1.1× 255 1.9× 99 0.8× 83 0.8× 40 0.5× 36 625

Countries citing papers authored by Chaoning Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chaoning Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoning Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoning Lin. A scholar is included among the top collaborators of Chaoning Lin 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 Chaoning Lin. Chaoning Lin 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.
Chen, Siyu, et al.. (2025). Dam Deformation Data Preprocessing with Optimized Variational Mode Decomposition and Kernel Density Estimation. Remote Sensing. 17(4). 718–718. 2 indexed citations
2.
Wang, Fei, et al.. (2025). A novel solid-plate coupling finite element method for face slab of concrete-faced rockfill dams. Computers & Structures. 316. 107916–107916.
3.
Lin, Chaoning, et al.. (2024). On the multi‐parameters identification of concrete dams: A novel stochastic inverse approach. International Journal for Numerical and Analytical Methods in Geomechanics. 48(16). 3792–3810.
4.
Li, Tongchun, et al.. (2024). Gravity Dam Deformation Prediction Model Based on I-KShape and ZOA-BiLSTM. IEEE Access. 12. 50710–50722. 4 indexed citations
5.
Lin, Chaoning, Siyu Chen, Mohammad Amin Hariri‐Ardebili, & Tongchun Li. (2023). An Explainable Probabilistic Model for Health Monitoring of Concrete Dam via Optimized Sparse Bayesian Learning and Sensitivity Analysis. Structural Control and Health Monitoring. 2023. 1–17. 21 indexed citations
6.
Lin, Chaoning, et al.. (2023). An Automated Framework for the Health Monitoring of Dams Using Deep Learning Algorithms and Numerical Methods. Applied Sciences. 13(22). 12457–12457. 4 indexed citations
7.
Lin, Chuan, Xiangyu Wang, Yan Su, Ting Zhang, & Chaoning Lin. (2022). Deformation Forecasting of Pulp-Masonry Arch Dams via a Hybrid Model Based on CEEMDAN Considering the Lag of Influencing Factors. Journal of Structural Engineering. 148(7). 14 indexed citations
8.
Lin, Chaoning, et al.. (2022). Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification. Engineering Structures. 266. 114553–114553. 25 indexed citations
9.
Lin, Chuan, Xiangyu Wang, Manuel Pastor, et al.. (2021). Application of a Hybrid SPH - Boussinesq model to predict the lifecycle of landslide-generated waves. Ocean Engineering. 223. 108658–108658. 10 indexed citations
10.
Chen, Siyu, Chongshi Gu, Chaoning Lin, Kang Zhang, & Yantao Zhu. (2020). Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement. Engineering With Computers. 37(3). 1943–1959. 80 indexed citations
11.
Lin, Chaoning, Tongchun Li, Lanhao Zhao, et al.. (2020). Reinforcement effects and safety monitoring index for high steep slopes: A case study in China. Engineering Geology. 279. 105861–105861. 7 indexed citations
12.
Chen, Siyu, Chongshi Gu, Chaoning Lin, & Mohammad Amin Hariri‐Ardebili. (2020). Prediction of arch dam deformation via correlated multi-target stacking. Applied Mathematical Modelling. 91. 1175–1193. 59 indexed citations
13.
Chen, Siyu, Chongshi Gu, Chaoning Lin, Yao Wang, & Mohammad Amin Hariri‐Ardebili. (2020). Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine. Measurement. 166. 108161–108161. 80 indexed citations
14.
Qi, Huijun, et al.. (2020). A variable parameters damage model for concrete. Engineering Fracture Mechanics. 228. 106898–106898. 18 indexed citations
15.
Lin, Chaoning, et al.. (2020). Structural identification in long-term deformation characteristic of dam foundation using meta-heuristic optimization techniques. Advances in Engineering Software. 148. 102870–102870. 35 indexed citations
16.
Ge, Wei, Xiuwei Wang, Zongkun Li, et al.. (2020). Interval Analysis of the Loss of Life Caused by Dam Failure. Journal of Water Resources Planning and Management. 147(1). 56 indexed citations
17.
Lin, Chaoning, et al.. (2019). Gaussian process regression-based forecasting model of dam deformation. Neural Computing and Applications. 31(12). 8503–8518. 104 indexed citations
18.
Lin, Chuan, Manuel Pastor, Tongchun Li, et al.. (2019). A SPH two-layer depth-integrated model for landslide-generated waves in reservoirs: application to Halaowo in Jinsha River (China). Landslides. 16(11). 2167–2185. 17 indexed citations
19.
Lin, Chaoning, Tongchun Li, Xiaoqing Liu, et al.. (2018). A deformation separation method for gravity dam body and foundation based on the observed displacements. Structural Control and Health Monitoring. 26(2). e2304–e2304. 32 indexed citations
20.
Chen, Siyu, et al.. (2018). Safety Monitoring Model of a Super-High Concrete Dam by Using RBF Neural Network Coupled with Kernel Principal Component Analysis. Mathematical Problems in Engineering. 2018. 1–13. 36 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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