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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:

Soft computing techniques in structural and earthquake engineering: a literature review
Roberto Falcone, Carmine Lima, Enzo Martinelli
Engineering Structures (2020) Vol. 207, pp. 110269-110269
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
Panagiotis G. Asteris, Athanasia D. Skentou, Abidhan Bardhan, et al.
Cement and Concrete Research (2021) Vol. 145, pp. 106449-106449
Closed Access | Times Cited: 392
Machine learning for structural engineering: A state-of-the-art review
Huu‐Tai Thai
Structures (2022) Vol. 38, pp. 448-491
Closed Access | Times Cited: 368
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods
Song-Shun Lin, Shui‐Long Shen, Annan Zhou, et al.
Automation in Construction (2020) Vol. 122, pp. 103490-103490
Closed Access | Times Cited: 189
Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies
Mayank Mishra
Journal of Cultural Heritage (2020) Vol. 47, pp. 227-245
Closed Access | Times Cited: 187
Prediction of cement-based mortars compressive strength using machine learning techniques
Panagiotis G. Asteris, Mohammadreza Koopialipoor, Danial Jahed Armaghani, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 19, pp. 13089-13121
Closed Access | Times Cited: 175
Machine-learning based vulnerability analysis of existing buildings
Sergio Ruggieri, Angelo Cardellicchio, Valeria Leggieri, et al.
Automation in Construction (2021) Vol. 132, pp. 103936-103936
Closed Access | Times Cited: 112
Flexural and split tensile strength of concrete with basalt fiber: An experimental and computational analysis
Fadi Almohammed, Mohindra Singh Thakur, Daeho Lee, et al.
Construction and Building Materials (2024) Vol. 414, pp. 134936-134936
Closed Access | Times Cited: 18
A review on application of soft computing techniques for the rapid visual safety evaluation and damage classification of existing buildings
Ehsan Harirchian, Seyed Ehsan Aghakouchaki Hosseini, Kirti Jadhav, et al.
Journal of Building Engineering (2021) Vol. 43, pp. 102536-102536
Closed Access | Times Cited: 88
Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Weiying Fan, Yao Chen, Jiaqiang Li, et al.
Structures (2021) Vol. 33, pp. 3954-3963
Closed Access | Times Cited: 88
Intelligent damage diagnosis in bridges using vibration-based monitoring approaches and machine learning: A systematic review
Rosette Niyirora, Wei Ji, Elyse Masengesho, et al.
Results in Engineering (2022) Vol. 16, pp. 100761-100761
Open Access | Times Cited: 61
Deep learning model for predicting tunnel damages and track serviceability under seismic environment
Abdullah Ansari, K. Seshagiri Rao, A. K. Jain, et al.
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 1, pp. 1349-1368
Open Access | Times Cited: 55
Prediction of ultimate condition of FRP-confined recycled aggregate concrete using a hybrid boosting model enriched with tabular generative adversarial networks
Xinyu Zhao, Jinxin Chen, G.M. Chen, et al.
Thin-Walled Structures (2022) Vol. 182, pp. 110318-110318
Closed Access | Times Cited: 49
A Hybrid ANN-GA Model for an Automated Rapid Vulnerability Assessment of Existing RC Buildings
Mehmet Akif Bülbül, Ehsan Harirchian, Mehmet Fatih Işık, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5138-5138
Open Access | Times Cited: 40
Mix design optimization of concrete containing fly ash and slag for global warming potential and cost reduction
Vahid Shobeiri, Bree Bennett, Tianyu Xie, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e01832-e01832
Open Access | Times Cited: 31
Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge
Tianyu Wang, Huile Li, Mohammad Noori, et al.
Engineering Structures (2023) Vol. 279, pp. 115576-115576
Closed Access | Times Cited: 31
Detection of damages caused by earthquake and reinforcement corrosion in RC buildings with Deep Transfer Learning
Gamze Doğan, Musa Hakan Arslan, Alper İlki
Engineering Structures (2023) Vol. 279, pp. 115629-115629
Closed Access | Times Cited: 30
Evaluating fire resistance of timber columns using explainable machine learning models
Mohsen Zaker Esteghamati, Thomas Gernay, S. Banerji
Engineering Structures (2023) Vol. 296, pp. 116910-116910
Closed Access | Times Cited: 24
Towards white box modeling of compressive strength of sustainable ternary cement concrete using explainable artificial intelligence (XAI)
Syed Muhammad Ibrahim, Saad Shamim Ansari, Syed Danish Hasan
Applied Soft Computing (2023) Vol. 149, pp. 110997-110997
Closed Access | Times Cited: 23
Prediction of the axial compressive strength of circular concrete-filled steel tube columns using sine cosine algorithm-support vector regression
Fei Lyu, Xinyu Fan, Faxing Ding, et al.
Composite Structures (2021) Vol. 273, pp. 114282-114282
Closed Access | Times Cited: 53
Innovative models for predicting post-fire bond behavior of steel rebar embedded in steel fiber reinforced rubberized concrete using soft computing methods
Mahdi Nematzadeh, Amir Ali Shahmansouri, Reza Zabihi
Structures (2021) Vol. 31, pp. 1141-1162
Closed Access | Times Cited: 44
Structural damage identification considering uncertainties based on a Jaya algorithm with a local pattern search strategy and L0.5 sparse regularization
Zhenghao Ding, Rongrong Hou, Yong Xia
Engineering Structures (2022) Vol. 261, pp. 114312-114312
Closed Access | Times Cited: 28
Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review
Benbu Liang, C. Natalie van der Wal, Kefan Xie, et al.
Safety Science (2022) Vol. 158, pp. 105955-105955
Open Access | Times Cited: 27
Multi-objective SHADE with manta ray foraging optimizer for structural design problems
Changting Zhong, Gang Li, Zeng Meng, et al.
Applied Soft Computing (2023) Vol. 134, pp. 110016-110016
Open Access | Times Cited: 18
Generalized uncertainty in surrogate models for concrete strength prediction
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106155-106155
Closed Access | Times Cited: 17
Innovative Approach Integrating Machine Learning Models for Coiled Tubing Fatigue Modeling
Khawla Brahim, Ahmed Hadjadj, Aissa Abidi Saad, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2899-2899
Open Access
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