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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:

Evaluating strength properties of Eco-friendly Seashell-Containing Concrete: Comparative analysis of hybrid and ensemble boosting methods based on environmental effects of seashell usage
Behnam Sadaghat, Seyed Abolfazl Ebrahimi, Omid Souri, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108388-108388
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Predicting Daily Heating Energy Consumption in Residential Buildings through Integration of Random Forest Model and Meta-Heuristic Algorithms
Weiyan Xu, Jielei Tu, Ning Xu, et al.
Energy (2024) Vol. 301, pp. 131726-131726
Closed Access | Times Cited: 16
A comparative study of hybrid adaptive neuro-fuzzy inference systems to predict the unconfined compressive strength of rocks
Wei Cao
Journal of Engineering and Applied Science (2025) Vol. 72, Iss. 1
Open Access | Times Cited: 1
Automated machine learning techniques for estimating the unconfined compressive strength of soil stabilization
Lei Wang
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access | Times Cited: 1
Cost assessment and strength properties estimation of high-performance concrete using a histogram gradient boosting model integrated with individual and ensemble optimisation algorithm
Jing Fu
International Journal of Pavement Engineering (2025) Vol. 26, Iss. 1
Closed Access
Proposal of a sequential machine learning modelling approach for optimal cementitious composites
Elyas Asadi Shamsabadi, Saeed Mohammadzadeh Chianeh, Daniel Dias‐da‐Costa
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109837-109837
Open Access
Unpacking predictive relationships in graphene oxide-reinforced cementitious nanocomposites: An explainable ensemble learning approach for augmented data
Hossein Adel, Majid Ilchi Ghazaan, Asghar Habibnejad Korayem
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110123-110123
Closed Access
Comparative evaluation of valorisation alternatives for waste oyster shells in construction using Engineering-Environmental-Economic(3E) model
Haoyu Zhu, Ming-Zhi Guo, Yan Zhang
Construction and Building Materials (2025) Vol. 465, pp. 140233-140233
Closed Access
Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques
Halit Tutar, Şenol Çelik, Hasan Er, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318230-e0318230
Open Access
Implementation Strategies for Green Products and Green Packaging for Tourism MSMEs to Support the SDGs

Journal of Sustainability Research (2025) Vol. 7, Iss. 1
Open Access
A reliable approach for classifying metakaolin content of high-Performance concrete via machine learning algorithm
Chao Zhang, Xiaoyong Zhao, Jian Chen, et al.
International Journal of Pavement Engineering (2025) Vol. 26, Iss. 1
Closed Access
Developing boosting-based estimation models for the ultimate strength of shear connectors in bridge
Guihai Gao, Jianxu Chen, Xiong Mei, et al.
Mechanics Based Design of Structures and Machines (2025), pp. 1-26
Closed Access
A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming
Ali Reza Ghanizadeh, Amir Tavana Amlashi, Alireza Bahrami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Predicting compressive strength of ultra-high-performance concrete using Naive Bayes regression in novel approaches
Zheng Zhao
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5235-5249
Closed Access | Times Cited: 3
Machine learning-based prediction of seismic response of elevated steel tanks
Babak Naeim, Mohammad Reza Akbarzadeh, Vahid Jahangiri
Structures (2024) Vol. 70, pp. 107649-107649
Closed Access | Times Cited: 3
Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste
Hossein Moradi Moghaddam, Mohsen Keramati, Alireza Bahrami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Machine learning and LSSVR model optimization for gasification process prediction
Wei Cong
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5991-6018
Closed Access | Times Cited: 2
Prediction of California bearing ratio using hybrid regression models
Weiwei Wang, Long Zhao, Daoliang Dong
Signal Image and Video Processing (2024) Vol. 18, Iss. 8-9, pp. 6405-6418
Closed Access | Times Cited: 1
The implementation of a least square support vector regression model for predicting the ultimate bearing capacity of rock-socketed piles
Xiaochuan Yang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4605-4618
Closed Access | Times Cited: 1
Investigation of mechanical properties of high-performance concrete via multi-method of regression tree approach
Rui Qi, Haiyan Wu, Yongjun Qi, et al.
Materials Today Communications (2024) Vol. 40, pp. 109922-109922
Closed Access
Discussion on adaptive neuro-fuzzy inference system-based models for predicting ultimate bearing capacity of rock-socketed piles
Cai Fan
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5743-5757
Closed Access
Novel models based on support vector regression to predict the compressive strength of concrete with recycled aggregate
Hongmei Yao
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5731-5742
Closed Access
Applicability of smell agent optimization and Tasmanian devil optimization hybridized with ANFIS and SVR as reliable solutions in estimation of cooling load in buildings
Shaoxu Li
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5789-5808
Closed Access
Mechanical Properties and Global Warming Potential Predictions for High-Performance Concrete through Machine Learning Models Integrated with Meta-heuristic Algorithms
Yuhua Song
Materials Today Communications (2024), pp. 110558-110558
Closed Access
Improving the estimation of the pile bearing capacity via hybridization technique based on adaptive network based fuzzy inference
Gang Li
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 12, pp. 4043-4060
Closed Access
Compressive strength prediction of high-performance concrete using MLP model
C.X. Dong
Smart Science (2024), pp. 1-30
Closed Access
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