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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:

Development of advanced artificial intelligence models for daily rainfall prediction
Binh Thai Pham, Lei Lü, Tien-Thinh Le, et al.
Atmospheric Research (2020) Vol. 237, pp. 104845-104845
Closed Access | Times Cited: 195

Showing 1-25 of 195 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: 467
The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities
Tan Yiğitcanlar, Federico Cugurullo
Sustainability (2020) Vol. 12, Iss. 20, pp. 8548-8548
Open Access | Times Cited: 232
A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation
Dong Van Dao, Hojjat Adeli, Haï-Bang Ly, et al.
Sustainability (2020) Vol. 12, Iss. 3, pp. 830-830
Open Access | Times Cited: 181
Artificial intelligence-based solutions for climate change: a review
Lin Chen, Zhonghao Chen, Yubing Zhang, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 5, pp. 2525-2557
Open Access | Times Cited: 168
Bayesian optimization based dynamic ensemble for time series forecasting
Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, et al.
Information Sciences (2022) Vol. 591, pp. 155-175
Closed Access | Times Cited: 145
AI-powered GUI for prediction of axial compression capacity in concrete-filled steel tube columns
Panagiotis G. Asteris, Konstantinos Daniel Tsavdaridis, Minas E. Lemonis, et al.
Neural Computing and Applications (2024)
Closed Access | Times Cited: 20
Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability
Mohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh lasboyee
Journal of Hydrology (2020) Vol. 595, pp. 125663-125663
Closed Access | Times Cited: 130
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
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
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models
Haï-Bang Ly, Binh Thai Pham, Lei Lü, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 8, pp. 3437-3458
Closed Access | Times Cited: 106
Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength
Haï-Bang Ly, May Huu Nguyen, Binh Thai Pham
Neural Computing and Applications (2021) Vol. 33, Iss. 24, pp. 17331-17351
Closed Access | Times Cited: 105
Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest
Tuan Anh Pham, Haï-Bang Ly, Van Quan Tran, et al.
Applied Sciences (2020) Vol. 10, Iss. 5, pp. 1871-1871
Open Access | Times Cited: 103
Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression
Hung Quang Nguyen, Haï-Bang Ly, Van Quan Tran, et al.
Materials (2020) Vol. 13, Iss. 5, pp. 1205-1205
Open Access | Times Cited: 92
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
Estimation of total dissolved solids (TDS) using new hybrid machine learning models
Fatemeh Barzegari Banadkooki, Mohammad Ehteram, Fatemeh Panahi, et al.
Journal of Hydrology (2020) Vol. 587, pp. 124989-124989
Closed Access | Times Cited: 88
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
High-efficiency chaotic time series prediction based on time convolution neural network
Wei Cheng, Yan Wang, Peng Zheng, et al.
Chaos Solitons & Fractals (2021) Vol. 152, pp. 111304-111304
Closed Access | Times Cited: 72
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
Renfei He, Limao Zhang, Alvin Wei Ze Chew
Knowledge-Based Systems (2022) Vol. 251, pp. 109125-109125
Closed Access | Times Cited: 65
The Development of a Hybrid Wavelet-ARIMA-LSTM Model for Precipitation Amounts and Drought Analysis
Xianghua Wu, Jieqin Zhou, Huaying Yu, et al.
Atmosphere (2021) Vol. 12, Iss. 1, pp. 74-74
Open Access | Times Cited: 62
A new application of deep neural network (LSTM) and RUSLE models in soil erosion prediction
Sumudu Senanayake, Biswajeet Pradhan, Abdullah Alamri, et al.
The Science of The Total Environment (2022) Vol. 845, pp. 157220-157220
Closed Access | Times Cited: 58
Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129105-129105
Closed Access | Times Cited: 38
Application of Innovative Machine Learning Techniques for Long-Term Rainfall Prediction
Suman Markuna, Pankaj Kumar, Rawshan Ali, et al.
Pure and Applied Geophysics (2023) Vol. 180, Iss. 1, pp. 335-363
Closed Access | Times Cited: 38
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Nur’atiah Zaini, Ali Najah Ahmed, Lee Woen Ean, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139233-139233
Closed Access | Times Cited: 28
Robust intelligent paradigms for estimating fouling in phosphoric acid / steam heat exchanger
Rania Jradi, Christophe Marvillet, Mohamed Razak Jeday
Energy (2025) Vol. 315, pp. 134439-134439
Closed Access | Times Cited: 1
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