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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:

Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model
Tao Hai, Ahmad Sharafati, Mohammed Achite, et al.
IEEE Access (2020) Vol. 8, pp. 12026-12042
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Davide Motta, et al.
Journal of environmental chemical engineering (2020) Vol. 9, Iss. 1, pp. 104599-104599
Closed Access | Times Cited: 262
Groundwater level prediction using machine learning models: A comprehensive review
Tao Hai, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, et al.
Neurocomputing (2022) Vol. 489, pp. 271-308
Open Access | Times Cited: 253
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Rana Muhammad Adnan, Reham R. Mostafa, Özgür Kişi, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107379-107379
Closed Access | Times Cited: 165
The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty
Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, Majid Hosseinzadeh
Process Safety and Environmental Protection (2020) Vol. 140, pp. 68-78
Closed Access | Times Cited: 140
ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5029-5029
Open Access | Times Cited: 46
Short-Medium-Term Solar Irradiance Forecasting with a CEEMDAN-CNN-ATT-LSTM Hybrid Model Using Meteorological Data
M Mora Camacho, Jorge Maldonado-Correa, Joel Torres-Cabrera, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1275-1275
Open Access | Times Cited: 1
Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis
Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, Davide Motta, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 12, pp. 2022-2042
Open Access | Times Cited: 90
Time Series Analysis and Forecasting of Air Pollution Particulate Matter (PM2.5): An SARIMA and Factor Analysis Approach
Uzair Aslam Bhatti, Yuhuan Yan, Mingquan Zhou, et al.
IEEE Access (2021) Vol. 9, pp. 41019-41031
Open Access | Times Cited: 85
Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model
Tao Hai, Ahmed A. Ewees, Ali Omran Al-Sulttani, et al.
Energy Reports (2020) Vol. 7, pp. 136-157
Open Access | Times Cited: 76
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model
Sujan Ghimire, Thong Nguyen‐Huy, Ravinesh C. Deo, et al.
Sustainable materials and technologies (2022) Vol. 32, pp. e00429-e00429
Closed Access | Times Cited: 66
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104860-104860
Open Access | Times Cited: 65
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Leonardo Goliatt, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Expert Systems with Applications (2022) Vol. 212, pp. 118295-118295
Closed Access | Times Cited: 54
Pan Evaporation Estimation in Uttarakhand and Uttar Pradesh States, India: Validity of an Integrative Data Intelligence Model
Anurag Malik, Priya Rai, Salim Heddam, et al.
Atmosphere (2020) Vol. 11, Iss. 6, pp. 553-553
Open Access | Times Cited: 56
Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
Mumtaz Ali, Ramendra Prasad, Yong Xiang, et al.
Energy Reports (2021) Vol. 7, pp. 6700-6717
Open Access | Times Cited: 47
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Olusola Bamisile, Dongsheng Cai, Ariyo Oluwasanmi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29
Machine learning models development for shear strength prediction of reinforced concrete beam: a comparative study
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Optimal Combination and Sizing of a Stand–Alone Hybrid Energy System Using a Nomadic People Optimizer
Abbas Q. Mohammed, Kassim A. Al-Anbarri, Rafid M. Hannun
IEEE Access (2020) Vol. 8, pp. 200518-200540
Open Access | Times Cited: 42
Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Journal of Cleaner Production (2022) Vol. 379, pp. 134820-134820
Closed Access | Times Cited: 26
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Mumtaz Ali, Ravinesh C. Deo, Yong Xiang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm
Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119811-119811
Closed Access | Times Cited: 14
An extreme learning machine optimized by differential evolution and artificial bee colony for predicting the concentration of whole blood with Fourier Transform Raman spectroscopy
Qiaoyun Wang, Shuai Song, Lei Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 292, pp. 122423-122423
Open Access | Times Cited: 13
PIN: A new metric to evaluate solar irradiance forecast models
Armando Temporal-Neto, Rizzieri Pedruzzi, José Bione de Melo Filho, et al.
Energy Reports (2025) Vol. 13, pp. 2307-2315
Closed Access
A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms
Javad Alavi, Ahmed A. Ewees, Sepideh Ansari, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 14, pp. 20496-20516
Closed Access | Times Cited: 28
MPL-GAN: Toward Realistic Meteorological Predictive Learning Using Conditional GAN
Hongbin Liu, Ickjai Lee
IEEE Access (2020) Vol. 8, pp. 93179-93186
Open Access | Times Cited: 31
Application of Artificial Intelligence Models for Evapotranspiration Prediction along the Southern Coast of Turkey
Mohammed Majeed Hameed, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 26
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