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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:

Fuzzy-metaheuristic ensembles for predicting the compressive strength of brick aggregate concrete
Wafaa Mohamed Shaban, Jian Yang, Khalid Elbaz, et al.
Resources Conservation and Recycling (2021) Vol. 169, pp. 105443-105443
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation
Lan Vu, Kelvin Tsun Wai Ng, Amy Richter, et al.
Journal of Environmental Management (2022) Vol. 311, pp. 114869-114869
Closed Access | Times Cited: 125
Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems
Hao Yan, Wendong Yang, Kedong Yin
Expert Systems with Applications (2023) Vol. 219, pp. 119636-119636
Closed Access | Times Cited: 42
Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models
Hai‐Van Thi, May Huu Nguyen, Son Hoang Trinh, et al.
Construction and Building Materials (2023) Vol. 369, pp. 130613-130613
Closed Access | Times Cited: 40
Machine learning and interactive GUI for concrete compressive strength prediction
Mohamed Kamel Elshaarawy, Mostafa M. Alsaadawi, Abdelrahman Kamal Hamed
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 33
The prediction analysis of compressive strength and electrical resistivity of environmentally friendly concrete incorporating natural zeolite using artificial neural network
Amir Ali Shahmansouri, Maziar Yazdani, Mehdi Hosseini, et al.
Construction and Building Materials (2021) Vol. 317, pp. 125876-125876
Closed Access | Times Cited: 63
Metaheuristic‐based machine learning modeling of the compressive strength of concrete containing waste glass
Mohamed El Amine Ben Seghier, Emadaldin Mohammadi Golafshani, Jafar Jafari‐Asl, et al.
Structural Concrete (2023) Vol. 24, Iss. 4, pp. 5417-5440
Open Access | Times Cited: 26
Mixed artificial intelligence models for compressive strength prediction and analysis of fly ash concrete
Wei Liang, Wei Yin, Yu Zhong, et al.
Advances in Engineering Software (2023) Vol. 185, pp. 103532-103532
Closed Access | Times Cited: 21
Reverse design for mixture proportions of recycled brick aggregate concrete using machine learning-based meta-heuristic algorithm: A multi-objective driven study
Yuhan Wang, Shuyuan Zhang, Zhe Zhang, et al.
Journal of CO2 Utilization (2024) Vol. 88, pp. 102944-102944
Open Access | Times Cited: 7
Advancing Precision Agriculture: Enhanced Weed Detection Using the Optimized YOLOv8T Model
Shubham Sharma, Manu Vardhan
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 5
Enhancing compressive strength and sustainability: a machine learning approach to recycled brick and tile concrete mix design
Hai‐Bang Ly, Thuy‐Anh Nguyen
Materials Today Communications (2024) Vol. 40, pp. 109642-109642
Closed Access | Times Cited: 4
A multi-objective optimization algorithm for forecasting the compressive strength of RAC with pozzolanic materials
Wafaa Mohamed Shaban, Khalid Elbaz, Jian Yang, et al.
Journal of Cleaner Production (2021) Vol. 327, pp. 129355-129355
Closed Access | Times Cited: 30
Prediction model and measurement of fracture parameters in eco-friendly coarse copper slag-SFRSCC based on semi-circular bending test
Iman Afshoon, Mahmoud Miri, Seyed Roohollah Mousavi
Construction and Building Materials (2023) Vol. 406, pp. 133418-133418
Closed Access | Times Cited: 12
Comparative analysis of cement grade and cement strength as input features for machine learning-based concrete strength prediction
Jeonghyun Kim, Donwoo Lee, Andrzej Ubysz
Case Studies in Construction Materials (2024) Vol. 21, pp. e03557-e03557
Open Access | Times Cited: 4
Experimental Study of Chloride Resistance of Polypropylene Fiber Reinforced Concrete with Fly Ash and Modeling
Xuefei Chen, Chang-Qing Quan, Chujie Jiao
Materials (2021) Vol. 14, Iss. 16, pp. 4417-4417
Open Access | Times Cited: 24
Earthquake effects on civil engineering structures and perspective mitigation solutions: a review
Mohsin Abbas, Khalid Elbaz, Shui‐Long Shen, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 14
Closed Access | Times Cited: 23
A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete
Wafaa Mohamed Shaban, Khalid Elbaz, Mohamed Amin, et al.
Frontiers of Structural and Civil Engineering (2022) Vol. 16, Iss. 3, pp. 329-346
Closed Access | Times Cited: 17
Novel hybrid machine learning models including support vector machine with meta-heuristic algorithms in predicting unconfined compressive strength of organic soils stabilised with cement and lime
Trinh Quoc Ngo, Linh Quy Nguyen, Van Quan Tran
International Journal of Pavement Engineering (2022) Vol. 24, Iss. 2
Closed Access | Times Cited: 17
Prediction of compressive strength of fiber-reinforced polymers-confined cylindrical concrete using artificial intelligence methods
Faride Jamali, Seyed Roohollah Mousavi, Abdolhamid Bahr Peyma, et al.
Journal of Reinforced Plastics and Composites (2022) Vol. 41, Iss. 17-18, pp. 679-704
Closed Access | Times Cited: 15
Predict the compressive strength of ultra high-performance concrete by a hybrid method of machine learning
Nana Gong, Naimin Zhang
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access | Times Cited: 8
PINN Model of Diffusion Coefficient Identification Problem in Fick’s Laws
Dongchen Li, Bin Yan, Tianya Gao, et al.
ACS Omega (2024)
Open Access | Times Cited: 2
Production of sustainable plastering mortar containing waste clay brick aggregates
Zhenhai Xu, Zhaohui Zhu, Yasong Zhao, et al.
Case Studies in Construction Materials (2022) Vol. 16, pp. e01120-e01120
Open Access | Times Cited: 12
A machine learning approach for assessing the compressive strength of cementitious composites reinforced by graphene derivatives
Arman Montazerian, Mohammad Hajmohammadian Baghban, Raghavendra Ramachandra, et al.
Construction and Building Materials (2023) Vol. 409, pp. 134014-134014
Open Access | Times Cited: 6
Water savings of LEED-certified buildings
Kaifang Luo, John H. Scofield, Yueming Qiu
Resources Conservation and Recycling (2021) Vol. 175, pp. 105856-105856
Closed Access | Times Cited: 15
Mechanical characterization and durability of earth blocks
Jacqueline Saliba, Andreas Schultz, Janis Moye, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 5
Mobile application development for estimation of permissible load on shallow and deep foundation using SPT data
Vishwas N. Khatri, Jitendra Singh Yadav, Shuvam Sundriyal
Smart Construction and Sustainable Cities (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 4
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