Lin Cheng

1.0k total citations
75 papers, 721 citations indexed

About

Lin Cheng is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Management, Monitoring, Policy and Law. According to data from OpenAlex, Lin Cheng has authored 75 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Civil and Structural Engineering, 12 papers in Safety, Risk, Reliability and Quality and 12 papers in Management, Monitoring, Policy and Law. Recurrent topics in Lin Cheng's work include Dam Engineering and Safety (40 papers), Hydraulic flow and structures (13 papers) and Geotechnical Engineering and Underground Structures (12 papers). Lin Cheng is often cited by papers focused on Dam Engineering and Safety (40 papers), Hydraulic flow and structures (13 papers) and Geotechnical Engineering and Underground Structures (12 papers). Lin Cheng collaborates with scholars based in China, Taiwan and Singapore. Lin Cheng's co-authors include Dongjian Zheng, Chunhui Ma, Jie Yang, Fei Tong, Pengzhi Lin, Tengfei Bao, Anan Zhang, Yanlong Li, Gaochao Li and Dongming Liu and has published in prestigious journals such as PLoS ONE, IEEE Access and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Lin Cheng

66 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Cheng China 16 455 110 107 95 73 75 721
Chuan Lin China 13 250 0.5× 55 0.5× 110 1.0× 56 0.6× 39 0.5× 31 415
Hamed Ebrahimian United States 20 1.0k 2.3× 66 0.6× 29 0.3× 21 0.2× 73 1.0× 60 1.3k
Brian Sheil United Kingdom 22 1.1k 2.4× 413 3.8× 116 1.1× 28 0.3× 25 0.3× 108 1.4k
Yang Xue China 14 324 0.7× 172 1.6× 372 3.5× 24 0.3× 39 0.5× 35 586
M.Q. Feng United States 8 926 2.0× 45 0.4× 31 0.3× 13 0.1× 29 0.4× 24 1.1k
Tengfei Bao China 16 518 1.1× 69 0.6× 75 0.7× 121 1.3× 45 0.6× 32 678
Ian P. King United States 13 495 1.1× 101 0.9× 37 0.3× 23 0.2× 17 0.2× 37 1.1k
Morteza Ahmadi Iran 13 360 0.8× 95 0.9× 117 1.1× 8 0.1× 67 0.9× 41 822
Beibei Yang China 9 343 0.8× 153 1.4× 495 4.6× 40 0.4× 70 1.0× 15 655

Countries citing papers authored by Lin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Cheng. A scholar is included among the top collaborators of Lin Cheng 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 Lin Cheng. Lin Cheng 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.
Cheng, Lin, Xina Yuan, Zhuolin Li, et al.. (2025). Non-parametric modal identification and monitoring of concrete dams under ambient excitations. Applied Mathematical Modelling. 148. 116271–116271.
2.
Cheng, Lin, et al.. (2024). Deep learning model for the deformation prediction of concrete dams under multistep and multifeature inputs based on an improved autoformer. Engineering Applications of Artificial Intelligence. 137. 109109–109109. 9 indexed citations
3.
Cheng, Lin, et al.. (2024). Bayesian model averaging and Bayesian inference-based probabilistic inversion method for arch dam zonal material parameters. Structures. 70. 107605–107605. 1 indexed citations
4.
Li, Gaochao, et al.. (2024). Research on the mechanical behavior law of local damage of insulation board during the operation period of high arch dams. Structures. 68. 107216–107216. 1 indexed citations
5.
Liu, Yang, et al.. (2024). Analysis of sensitive clay landslide mechanism and impact pipeline bearing characteristics considering spatial variability. Computers and Geotechnics. 173. 106585–106585. 2 indexed citations
6.
Ma, Chunhui, et al.. (2024). Dynamic Response of PCCP under the Rockfall Impact Based on the Continuous–Discontinuous Method: A Case Study. Water. 16(6). 801–801. 2 indexed citations
7.
Ma, Chunhui, et al.. (2024). Application of Artificial Intelligence in Hydraulic Engineering. Water. 16(4). 590–590. 2 indexed citations
8.
Xiao, Sheng, et al.. (2024). An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation. Journal of Civil Structural Health Monitoring. 14(3). 763–779. 9 indexed citations
9.
Li, Gaochao, Lin Cheng, Anan Zhang, et al.. (2023). Model test research on arch dam displacement monitoring based on distributed strain sensing. Measurement. 223. 113795–113795. 6 indexed citations
10.
Cheng, Lin, et al.. (2023). Multipoint Deformation Safety Monitoring Model for Concrete Arch Dams Based on Bayesian Model Selection and Averaging. Structural Control and Health Monitoring. 2023. 1–19. 11 indexed citations
11.
Zhang, Anan, et al.. (2023). Temperature tracing test and numerical simulation study during leakage of earth-rock dam. International Journal of Thermal Sciences. 192. 108449–108449. 7 indexed citations
12.
Ma, Chunhui, et al.. (2023). Global sensitivity analysis of parameters based on sPCE: The case study of a concrete face rockfill dam in northwest China. PLoS ONE. 18(8). e0290665–e0290665. 1 indexed citations
13.
Cheng, Lin, et al.. (2019). Multi-constraint compound reentry guidance based on onboard model identification. Journal of Tsinghua University(Science and Technology). 59(9). 712–719. 2 indexed citations
14.
Cheng, Lin, et al.. (2019). Focused Wave Interaction with Floating Structures by In-House Codes. The 29th International Ocean and Polar Engineering Conference.
15.
Higuera, Pablo, et al.. (2018). HIGHLY-RESOLVED NUMERICAL AND LABORATORY ANALYSIS FOR NONBREAKING SOLITARY WAVE SWASH OVER A STEEP SLOPE. Coastal Engineering Proceedings. 36–36. 1 indexed citations
16.
Cheng, Lin, et al.. (2017). Aircraft predictor-corrector guidance based on online constraint limit enforcement. Beijing Hangkong Hangtian Daxue xuebao. 43(10). 2143. 2 indexed citations
17.
Cheng, Lin, et al.. (2015). The Health Monitoring Method of Concrete Dams Based on Ambient Vibration Testing and Kernel Principle Analysis. Shock and Vibration. 2015. 1–11. 26 indexed citations
18.
Lin, Chin‐Teng, et al.. (2012). Nonlinear system control using functional-link-based neuro-fuzzy network model embedded with modified particle swarm optimizer. International Journal of Fuzzy Systems. 14(1). 97–109. 1 indexed citations
19.
Cheng, Lin. (2009). Interval number fuzzy evaluation based on trapezoid subordinate function. Systems engineering and electronics. 5 indexed citations
20.
Cheng, Lin, et al.. (2003). Nonlinear System Control Using Compensatory Neuro-Fuzzy Networks. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(9). 2309–2316. 31 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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