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 Framework Based on the Stacking Ensemble Machine Learning (SEML) Method: Application in Wind Speed Modeling
Amirreza Morshed-Bozorgdel, Mojtaba Kadkhodazadeh, Mahdi Valikhan Anaraki, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 758-758
Open Access | Times Cited: 24

Showing 24 citing articles:

A Critical Review of Machine Learning Techniques on Thermoelectric Materials
Xiangdong Wang, Ye Sheng, Jinyan Ning, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 7, pp. 1808-1822
Closed Access | Times Cited: 33
Forecasting carbon dioxide emissions: application of a novel two-stage procedure based on machine learning models
Chunzi Wang, Moye Li, Junpeng Yan
Journal of Water and Climate Change (2023) Vol. 14, Iss. 2, pp. 477-493
Open Access | Times Cited: 25
Design optimization of solar collectors with hybrid nanofluids: An integrated ansys and machine learning study
Omer A. Alawi, Haslinda Mohamed Kamar, Ali H. Abdelrazek, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 271, pp. 112822-112822
Closed Access | Times Cited: 8
Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria
Mahdi Valikhan Anaraki, Mohammed Achite, Saeed Farzin, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3576-3576
Open Access | Times Cited: 16
Prediction of groundwater level fluctuations under climate change based on machine learning algorithms in the Mashhad aquifer, Iran
Ghasem Panahi, Mahya Hassanzadeh Eskafi, Alireza Faridhosseini, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 3, pp. 1039-1059
Open Access | Times Cited: 14
Modeling the optimal dosage of coagulants in water treatment plants using various machine learning models
Mohammed Achite, Saeed Farzin, Nehal Elshaboury, et al.
Environment Development and Sustainability (2022) Vol. 26, Iss. 2, pp. 3395-3421
Closed Access | Times Cited: 20
A new methodology for the prediction of optimal conditions for dyes' electrochemical removal; Application of copula function, machine learning, deep learning, and multi-objective optimization
Farideh Nabizadeh Chianeh, Mahdi Valikhan Anaraki, Fatemeh Mahmoudian, et al.
Process Safety and Environmental Protection (2023) Vol. 182, pp. 298-313
Closed Access | Times Cited: 11
Novel methodology for prediction of missing values in River flow based on convolution neural networks: Principles and application in Iran country
Saeed Farzin, Mahdi Valikhan Anaraki, Mojtaba Kadkhodazadeh, et al.
Physics and Chemistry of the Earth Parts A/B/C (2025), pp. 103875-103875
Closed Access
Predicting rainfall response to climate change and uncertainty analysis: Introducing a novel downscaling CMIP6 models technique based on the stacking ensemble machine learning
Mahdi Valikhan Anaraki, Mojtaba Kadkhodazadeh, Amirreza Morshed-Bozorgdel, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 10, pp. 3671-3691
Open Access | Times Cited: 9
Assessment and prediction of regional climate based on a multimodel ensemble machine learning method
Yinghao Fu, Haoran Zhuang, Xiaojing Shen, et al.
Climate Dynamics (2023) Vol. 61, Iss. 9-10, pp. 4139-4158
Closed Access | Times Cited: 8
Identifying the spatial pattern and driving factors of nitrate in groundwater using a novel framework of interpretable stacking ensemble learning
Xuan Li, Guohua Liang, Lei Wang, et al.
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 11
Open Access | Times Cited: 2
Evaluation of statistical downscaling model's performance in projecting future climate change scenarios
Rituraj Shukla, Deepak Khare, Anuj Kumar Dwivedi, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 10, pp. 3559-3595
Open Access | Times Cited: 6
A Global Modeling Pruning Ensemble Stacking With Deep Learning and Neural Network Meta-Learner for Passenger Train Delay Prediction
Veronica A. Boateng, Bo Yang
IEEE Access (2023) Vol. 11, pp. 62605-62615
Open Access | Times Cited: 5
A novel hybrid framework based on the ANFIS, discrete wavelet transform, and optimization algorithm for the estimation of water quality parameters
Mojtaba Kadkhodazadeh, Saeed Farzin
Journal of Water and Climate Change (2022) Vol. 13, Iss. 8, pp. 2940-2961
Open Access | Times Cited: 8
A Probabilistic Runoff Prediction Model Based on Improved Long Short-Term Memory and Interval Correction
Shuang Zhu, Maoyu Zhang, Chao Wang, et al.
Journal of Hydrologic Engineering (2024) Vol. 29, Iss. 4
Closed Access | Times Cited: 1
Lead-Time Prediction in Wind Tower Manufacturing: A Machine Learning-Based Approach
Kenny-Jesús Flores-Huamán, Alejandro Escudero-Santana, María-Luisa Muñoz-Díaz, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2347-2347
Open Access | Times Cited: 1
Machine Learning-Based Analysis of a Wind Turbine Manufacturing Operation: A Case Study
Antonio Lorenzo-Espejo, Alejandro Escudero-Santana, María-Luisa Muñoz-Díaz, et al.
Sustainability (2022) Vol. 14, Iss. 13, pp. 7779-7779
Open Access | Times Cited: 7
Research on Modeling Weighted Average Temperature Based on the Machine Learning Algorithms
Kai Li, Li Li, Andong Hu, et al.
Atmosphere (2023) Vol. 14, Iss. 8, pp. 1251-1251
Open Access | Times Cited: 3
Displacement Prediction of Channel Slope Based on EEMD-IESSA-LSSVM Combined Algorithm
Hongyun Yao, Guanlin Song, Yibo Li
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9582-9582
Open Access | Times Cited: 2
Prediction of Rock Fracture Pressure in Hydraulic Fracturing with Interpretable Machine Learning and Mechanical Specific Energy Theory
Xiaoying Zhuang, Yuhang Liu, Yuwen Hu, et al.
Rock Mechanics Bulletin (2024), pp. 100173-100173
Open Access
HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models
Luan Carlos de Sena Monteiro Ozelim, Dimas Betioli Ribeiro, José Antonio Schiavon, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0290331-e0290331
Open Access | Times Cited: 1
Improving the hindcast of the northward shift of South Asian high in June with machine learning
Feng Zeng, Shu Gui, Ruowen Yang, et al.
Atmospheric Research (2023) Vol. 299, pp. 107173-107173
Closed Access | Times Cited: 1
Hydrological drought analysis in response to climate change based on a novel hybrid machine learning algorithm
Amirreza Morshed-Bozorgdel, Khosrow Hosseini, Saeed Farzin
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
An Analysis of Rainfall Characteristics and Rainfall Flood Relationships in Cities along the Yangtze River Based on Machine Learning: A Case Study of Luzhou
Yuanyuan Liu, Yesen Liu, Jiazhuo Wang, et al.
Water (2023) Vol. 15, Iss. 21, pp. 3755-3755
Open Access
Page 1

Scroll to top