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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Structural identification of super high arch dams using Gaussian process regression with improved salp swarm algorithm
Fei Kang, Yingrui Wu, Jianting Ma, et al.
Engineering Structures (2023) Vol. 286, pp. 116150-116150
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Underwater dam crack image generation based on unsupervised image-to-image translation
Ben Huang, Fei Kang, Xinyu Li, et al.
Automation in Construction (2024) Vol. 163, pp. 105430-105430
Closed Access | Times Cited: 46
A deep learning prediction model of DenseNet-LSTM for concrete gravity dam deformation based on feature selection
Ye Zhang, Wen Zhong, Yanlong Li, et al.
Engineering Structures (2023) Vol. 295, pp. 116827-116827
Closed Access | Times Cited: 40
Structural identification of concrete dams with ambient vibration based on surrogate-assisted multi-objective salp swarm algorithm
Yingrui Wu, Fei Kang, Yantan Zhang, et al.
Structures (2024) Vol. 60, pp. 105956-105956
Closed Access | Times Cited: 36
AF-OS-ELM-MVE: A new online sequential extreme learning machine of dam safety monitoring model for structure deformation estimation
Ye Zhang, Wenwei Zhang, Yanlong Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102345-102345
Closed Access | Times Cited: 18
Estimating the compressive and tensile strength of basalt fibre reinforced concrete using advanced hybrid machine learning models
Irfan Ullah, Muhammad Faisal Javed, Hisham Alabduljabbar, et al.
Structures (2025) Vol. 71, pp. 108138-108138
Closed Access | Times Cited: 1
Investigating the effect of locally available volcanic ash on mechanical and microstructure properties of concrete
Abdullah F. Al Asmari, Muhammad Iqbal Bashir, Furqan Farooq, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access | Times Cited: 1
Effect of light source wavelength on surface defect imaging in deep-water concrete dams
Dong Chen, Fei Kang, Jing Chen, et al.
NDT & E International (2024) Vol. 147, pp. 103198-103198
Closed Access | Times Cited: 9
Hierarchical prediction of dam deformation based on hybrid temporal network and load-oriented residual correction
En‐Hua Cao, Tengfei Bao, Rongyao Yuan, et al.
Engineering Structures (2024) Vol. 308, pp. 117949-117949
Closed Access | Times Cited: 7
Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
Mana Alyami, Kennedy C. Onyelowe, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03869-e03869
Open Access | Times Cited: 6
A novel fast inversion method for concrete dam parameters via ensemble learning and meta-heuristic optimizer
Jiachen Liang, Wenhan Cao, Xiaoqun Yan, et al.
Structures (2025) Vol. 72, pp. 108285-108285
Closed Access
Enhancing Bayesian probabilistic back-analysis efficiency using multi-type surface and subsurface monitoring data: Case study of the Baihetan left bank slope
Wujiao Dai, Yue Dai, Jiawei Xie, et al.
Computers and Geotechnics (2025) Vol. 182, pp. 107174-107174
Open Access
Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches
Turki S. Alahmari, Furqan Farooq
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Strength prediction and uncertainty quantification of welded CHS tubular joints via Gaussian process regression
Bowen Chen, Libo Chen, Ruchun Mo, et al.
Engineering Structures (2025) Vol. 332, pp. 120030-120030
Closed Access
Prediction of compressive strength of high-performance concrete (HPC) using machine learning algorithms
Muhammad Imran, Ali Raza, Muhammad Touqeer
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 3, pp. 1881-1894
Closed Access | Times Cited: 10
Optimized quantum LSTM using modified electric Eel foraging optimization for real-world intelligence engineering systems
Mohammed A. A. Al‐qaness, Mohamed Abd Elaziz, Abdelghani Dahou, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 10, pp. 102982-102982
Open Access | Times Cited: 3
Deep learning model for the deformation prediction of concrete dams under multistep and multifeature inputs based on an improved autoformer
Kun Tian, Jie Yang, Lin Cheng
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109109-109109
Closed Access | Times Cited: 3
A data-driven simulation and Gaussian process regression model for hydraulic press condition diagnosis
Denis Jankovič, Marko Šimić, Niko Herakovič
Advanced Engineering Informatics (2023) Vol. 59, pp. 102276-102276
Open Access | Times Cited: 5
Thermal parameter identification of concrete dams based on hybrid particle swarm optimization using distributed optical fiber monitoring data
Chi Zhao, Feng Wang, Xinxin Jiang, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101582-101582
Closed Access | Times Cited: 1
Slope multi-step excavation displacement prediction surrogate model based on a long short-term memory neural network: for small sample data and multi-feature multi-task learning
Yue Dai, Wujiao Dai, Jiawei Xie
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-20
Closed Access | Times Cited: 1
A methodology for deformation monitoring of concrete dams based on approximate Bayesian computation with sequential Monte Carlo
Mingguang Wang, Zhenyu Wu
Expert Systems with Applications (2024) Vol. 255, pp. 124829-124829
Closed Access | Times Cited: 1
Machine learning models for predicting the compressive strength of cement-based mortar materials: Hyper tuning and optimization
Mana Alyami, Irfan Ullah, Ali H. AlAteah, et al.
Structures (2024) Vol. 71, pp. 107931-107931
Closed Access | Times Cited: 1
A Multi-Strategy Improved Sooty Tern Optimization Algorithm for Concrete Dam Parameter Inversion
Lin Ma, Fuheng Ma, Wenhan Cao, et al.
Water (2023) Vol. 16, Iss. 1, pp. 119-119
Open Access | Times Cited: 3
Utilizing bee foraging behavior in mutational salp swarm for feature selection: a study on return-intentions of overseas Chinese after COVID-19
Jie Xing, Qinqin Zhao, Huiling Chen, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 6, pp. 2094-2121
Open Access | Times Cited: 2
Optimizing Plastic Waste Inclusion in Paver Blocks: Balancing Performance, Environmental Impact, and Cost Through LCA and Economic Analysis
Usama Asif, Muhammad Faisal Javed
Journal of Cleaner Production (2024) Vol. 478, pp. 143901-143901
Closed Access
Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillers
Abdul Rauf, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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