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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:

Design of concrete incorporating microencapsulated phase change materials for clean energy: A ternary machine learning approach based on generative adversarial networks
Afshin Marani, Lei Zhang, Moncef L. Nehdi
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105652-105652
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Peak and ultimate stress-strain model of confined ultra-high-performance concrete (UHPC) using hybrid machine learning model with conditional tabular generative adversarial network
Tadesse G. Wakjira, M. Shahria Alam
Applied Soft Computing (2024) Vol. 154, pp. 111353-111353
Open Access | Times Cited: 32
Generative adversarial networks in construction applications
Chai Ping, Lei Hou, Guomin Zhang, et al.
Automation in Construction (2024) Vol. 159, pp. 105265-105265
Open Access | Times Cited: 12
Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
Raman Kumar, Essam Althaqafi, S. Gopal Krishna Patro, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111956-111956
Closed Access | Times Cited: 10
Optimizing Gaussian process regression (GPR) hyperparameters with three metaheuristic algorithms for viscosity prediction of suspensions containing microencapsulated PCMs
Tao Hai, Ali Basem, As’ad Alizadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Fundamental studies and emerging applications of phase change materials for cold storage in China
Lunxiang Zhang, Xinran Xia, Yuan Lv, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108279-108279
Closed Access | Times Cited: 18
A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106872-106872
Closed Access | Times Cited: 16
Data Augmentation of a Corrosion Dataset for Defect Growth Prediction of Pipelines Using Conditional Tabular Generative Adversarial Networks
Haonan Ma, Mengying Geng, Fan Wang, et al.
Materials (2024) Vol. 17, Iss. 5, pp. 1142-1142
Open Access | Times Cited: 5
Harnessing meta-heuristic, Bayesian, and search-based techniques in optimizing machine learning models for improved energy storage with microencapsulated PCMs
Lotfi Ben Said, Ali Basem, Abbas J. Sultan, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108537-108537
Closed Access
Machine learning for design, optimization and assessment of steel-concrete composite structures: A review
Xianlin Wang, Bozhou Zhuang, Danny Smyl, et al.
Engineering Structures (2025) Vol. 328, pp. 119652-119652
Closed Access
Exploring failure mechanisms in reinforced concrete slab-column joints: Machine learning and causal analysis
Aybike Özyüksel Çiftçioğlu
Engineering Failure Analysis (2025), pp. 109549-109549
Closed Access
Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks
Xianlin Wang, Nemkumar Banthia, Doo‐Yeol Yoo
Automation in Construction (2023) Vol. 158, pp. 105164-105164
Closed Access | Times Cited: 15
LC3 with microencapsulated phase change materials for reducing embodied and operational carbon
Afshin Marani, Lei Zhang, Moncef L. Nehdi
Cement and Concrete Research (2023) Vol. 172, pp. 107234-107234
Closed Access | Times Cited: 14
Intelligent multi-objective optimization of 3D printing low-carbon concrete for multi-scenario requirements
Songyuan Geng, Qiling Luo, Boyuan Cheng, et al.
Journal of Cleaner Production (2024) Vol. 445, pp. 141361-141361
Closed Access | Times Cited: 4
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
Phase change materials in solar energy storage: Recent progress, environmental impact, challenges, and perspectives
Abdulhammed K. Hamzat, Adewale Hammed Pasanaje, Mayowa I. Omisanya, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115762-115762
Closed Access
Predicting distribution coefficient and effective diffusion coefficient of radionuclides in bentonite: multi-output neural network simulation and diffusion experimental study
Jiaxing Feng, Xuemei Gao, Ke Xu, et al.
Journal of Hazardous Materials (2025) Vol. 490, pp. 137787-137787
Closed Access
A review of artificial intelligence to thermal energy storage and heat transfer improvement in phase change materials
Artur Nemś, Sindu Daniarta, Magdalena Nemś, et al.
Sustainable materials and technologies (2025), pp. e01348-e01348
Closed Access
Evaluating the effect of curing conditions on the glass transition of the structural adhesive using conditional tabular generative adversarial networks
Songbo Wang, Haixin Yang, Tim Stratford, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107796-107796
Open Access | Times Cited: 11
Binary dynamic stochastic search algorithm with support vector regression for feature selection in low-velocity impact localization problem
Qi Liu, Fengde Wang, Wensheng Xiao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106554-106554
Open Access | Times Cited: 8
The Contribution of Artificial Intelligence to Phase Change Materials in Thermal Energy Storage: From Prediction to Optimization
Shuli Liu, Junrui Han, Yongliang Shen, et al.
Renewable Energy (2024), pp. 121973-121973
Closed Access | Times Cited: 2
Deep learning-assisted calculation of apparent activation energy for cement-based systems incorporating microencapsulated phase change materials
Afshin Marani, Erfan Geranfar, Lei Zhang, et al.
Construction and Building Materials (2023) Vol. 404, pp. 133324-133324
Closed Access | Times Cited: 6
Thermal analysis of PCM magnesium chloride hexahydrate using various machine learning and deep learning models
Vignes Karthic Venkatraman Balakrishnan, K. Kannan
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107159-107159
Closed Access | Times Cited: 4
AI Agents for UHPC experimental design: High strength and low cost with fewer experimental trials
Mohamedelmujtaba Altayeb, Xin Wang, Maha R.I. Mahmoud, et al.
Construction and Building Materials (2024) Vol. 416, pp. 135206-135206
Closed Access | Times Cited: 1
Novel multi-scale experimental approach and deep learning model to optimize capillary pressure evolution in early age concrete
Armin Jamali, Afshin Marani, James Railton, et al.
Cement and Concrete Research (2024) Vol. 180, pp. 107490-107490
Open Access | Times Cited: 1
Probabilistic deep learning prediction of natural carbonation of low-carbon concrete incorporating SCMs
Afshin Marani, Timileyin M. Oyinkanola, Daman K. Panesar
Cement and Concrete Composites (2024) Vol. 152, pp. 105635-105635
Closed Access | Times Cited: 1
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