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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:

Machine Learning for Risk and Resilience Assessment in Structural Engineering: Progress and Future Trends
Xiaowei Wang, Ram K. Mazumder, Babak Salarieh, et al.
Journal of Structural Engineering (2022) Vol. 148, Iss. 8
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Lead-rubber-bearing with negative stiffness springs (LRB-NS) for base-isolation seismic design of resilient bridges: A theoretical feasibility study
Xu Chen, Kohju Ikago, Zhongguo Guan, et al.
Engineering Structures (2022) Vol. 266, pp. 114601-114601
Closed Access | Times Cited: 68
Impact of vertical ground motion on the statistical analysis of seismic demand for frictional isolated bridge in near-fault regions
Jian Zhong, Yuntao Zhu, Qiang Han
Engineering Structures (2023) Vol. 278, pp. 115512-115512
Closed Access | Times Cited: 47
Development of sustainable water infrastructure: A proper understanding of water pipe failure
Ridwan Taiwo, Ibrahim Abdelfadeel Shaban, Tarek Zayed
Journal of Cleaner Production (2023) Vol. 398, pp. 136653-136653
Closed Access | Times Cited: 47
Novel method for reliability optimization design based on rough set theory and hybrid surrogate model
Haoran Fan, Chong Wang, Shaohua Li
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117170-117170
Closed Access | Times Cited: 14
Probabilistic seismic demand model of UBPRC columns conditioned on Pulse-Structure parameters
Jian Zhong, Longfei Shi, Tao Yang, et al.
Engineering Structures (2022) Vol. 270, pp. 114829-114829
Closed Access | Times Cited: 43
Effect of near-fault vertical ground motions on failure mode of long-span sea-crossing cable-stayed bridges
Jian Zhong, Wei Xu, Xinzhi Dang, et al.
Ocean Engineering (2022) Vol. 266, pp. 113005-113005
Closed Access | Times Cited: 40
Potential bias of conventional structural seismic fragility for bridge structures under pulse-like ground motions: Bias evaluation and strategy improvement
Tao Yang, Yuanyuan Wei, Jian Zhong
Soil Dynamics and Earthquake Engineering (2023) Vol. 166, pp. 107787-107787
Closed Access | Times Cited: 28
Computing the characteristics of defects in wooden structures using image processing and CNN
Rana Ehtisham, Waqas Qayyum, Charles V. Camp, et al.
Automation in Construction (2023) Vol. 158, pp. 105211-105211
Closed Access | Times Cited: 27
Nested physics-informed neural network for analysis of transient flows in natural gas pipelines
Chi Zhang, Abdollah Shafieezadeh
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106073-106073
Closed Access | Times Cited: 24
Influence of ground motion duration on seismic behavior of RC bridge piers: The role of low-cycle fatigue damage of reinforcing bars
Junsheng Su, Dianqi Wu, Xiaowei Wang
Engineering Structures (2023) Vol. 279, pp. 115587-115587
Open Access | Times Cited: 23
Machine learning in coastal bridge hydrodynamics: A state-of-the-art review
Guoji Xu, Chengjie Ji, Yong Xu, et al.
Applied Ocean Research (2023) Vol. 134, pp. 103511-103511
Closed Access | Times Cited: 21
Multi-disciplinary seismic resilience modeling for developing mitigation policies and recovery planning
Milad Roohi, Saeid Ghasemi, Omar A. Sediek, et al.
Resilient Cities and Structures (2024) Vol. 3, Iss. 2, pp. 66-84
Open Access | Times Cited: 8
Predicting failure pressure of corroded gas pipelines: A data-driven approach using machine learning
Rui Xiao, Tarek Zayed, Mohamed A. Meguid, et al.
Process Safety and Environmental Protection (2024) Vol. 184, pp. 1424-1441
Closed Access | Times Cited: 6
Deep reinforcement learning for intelligent risk optimization of buildings under hazard
Ghazanfar Ali Anwar, Xiaoge Zhang
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110118-110118
Closed Access | Times Cited: 6
Computational methodologies for critical infrastructure resilience modeling: A review
Ankang Ji, Renfei He, Weiyi Chen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102663-102663
Closed Access | Times Cited: 6
AI in Structural Health Monitoring for Infrastructure Maintenance and Safety
Vagelis Plevris, George Papazafeiropoulos
Infrastructures (2024) Vol. 9, Iss. 12, pp. 225-225
Open Access | Times Cited: 6
Unsupervised deep learning approach for structural anomaly detection using probabilistic features
Hua‐Ping Wan, Yi-Kai Zhu, Yaozhi Luo, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 5
Machine Learning Modeling Integrating Experimental Analysis for Predicting Compressive Strength of Concrete Containing Different Industrial Byproducts
K.R. Rao, Jayaprakash Sridhar, S. Sivaramakrishnan, et al.
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-11
Open Access | Times Cited: 5
Machine learning methods for compression capacity prediction and sensitivity analysis of concrete-filled steel tubular columns: State-of-the-art review
Bohan Zhang, Yang Yu, Shanchang Yi, et al.
Structures (2025) Vol. 72, pp. 108259-108259
Open Access
Enhancing Engineering and Architectural Design Through Virtual Reality and Machine Learning Integration
Ali Shehadeh, Odey Alshboul
Buildings (2025) Vol. 15, Iss. 3, pp. 328-328
Open Access
Intelligent Code for Assessing Performance and Reliability of Failure Assessment Models
Guo Lingyun, Wang Hexian, Bo Chen, et al.
Journal of Pipeline Systems Engineering and Practice (2025) Vol. 16, Iss. 2
Closed Access
Optimizing Post-Hurricane Recovery of Interdependent Infrastructure Systems via Knowledge-Enhanced Deep Reinforcement Learning
Shaopeng Li, Teng Wu
Advances in wind engineering. (2025), pp. 100039-100039
Open Access
Data-Driven Machine-Learning-Based Seismic Response Prediction and Damage Classification for an Unreinforced Masonry Building
Nagavinothini Ravichandran, Butsawan Bidorn, Oya Mercan, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1686-1686
Open Access
Data-driven probabilistic seismic demand prediction and sustainability optimization of stone columns for liquefaction mitigation in regional mildly sloping ground
Zhijian Qiu, Jianhua Zhu, Ahmed Ebeido, et al.
Computers and Geotechnics (2025) Vol. 181, pp. 107125-107125
Closed Access
Advanced deep learning approaches for superior temporal analysis and forecasting of water level discharge for the Bamni River
S. S. Lachure, Ashish Tiwari
International Journal of River Basin Management (2025), pp. 1-19
Closed Access
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