Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A separate modeling approach to noisy displacement prediction of concrete dams via improved deep learning with frequency division
Minghao Li, Qiubing Ren, Mingchao Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102367-102367
Closed Access | Times Cited: 20

Showing 20 citing articles:

A deep learning method for predicting the displacement of concrete arch dams considering the effect of cracks
Bo Xu, Zeyuan Chen, Huaizhi Su, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102574-102574
Closed Access | Times Cited: 11
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
Tariq Ali, Mohamed Hechmi El Ouni, Muhammad Zeeshan Qureshi, et al.
Construction and Building Materials (2024) Vol. 440, pp. 137370-137370
Closed Access | Times Cited: 11
Deformation prediction model for concrete dams considering the effect of solar radiation
Mingkai Liu, Yining Qi, Huaizhi Su
Advanced Engineering Informatics (2025) Vol. 65, pp. 103252-103252
Closed Access | Times Cited: 1
A novel method for settlement imputation and monitoring of earth-rockfill dams subjected to large-scale missing data
Bin Xu, Zhuo Rong, Rui Pang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102642-102642
Closed Access | Times Cited: 9
A multi-point dam deformation prediction model based on spatiotemporal graph convolutional network
Taiqi Lu, Hao Gu, Chongshi Gu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 149, pp. 110483-110483
Closed Access
A physics informed convolution neural network for spatiotemporal temperature analysis of concrete dams
Jiaqi Yang, Jinting Wang, Feng Jin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110624-110624
Closed Access
Parameter inverse analysis of high rockfill dams considering material uncertainty based on the EJaya-SESM model
Qiubing Ren, Qin Ke, Yinpeng He, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103306-103306
Closed Access
Multi-output time history prediction for seismic responses of structures with uncertain parameters via deep learning
Qiang-Ming Zhong, Shi‐Zhi Chen, De‐Cheng Feng
Structures (2025) Vol. 76, pp. 108905-108905
Closed Access
Artificial Intelligence in Geopolymer Concrete Mix Design: A Comprehensive Review of Techniques and Applications
Malik Mushthofa, John Thedy, Mochamad Teguh, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Remotely operated vehicle (ROV) underwater vision-based micro-crack inspection for concrete dams using a customizable CNN framework
Hao Liu, Jingyue Yuan, Qiubing Ren, et al.
Automation in Construction (2025) Vol. 173, pp. 106102-106102
Closed Access
Advanced Predictive Modeling for Dam Occupancy Using Historical and Meteorological Data
Cemkut Badem, Recep YILMAZ, Muhammet Raşit Cesur, et al.
(2024)
Open Access | Times Cited: 1
A multipoint prediction model for the deformation of concrete dams considering climatic features of high-altitude regions
Mingkai Liu, Zhiping Wen, Huaizhi Su
Engineering Structures (2024) Vol. 319, pp. 118845-118845
Closed Access | Times Cited: 1
Prediction and analysis of response behavior of concrete face rockfill dam in cold region
Zheng Lu, Guantao Zhou, Yong Ding, et al.
Structures (2024) Vol. 70, pp. 107732-107732
Closed Access | Times Cited: 1
A Dam Displacement Prediction Method Based on a Model Combining Random Forest, a Convolutional Neural Network, and a Residual Attention Informer
Chunhui Fang, Ying Jiao, Handong Wang, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3687-3687
Open Access | Times Cited: 1
Advanced Predictive Modeling for Dam Occupancy Using Historical and Meteorological Data
Ahmet Cemkut BADEM, Recep YILMAZ, Muhammet Raşit Cesur, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7696-7696
Open Access
Displacement Interval Prediction Method for Arch Dam with Cracks: Integrated STL, MF-DFA and Bootstrap
Zeyuan Chen, Bo Xu, Linsong Sun, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2755-2755
Open Access
A similarity-aware ensemble method for displacement prediction of concrete dams based on temporal division and fully Bayesian learning
Ruizhe Liu, Qiubing Ren, Mingchao Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102921-102921
Closed Access
Parallel GhostNet classification prediction method for supercapacitor remaining useful life prediction
Quan Lu, Wenliang Ju, Linfei Yin
Advanced Engineering Informatics (2024) Vol. 62, pp. 102916-102916
Closed Access
Data-driven deformation prediction model for super high arch dams based on a hybrid deep learning approach and feature selection
Yingrui Wu, Fei Kang, Sisi Zhu, et al.
Engineering Structures (2024) Vol. 325, pp. 119483-119483
Closed Access
Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids
Linfei Yin, H. J. Mo
Advanced Engineering Informatics (2024) Vol. 62, pp. 102602-102602
Closed Access
Page 1

Scroll to top