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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:

The potential of novel data mining models for global solar radiation prediction
Ahmad Sharafati, Khabat Khosravi, Payam Khosravinia, et al.
International Journal of Environmental Science and Technology (2019) Vol. 16, Iss. 11, pp. 7147-7164
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Improving prediction of water quality indices using novel hybrid machine-learning algorithms
Duie Tien Bui, Khabat Khosravi, John P. Tiefenbacher, et al.
The Science of The Total Environment (2020) Vol. 721, pp. 137612-137612
Closed Access | Times Cited: 315
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Yong Zhou, Yanfeng Liu, Dengjia Wang, et al.
Energy Conversion and Management (2021) Vol. 235, pp. 113960-113960
Closed Access | Times Cited: 174
Forecasting of solar radiation using different machine learning approaches
Vahdettin Demir, Hatice Çıtakoğlu
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 887-906
Closed Access | Times Cited: 84
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Mostafa Riazi, Khabat Khosravi, Kaka Shahedi, et al.
The Science of The Total Environment (2023) Vol. 871, pp. 162066-162066
Closed Access | Times Cited: 48
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Esmaeel Dodangeh, Mahdi Panahi, Fatemeh Rezaie, et al.
Journal of Hydrology (2020) Vol. 590, pp. 125423-125423
Closed Access | Times Cited: 131
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
Khabat Khosravi, Prasad Daggupati, Mohammad Taghi Alami, et al.
Computers and Electronics in Agriculture (2019) Vol. 167, pp. 105041-105041
Closed Access | Times Cited: 119
Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model
Anurag Malik, Anil Kumar, Sungwon Kim, et al.
Engineering Applications of Computational Fluid Mechanics (2020) Vol. 14, Iss. 1, pp. 323-338
Open Access | Times Cited: 113
A strategy to assess the uncertainty of a climate change impact on extreme hydrological events in the semi-arid Dehbar catchment in Iran
Ahmad Sharafati, Elnaz Pezeshki
Theoretical and Applied Climatology (2019) Vol. 139, Iss. 1-2, pp. 389-402
Closed Access | Times Cited: 109
River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
Sinan Q. Salih, Ahmad Sharafati, Khabat Khosravi, et al.
Hydrological Sciences Journal (2019) Vol. 65, Iss. 4, pp. 624-637
Open Access | Times Cited: 104
Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping
Seyed Vahid Razavi Termeh, Khabat Khosravi, Majid Sartaj, et al.
Hydrogeology Journal (2019) Vol. 27, Iss. 7, pp. 2511-2534
Closed Access | Times Cited: 96
Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia
Ellysia Jumin, Faridah Basaruddin, Yuzainee Bte. Md Yusoff, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 21, pp. 26571-26583
Closed Access | Times Cited: 96
River Water Salinity Prediction Using Hybrid Machine Learning Models
Assefa M. Melesse, Khabat Khosravi, John P. Tiefenbacher, et al.
Water (2020) Vol. 12, Iss. 10, pp. 2951-2951
Open Access | Times Cited: 93
Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India
Ahmed Elbeltagi, Chaitanya B. Pande, Saber Kouadri, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 12, pp. 17591-17605
Closed Access | Times Cited: 79
Bedload transport rate prediction: Application of novel hybrid data mining techniques
Khabat Khosravi, James R. Cooper, Prasad Daggupati, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124774-124774
Closed Access | Times Cited: 78
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: 77
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
Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm
Dieu Tien Bui, Khabat Khosravi, Mahshid Karimi, et al.
The Science of The Total Environment (2020) Vol. 715, pp. 136836-136836
Closed Access | Times Cited: 73
ForecastTB—An R Package as a Test-Bench for Time Series Forecasting—Application of Wind Speed and Solar Radiation Modeling
Neeraj Dhanraj Bokde, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Gorm Bruun Andersen
Energies (2020) Vol. 13, Iss. 10, pp. 2578-2578
Open Access | Times Cited: 72
Hybrid Techniques to Predict Solar Radiation Using Support Vector Machine and Search Optimization Algorithms: A Review
José M. Álvarez-Alvarado, José Gabriel Ríos-Moreno, Saúl Antonio Obregón Biosca, et al.
Applied Sciences (2021) Vol. 11, Iss. 3, pp. 1044-1044
Open Access | Times Cited: 64
Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction
Tao Hai, Salih Muhammad Awadh, Sinan Q. Salih, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 515-533
Closed Access | Times Cited: 63
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: 56
Water Quality Management Using Hybrid Machine Learning and Data Mining Algorithms: An Indexing Approach
Bilal Aslam, Ahsen Maqsoom, Ali Hassan Cheema, et al.
IEEE Access (2022) Vol. 10, pp. 119692-119705
Open Access | Times Cited: 41
A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks
Musawenkosi Lethumcebo Thanduxolo Zulu, Rudiren Pillay Carpanen, Remy Tiako
Energies (2023) Vol. 16, Iss. 4, pp. 1786-1786
Open Access | Times Cited: 33
Determination of compound channel apparent shear stress: application of novel data mining models
Zohreh Sheikh Khozani, Khabat Khosravi, Binh Thai Pham, et al.
Journal of Hydroinformatics (2019) Vol. 21, Iss. 5, pp. 798-811
Open Access | Times Cited: 74
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
Viet‐Ha Nhu, Himan Shahabi, Ebrahim Nohani, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 8, pp. 479-479
Open Access | Times Cited: 68
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