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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:

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting
Mahdi Khodayar, Okyay Kaynak, Mohammad E. Khodayar
IEEE Transactions on Industrial Informatics (2017) Vol. 13, Iss. 6, pp. 2770-2779
Closed Access | Times Cited: 318

Showing 1-25 of 318 citing articles:

A review of deep learning for renewable energy forecasting
Huaizhi Wang, Zhenxing Lei, Xian Zhang, et al.
Energy Conversion and Management (2019) Vol. 198, pp. 111799-111799
Closed Access | Times Cited: 867
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
Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting
Mahdi Khodayar, Jianhui Wang
IEEE Transactions on Sustainable Energy (2018) Vol. 10, Iss. 2, pp. 670-681
Closed Access | Times Cited: 376
Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
Jie Chen, Guo‐Qiang Zeng, Wuneng Zhou, et al.
Energy Conversion and Management (2018) Vol. 165, pp. 681-695
Closed Access | Times Cited: 365
Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning
Chaoqun Hong, Jun Yu, Jian Zhang, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 15, Iss. 7, pp. 3952-3961
Open Access | Times Cited: 291
Big data analytics in smart grids: a review
Yang Zhang, Tao Huang, Ettore Bompard
Energy Informatics (2018) Vol. 1, Iss. 1
Open Access | Times Cited: 289
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Ya-Lan Hu, Liang Chen
Energy Conversion and Management (2018) Vol. 173, pp. 123-142
Closed Access | Times Cited: 284
Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications
Dhivya Elavarasan, P. M. Durai Raj Vincent
IEEE Access (2020) Vol. 8, pp. 86886-86901
Open Access | Times Cited: 283
Deep learning models for solar irradiance forecasting: A comprehensive review
Pratima Kumari, Durga Toshniwal
Journal of Cleaner Production (2021) Vol. 318, pp. 128566-128566
Closed Access | Times Cited: 269
Wind power forecasting using attention-based gated recurrent unit network
Zhewen Niu, Zeyuan Yu, Wenhu Tang, et al.
Energy (2020) Vol. 196, pp. 117081-117081
Closed Access | Times Cited: 253
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: 252
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders
Aniekan Essien, Cinzia Giannetti
IEEE Transactions on Industrial Informatics (2020) Vol. 16, Iss. 9, pp. 6069-6078
Open Access | Times Cited: 235
Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model
Chaoshun Li, Geng Tang, Xiaoming Xue, et al.
IEEE Transactions on Sustainable Energy (2019) Vol. 11, Iss. 3, pp. 1370-1380
Closed Access | Times Cited: 225
A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM
Min-Rong Chen, Guo‐Qiang Zeng, Kang‐Di Lu, et al.
IEEE Internet of Things Journal (2019) Vol. 6, Iss. 4, pp. 6997-7010
Closed Access | Times Cited: 218
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 204
A Knowledge-Based Recommendation System That Includes Sentiment Analysis and Deep Learning
Renata Lopes Rosa, Gisele Maria Schwartz, Wilson Vicente Ruggiero, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 15, Iss. 4, pp. 2124-2135
Closed Access | Times Cited: 185
Deep learning methods and applications for electrical power systems: A comprehensive review
Asiye Kaymaz Özcanlı, Fatma Yaprakdal, Mustafa Baysal
International Journal of Energy Research (2020) Vol. 44, Iss. 9, pp. 7136-7157
Open Access | Times Cited: 179
A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 176
Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy
Ke Yan, Xudong Wang, Yang Du, et al.
Energies (2018) Vol. 11, Iss. 11, pp. 3089-3089
Open Access | Times Cited: 173
Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction
Qiaomu Zhu, Jinfu Chen, Dongyuan Shi, et al.
IEEE Transactions on Sustainable Energy (2019) Vol. 11, Iss. 1, pp. 509-523
Open Access | Times Cited: 173
Interval Deep Generative Neural Network for Wind Speed Forecasting
Mahdi Khodayar, Jianhui Wang, Mohammad Manthouri
IEEE Transactions on Smart Grid (2018) Vol. 10, Iss. 4, pp. 3974-3989
Closed Access | Times Cited: 168
Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach
Yang Li, Ruinong Wang, Yuanzheng Li, et al.
Applied Energy (2022) Vol. 329, pp. 120291-120291
Open Access | Times Cited: 158
Charging demand of Plug-in Electric Vehicles: Forecasting travel behavior based on a novel Rough Artificial Neural Network approach
Hamidreza Jahangir, Hanif Tayarani, Ali Ahmadian, et al.
Journal of Cleaner Production (2019) Vol. 229, pp. 1029-1044
Open Access | Times Cited: 154
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 133
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