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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:

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
Ravinesh C. Deo, Mohammad Ali Ghorbani, Saeed Samadianfard, et al.
Renewable Energy (2017) Vol. 116, pp. 309-323
Closed Access | Times Cited: 133

Showing 1-25 of 133 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 545
Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM
Xiaolei Liu, Zi Lin, Zi‐Ming Feng
Energy (2021) Vol. 227, pp. 120492-120492
Open Access | Times Cited: 307
Predicting Standardized Streamflow index for hydrological drought using machine learning models
S. Shamshirband, Sajjad Hashemi, Hana Salimi, et al.
Engineering Applications of Computational Fluid Mechanics (2020) Vol. 14, Iss. 1, pp. 339-350
Open Access | Times Cited: 267
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
Gholamreza Memarzadeh, Farshid Keynia
Energy Conversion and Management (2020) Vol. 213, pp. 112824-112824
Closed Access | Times Cited: 251
Wind power generation: A review and a research agenda
Soraida Aguilar, Gheisa Roberta Telles Esteves, Paula Maçaira, et al.
Journal of Cleaner Production (2019) Vol. 218, pp. 850-870
Closed Access | Times Cited: 224
A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
Jianzhou Wang, Wendong Yang, Pei Du, et al.
Energy Conversion and Management (2018) Vol. 163, pp. 134-150
Closed Access | Times Cited: 206
Computational intelligence approach for modeling hydrogen production: a review
Sina Ardabili, Bahman Najafi, Shahaboddin Shamshirband, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 12, Iss. 1, pp. 438-458
Open Access | Times Cited: 200
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Sujan Ghimire, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aitazaz A. Farooque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 198
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 185
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Saeed Samadianfard, Sajjad Hashemi, Katayoun Kargar, et al.
Energy Reports (2020) Vol. 6, pp. 1147-1159
Open Access | Times Cited: 179
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 131
Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization
Thi Hoai Thu Nguyen, Quoc Bao Phan
Energy Reports (2022) Vol. 8, pp. 53-60
Open Access | Times Cited: 78
Near real-time wind speed forecast model with bidirectional LSTM networks
Lionel Joseph, Ravinesh C. Deo, Ramendra Prasad, et al.
Renewable Energy (2023) Vol. 204, pp. 39-58
Closed Access | Times Cited: 78
Deep learning versus gradient boosting machine for pan evaporation prediction
Anurag Malik, Mandeep Kaur Saggi, Sufia Rehman, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 570-587
Open Access | Times Cited: 77
Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
Mohammad Ali Ghorbani, Ravinesh C. Deo, Vahid Karimi, et al.
Stochastic Environmental Research and Risk Assessment (2017) Vol. 32, Iss. 6, pp. 1683-1697
Closed Access | Times Cited: 123
A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
Babak Jahani, Babak Mohammadi
Theoretical and Applied Climatology (2018) Vol. 137, Iss. 1-2, pp. 1257-1269
Closed Access | Times Cited: 122
Estimating Daily Dew Point Temperature Using Machine Learning Algorithms
Sultan Noman Qasem, Saeed Samadianfard, Hamed Sadri Nahand, et al.
Water (2019) Vol. 11, Iss. 3, pp. 582-582
Open Access | Times Cited: 122
A hybrid support vector regression–firefly model for monthly rainfall forecasting
Ali Danandeh Mehr, Vahid Nourani, Vahid Karimi, et al.
International Journal of Environmental Science and Technology (2018) Vol. 16, Iss. 1, pp. 335-346
Open Access | Times Cited: 120
Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA
Pouya Aghelpour, Babak Mohammadi, Seyed Mostafa Biazar
Theoretical and Applied Climatology (2019) Vol. 138, Iss. 3-4, pp. 1471-1480
Closed Access | Times Cited: 120
Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations
Yuanzhou Zheng, Mostafa Safdari Shadloo, Hossein Nasiri, et al.
Renewable Energy (2020) Vol. 153, pp. 1296-1306
Closed Access | Times Cited: 110
A review of applications of artificial intelligent algorithms in wind farms
Yirui Wang, Yang Yu, Shuyang Cao, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 5, pp. 3447-3500
Closed Access | Times Cited: 106
Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, Nawin Raj, et al.
Renewable and Sustainable Energy Reviews (2019) Vol. 113, pp. 109247-109247
Closed Access | Times Cited: 88
Extreme learning machine-based prediction of daily water temperature for rivers
Senlin Zhu, Salim Heddam, Shiqiang Wu, et al.
Environmental Earth Sciences (2019) Vol. 78, Iss. 6
Closed Access | Times Cited: 85
Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms
Sujay Raghavendra Naganna, Paresh Chandra Deka, Mohammad Ali Ghorbani, et al.
Water (2019) Vol. 11, Iss. 4, pp. 742-742
Open Access | Times Cited: 85
A high-accuracy hybrid method for short-term wind power forecasting
Sahra Khazaei, Mehdi Ehsan, Soodabeh Soleymani, et al.
Energy (2021) Vol. 238, pp. 122020-122020
Closed Access | Times Cited: 71
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