Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimizing ANN models with PSO for predicting short building seismic response
Hoang Nguyen, Hossein Moayedi, Loke Kok Foong, et al.
Engineering With Computers (2019) Vol. 36, Iss. 3, pp. 823-837
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning
Lê Thị Lệ, Hoang Nguyen, Jie Dou, et al.
Applied Sciences (2019) Vol. 9, Iss. 13, pp. 2630-2630
Open Access | Times Cited: 287
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
Jin Duan, Panagiotis G. Asteris, Hoang Nguyen, et al.
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3329-3346
Closed Access | Times Cited: 281
Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
Mahdi Shariati, Mohammad Saeed Mafipour, Peyman Mehrabi, et al.
Applied Sciences (2019) Vol. 9, Iss. 24, pp. 5534-5534
Open Access | Times Cited: 246
Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost
Xiliang Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 711-721
Closed Access | Times Cited: 154
Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost
Lê Thị Lệ, Hoang Nguyen, Jian Zhou, et al.
Applied Sciences (2019) Vol. 9, Iss. 13, pp. 2714-2714
Open Access | Times Cited: 128
A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network
Yonghui Shang, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 723-737
Closed Access | Times Cited: 113
Artificial intelligence-enabled smart mechanical metamaterials: advent and future trends
Pengcheng Jiao, Amir H. Alavi
International Materials Reviews (2020) Vol. 66, Iss. 6, pp. 365-393
Open Access | Times Cited: 103
Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms
Ziwei Ding, Hoang Nguyen, Xuan-Nam Bui, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 751-769
Closed Access | Times Cited: 98
Comparison of dragonfly algorithm and Harris hawks optimization evolutionary data mining techniques for the assessment of bearing capacity of footings over two-layer foundation soils
Hossein Moayedi, Mu’azu Mohammed Abdullahi, Hoang Nguyen, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 437-447
Closed Access | Times Cited: 91
Multi-objective heat transfer search algorithm for truss optimization
Ghanshyam G. Tejani, Sumit Kumar, Amir H. Gandomi
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 641-662
Closed Access | Times Cited: 89
Chaotic oppositional sine–cosine method for solving global optimization problems
Liang Xi, Zhennao Cai, Mingjing Wang, et al.
Engineering With Computers (2020) Vol. 38, Iss. 2, pp. 1223-1239
Closed Access | Times Cited: 89
Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system
Longqi Liu, Hossein Moayedi, Ahmad Safuan A. Rashid, et al.
Engineering With Computers (2019) Vol. 36, Iss. 1, pp. 421-433
Closed Access | Times Cited: 86
An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil
Muhammad Nouman Amjad Raja, Sanjay Kumar Shukla, Muhammad Umer Arif Khan
International Journal of Pavement Engineering (2021) Vol. 23, Iss. 10, pp. 3505-3521
Open Access | Times Cited: 86
Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms
Hoang Nguyen, Yosoon Choi, Xuan-Nam Bui, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 132-132
Open Access | Times Cited: 80
Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm
Hong Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Resources Policy (2020) Vol. 66, pp. 101604-101604
Closed Access | Times Cited: 77
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
Abolfazl Jaafari, Mahdi Panahi, Davood Mafi-Gholami, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108254-108254
Closed Access | Times Cited: 74
Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms
Chengyu Xie, Hoang Nguyen, Xuan-Nam Bui, et al.
Geoscience Frontiers (2020) Vol. 12, Iss. 3, pp. 101108-101108
Open Access | Times Cited: 73
Exploring the Potential of Machine Learning in Stochastic Reliability Modelling for Reinforced Soil Foundations
Muhammad Nouman Amjad Raja, Tarek Abdoun, Waleed El-Sekelly
Buildings (2024) Vol. 14, Iss. 4, pp. 954-954
Open Access | Times Cited: 13
Hybrid machine learning models for predicting compressive strength of self-compacting concrete: an integration of ANFIS and Metaheuristic algorithm
Somdutta, Baboo Rai
Nondestructive Testing And Evaluation (2025), pp. 1-33
Closed Access | Times Cited: 1
A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization
Xuan-Nam Bui, Pirat Jaroonpattanapong, Hoang Nguyen, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 76
A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET
Hongquan Guo, Hoang Nguyen, Xuan-Nam Bui, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 421-435
Closed Access | Times Cited: 69
A novel artificial intelligence technique for analyzing slope stability using PSO-CA model
Zhenyan Luo, Xuan-Nam Bui, Hoang Nguyen, et al.
Engineering With Computers (2019) Vol. 37, Iss. 1, pp. 533-544
Closed Access | Times Cited: 69
Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization
Xiliang Zhang, Hoang Nguyen, Xuan-Nam Bui, et al.
Tunnelling and Underground Space Technology (2020) Vol. 103, pp. 103517-103517
Closed Access | Times Cited: 68
Evaluation and comparison of the advanced metaheuristic and conventional machine learning methods for the prediction of landslide occurrence
Chao Yuan, Hossein Moayedi
Engineering With Computers (2019) Vol. 36, Iss. 4, pp. 1801-1811
Closed Access | Times Cited: 57
Genetic algorithm hybridized with multilayer perceptron to have an economical slope stability design
Hong Wang, Hossein Moayedi, Loke Kok Foong
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3067-3078
Closed Access | Times Cited: 57
Page 1 - Next Page

Scroll to top