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:

A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
Binh Thai Pham, Manh Duc Nguyen, Kien-Trinh Thi Bui, et al.
CATENA (2018) Vol. 173, pp. 302-311
Closed Access | Times Cited: 179

Showing 1-25 of 179 citing articles:

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
Quang Hung Nguyen, Haï-Bang Ly, Lanh Si Ho, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 468
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari, Mahdi Panahi, Binh Thai Pham, et al.
CATENA (2019) Vol. 175, pp. 430-445
Closed Access | Times Cited: 236
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2749-2749
Open Access | Times Cited: 221
GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
Binh Thai Pham, Mohammadtaghi Avand, Saeid Janizadeh, et al.
Water (2020) Vol. 12, Iss. 3, pp. 683-683
Open Access | Times Cited: 207
Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion
Younes Garosi, Mohsen Sheklabadi, Christian Conoscenti, et al.
The Science of The Total Environment (2019) Vol. 664, pp. 1117-1132
Closed Access | Times Cited: 189
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis
Binh Thai Pham, Manh Duc Nguyen, Dong Van Dao, et al.
The Science of The Total Environment (2019) Vol. 679, pp. 172-184
Closed Access | Times Cited: 151
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania
Romulus Costache, Dieu Tien Bui
The Science of The Total Environment (2019) Vol. 691, pp. 1098-1118
Closed Access | Times Cited: 149
Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility
Hossein Moayedi, Mohammad Mehrabi, Dieu Tien Bui, et al.
Journal of Environmental Management (2020) Vol. 260, pp. 109867-109867
Closed Access | Times Cited: 141
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
Global exponential synchronization of discrete-time high-order switched neural networks and its application to multi-channel audio encryption
Zeyu Dong, Xin Wang, Xian Zhang, et al.
Nonlinear Analysis Hybrid Systems (2022) Vol. 47, pp. 101291-101291
Closed Access | Times Cited: 85
General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study
Christoph Buck, Eileen Doctor, Jasmin Hennrich, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 1, pp. e28916-e28916
Open Access | Times Cited: 77
Hybrid catboost models optimized with metaheuristics for predicting shear strength in rock joints
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Matin Rouhani, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 3
Closed Access | Times Cited: 2
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
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 125
Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods
Jianwei Tian, Chongchong Qi, Yingfeng Sun, et al.
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3455-3471
Closed Access | Times Cited: 119
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
Binh Thai Pham, Tran Van Phong, Huu Duy Nguyen, et al.
Water (2020) Vol. 12, Iss. 1, pp. 239-239
Open Access | Times Cited: 111
A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil
Binh Thai Pham, Chongchong Qi, Lanh Si Ho, et al.
Sustainability (2020) Vol. 12, Iss. 6, pp. 2218-2218
Open Access | Times Cited: 109
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
Sunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1313-1313
Open Access | Times Cited: 95
Predicting Slope Stability Failure through Machine Learning Paradigms
Dieu Tien Bui, Hossein Moayedi, Mesut Gör, et al.
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 9, pp. 395-395
Open Access | Times Cited: 91
Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Weiying Fan, Yao Chen, Jiaqiang Li, et al.
Structures (2021) Vol. 33, pp. 3954-3963
Closed Access | Times Cited: 91
Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete
Haï-Bang Ly, Binh Thai Pham, Dong Van Dao, et al.
Applied Sciences (2019) Vol. 9, Iss. 18, pp. 3841-3841
Open Access | Times Cited: 90
Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete
Dong Van Dao, Haï-Bang Ly, Huong-Lan Thi Vu, et al.
Materials (2020) Vol. 13, Iss. 5, pp. 1072-1072
Open Access | Times Cited: 88
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
Hossein Moayedi, Dieu Tien Bui, Mesut Gör, et al.
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 9, pp. 391-391
Open Access | Times Cited: 84
Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams
Haï-Bang Ly, Tien-Thinh Le, Huong-Lan Thi Vu, et al.
Sustainability (2020) Vol. 12, Iss. 7, pp. 2709-2709
Open Access | Times Cited: 82
Page 1 - Next Page

Scroll to top