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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:

Improved Levenberg–Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams
Jue Zhao, Hoang Nguyen, T. Nguyen‐Thoi, et al.
Engineering With Computers (2021) Vol. 38, Iss. S5, pp. 3847-3869
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 131
Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete
Liborio Cavaleri, Mohammad Sadegh Barkhordari, Constantinos C. Repapis, et al.
Construction and Building Materials (2022) Vol. 359, pp. 129504-129504
Closed Access | Times Cited: 108
Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques
Panagiotis G. Asteris, Fariz Iskandar Mohd Rizal, Mohammadreza Koopialipoor, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1753-1753
Open Access | Times Cited: 85
A novel deep unsupervised learning-based framework for optimization of truss structures
Hau T., Qui X. Lieu, Joo‐Won Kang, et al.
Engineering With Computers (2022) Vol. 39, Iss. 4, pp. 2585-2608
Closed Access | Times Cited: 45
Short-Term Power Generation Forecasting of a Photovoltaic Plant Based on PSO-BP and GA-BP Neural Networks
Yuanqi Li, Lei Zhou, Peiqi Gao, et al.
Frontiers in Energy Research (2022) Vol. 9
Open Access | Times Cited: 40
Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes
Caicheng Wang, Zili Wang, Shuyou Zhang, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 3, pp. 1060-1079
Open Access | Times Cited: 38
Rock-Burst Occurrence Prediction Based on Optimized Naïve Bayes Models
Bo Ke, Manoj Khandelwal, Panagiotis G. Asteris, et al.
IEEE Access (2021) Vol. 9, pp. 91347-91360
Open Access | Times Cited: 46
Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating
Hira Ilyas, Iftikhar Ahmad, Muhammad Asif Zahoor Raja, et al.
International Journal of Hydrogen Energy (2021) Vol. 46, Iss. 55, pp. 28298-28326
Closed Access | Times Cited: 45
Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels
Jie Zeng, Panayiotis C. Roussis, Ahmed Salih Mohammed, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3705-3705
Open Access | Times Cited: 43
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
Ramin Kazemi
Engineering Reports (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 22
Design of Finite Difference Method and Neural Network Approach for Casson Nanofluid Flow: A Computational Study
Muhammad Shoaib Arif, Kamaleldin Abodayeh, Yasir Nawaz
Axioms (2023) Vol. 12, Iss. 6, pp. 527-527
Open Access | Times Cited: 17
Predicting the compressive strength of fiber-reinforced self-consolidating concrete using a hybrid machine learning approach
Turki S. Alahmari, Jawad Ashraf, Md. Habibur Rahman Sobuz, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Closed Access | Times Cited: 8
Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive
Mohammed Ali Mohammed Al-Bared, Zahiraniza Mustaffa, Danial Jahed Armaghani, et al.
Transportation Geotechnics (2021) Vol. 30, pp. 100627-100627
Closed Access | Times Cited: 35
Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil
Duc Dam Nguyen, Panayiotis C. Roussis, Binh Thai Pham, et al.
Transportation Geotechnics (2022) Vol. 36, pp. 100797-100797
Closed Access | Times Cited: 25
A Comparative Analysis of Polynomial Regression and Artificial Neural Networks for Prediction of Lighting Consumption
Pavol Belány, Peter Hrabovský, Štefan Šedivý, et al.
Buildings (2024) Vol. 14, Iss. 6, pp. 1712-1712
Open Access | Times Cited: 5
A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index
Maryam Parsajoo, Danial Jahed Armaghani, Panagiotis G. Asteris
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3263-3281
Closed Access | Times Cited: 31
Stacking Ensemble Tree Models to Predict Energy Performance in Residential Buildings
Ahmed Salih Mohammed, Panagiotis G. Asteris, Mohammadreza Koopialipoor, et al.
Sustainability (2021) Vol. 13, Iss. 15, pp. 8298-8298
Open Access | Times Cited: 29
Unraveling seismic uplift behavior of plate anchors in frictional-cohesive soils: A comprehensive analysis through stability factors and machine learning
Jim Shiau, Tan Nguyen, Duy Ly-Khuong
Ocean Engineering (2024) Vol. 297, pp. 116987-116987
Closed Access | Times Cited: 4
Performance evaluation of nanotubular halloysites from weathered pegmatites in removing heavy metals from water through novel artificial intelligence-based models and human-based optimization algorithm
Bui Hoang Bac, Hoang Nguyen, Nguyễn Thị Thảo, et al.
Chemosphere (2021) Vol. 282, pp. 131012-131012
Closed Access | Times Cited: 24
Design of neural networks for second-order velocity slip of nanofluid flow in the presence of activation energy
Kottakkaran Sooppy Nisar, Muhammad Shoaib, Muhammad Asif Zahoor Raja, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 3, pp. 6255-6277
Open Access | Times Cited: 11
Exploration on Neural Network Algorithms in Optimization Technology of Engineering Machinery Remanufacturing
Changqing Zhong, Yanwei Yang, Huanli He
Sustainable civil infrastructures (2025), pp. 567-578
Closed Access
Interpretable real-time monitoring of short-term rockbursts in underground spaces based on microseismic activities
Mohammad Hossein Kadkhodaei, Ebrahim Ghasemi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Early estimation of the long-term deflection of reinforced concrete beams using surrogate models
Ngoc‐Mai Nguyen, Wei‐Chih Wang, Minh-Tu Cao
Construction and Building Materials (2023) Vol. 370, pp. 130670-130670
Closed Access | Times Cited: 9
Numerical computing with Levenberg–Marquardt backpropagation networks for nonlinear SEIR Ebola virus epidemic model
Tahir Nawaz Cheema, Shafaq Naz
AIP Advances (2021) Vol. 11, Iss. 9
Open Access | Times Cited: 17
Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images
João Pedro Miranda Miguel, Leandro Alves Neves, Alessandro S. Martins, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120609-120609
Closed Access | Times Cited: 7
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