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:

Dynamic early-warning model of dam deformation based on deep learning and fusion of spatiotemporal features
Wenlong Chen, Xiaoling Wang, Dawei Tong, et al.
Knowledge-Based Systems (2021) Vol. 233, pp. 107537-107537
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 45

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: 37

MR and stacked GRUs neural network combined model and its application for deformation prediction of concrete dam
Zhiping Wen, Renlian Zhou, Huaizhi Su
Expert Systems with Applications (2022) Vol. 201, pp. 117272-117272
Closed Access | Times Cited: 54

Recent advancement of concrete dam health monitoring technology: A systematic literature review
Guru Prakash, Revanth Dugalam, Mohamed Barbosh, et al.
Structures (2022) Vol. 44, pp. 766-784
Closed Access | Times Cited: 49

A Dam Safety State Prediction and Analysis Method Based on EMD-SSA-LSTM
Xin Yang, Yan Xiang, Yakun Wang, et al.
Water (2024) Vol. 16, Iss. 3, pp. 395-395
Open Access | Times Cited: 9

Urban hotspot forecasting via automated spatio-temporal information fusion
Guangyin Jin, Hengyu Sha, Zhexu Xi, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110087-110087
Closed Access | Times Cited: 16

Prediction model for high arch dam stress during the operation period using LightGBM with MSSA and SHAP
Bo Li, Jing Ning, Shengmei Yang, et al.
Advances in Engineering Software (2024) Vol. 192, pp. 103635-103635
Closed Access | Times Cited: 7

Deep Learning-Based Imputation Framework for Bridge Health Monitoring using Generative Adversarial Networks
Sumit Saha, Krishn Katyal, S. Somala
Knowledge-Based Systems (2025), pp. 113088-113088
Closed Access

A visualization system for dam safety monitoring with application of digital twin platform
C. Y. Shao, Sen Zheng, Yanxin Xu, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126740-126740
Closed Access

Dam early warning model based on structural anomaly identification and dynamic effect variables selection
Yakun Wang, Yan Xiang, Bo Dai, et al.
Structures (2025) Vol. 74, pp. 108507-108507
Closed Access

Multi-source monitoring information fusion method for dam health diagnosis based on Wasserstein distance
Anyi Chen, Xianqi Tang, BoChao Cheng, et al.
Information Sciences (2023) Vol. 632, pp. 378-389
Closed Access | Times Cited: 11

Bayesian incremental learning paradigm for online monitoring of dam behavior considering global uncertainty
Qiubing Ren, Heng Li, Mingchao Li, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110411-110411
Closed Access | Times Cited: 10

Residual correction-based dam deformation monitoring method via data dimension reduction and optimized Bi-LSTM algorithm
Yantao Zhu, Xinqiang Niu
Structural Health Monitoring (2024)
Closed Access | Times Cited: 3

A contradiction solving method for complex product conceptual design based on deep learning and technological evolution patterns
Jiangmin Mao, Zhu Yingdan, Mingda Chen, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101825-101825
Closed Access | Times Cited: 11

Soft Computing and Machine Learning in Dam Engineering
Mohammad Amin Hariri‐Ardebili, Fernando Salazar, Farhad Pourkamali‐Anaraki, et al.
Water (2023) Vol. 15, Iss. 5, pp. 917-917
Open Access | Times Cited: 5

New Method for Measuring Diagnosis Indexes Based on Concept Lattices in Dam Health Diagnosis
Anyi Chen, Xianqi Tang, Jinping He
IEEE Access (2024) Vol. 12, pp. 22490-22499
Open Access | Times Cited: 1

An artificial intelligence approach for particle transport velocity prediction in horizontal flows
Haoyu Chen, Zhiguo Wang, Hai Ming Huang, et al.
Particuology (2024) Vol. 92, pp. 234-250
Closed Access | Times Cited: 1

Progressive failure process-considered deformation safety diagnosis method for in-service high arch dam
Guang Yang, Ahui Zhao, Jin Sun, et al.
Engineering Failure Analysis (2024) Vol. 163, pp. 108570-108570
Closed Access | Times Cited: 1

A Novel Long Short-Term Memory Seq2Seq Model with Chaos-Based Optimization and Attention Mechanism for Enhanced Dam Deformation Prediction
Lei Wang, Jiajun Wang, Dawei Tong, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3675-3675
Open 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

Dam deformation early warning model based on cluster analysis and spatiotemporal data fusion
Lei Wei, Jian Wang, Tongyuan Ji, et al.
Measurement (2022) Vol. 204, pp. 112109-112109
Closed Access | Times Cited: 6

Determination of Monitoring Control Value for Concrete Gravity Dam Spatial Deformation Based on POT Model
Zhiwen Xie, Tiantang Yu
Computer Modeling in Engineering & Sciences (2022) Vol. 135, Iss. 3, pp. 2119-2135
Open Access | Times Cited: 6

A Novel Early Warning Method for Handling Non-Homogeneous Information
Zixin Zhang, Liang Wang, Ying‐Ming Wang
Mathematics (2022) Vol. 10, Iss. 16, pp. 3016-3016
Open Access | Times Cited: 5

An early warning method based on fuzzy evidential reasoning considering heterogeneous information
Zixin Zhang, Liang Wang, JinLi Duan, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 82, pp. 103356-103356
Closed Access | Times Cited: 4

Coupling cloud theory and concept hierarchy construction early warning thresholds for deformation safety of tailings dam
Shaohua Hu, Meixian Qu, Youcui Yuan, et al.
Natural Hazards (2024) Vol. 120, Iss. 9, pp. 8827-8849
Closed Access

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