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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:

Short-term multi-hour ahead country-wide wind power prediction for Germany using gated recurrent unit deep learning
Farah Shahid, Wood David A., Nisar Humaira, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 167, pp. 112700-112700
Closed Access | Times Cited: 78

Showing 26-50 of 78 citing articles:

Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors
P. Piotrowski, Inajara Rutyna, D. Baczyński, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9657-9657
Open Access | Times Cited: 23
A new distributed decomposition–reconstruction–ensemble learning paradigm for short-term wind power prediction
Xixuan Zhao, Bingzhen Sun, Ruibin Geng
Journal of Cleaner Production (2023) Vol. 423, pp. 138676-138676
Closed Access | Times Cited: 12
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 4
Wind speed prediction in China with fully-convolutional deep neural network
Zongwei Zhang, Lianlei Lin, Sheng Gao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 201, pp. 114623-114623
Closed Access | Times Cited: 4
Knacks of a hybrid anomaly detection model using deep auto-encoder driven gated recurrent unit
Earum Mushtaq, Aneela Zameer, Rubina Nasir
Computer Networks (2023) Vol. 226, pp. 109681-109681
Closed Access | Times Cited: 11
Deep Belief Network with Swarm Spider Optimization Method for Renewable Energy Power Forecasting
Yuan Wei, Huanchang Zhang, Jiahui Dai, et al.
Processes (2023) Vol. 11, Iss. 4, pp. 1001-1001
Open Access | Times Cited: 10
Recent advances in data-driven prediction for wind power
Yaxin Liu, Yunjing Wang, Qingtian Wang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 10
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation
Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 5, pp. 1803-1830
Closed Access | Times Cited: 3
Short-term wind power prediction method based on multivariate signal decomposition and RIME optimization algorithm
Y. Wang, Lili Pei, Wei Li, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125376-125376
Closed Access | Times Cited: 3
Optimizing deep neural network architectures for renewable energy forecasting
Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
1D Convolutional LSTM-based wind power prediction integrated with PkNN data imputation technique
Farah Shahid, Atif Mehmood, Rizwan Khan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101816-101816
Open Access | Times Cited: 9
Day-ahead wind power prediction using an ensemble model considering multiple indicators combined with error correction
Siyi Zhang, Mingbo Liu, Mingde Liu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110873-110873
Closed Access | Times Cited: 8
Short-term wind power forecasting based on dual attention mechanism and gated recurrent unit neural network
Xu Wu, Yang Liu, Xinhao Fan, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 2
Low Tropospheric Wind Forecasts in Aviation: The Potential of Deep Learning for Terminal Aerodrome Forecast Bulletins
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, et al.
Pure and Applied Geophysics (2024) Vol. 181, Iss. 7, pp. 2265-2276
Open Access | Times Cited: 2
Research and application of a novel weight-based evolutionary ensemble model using principal component analysis for wind power prediction
Chu Zhang, Zihan Tao, Jinlin Xiong, et al.
Renewable Energy (2024) Vol. 232, pp. 121085-121085
Closed Access | Times Cited: 2
Hybrid model for robust and accurate forecasting building electricity demand combining physical and data-driven methods
Xianzhou Dong, W. Guo, Cheng Zhou, et al.
Energy (2024), pp. 133309-133309
Closed Access | Times Cited: 2
Interval Forecasting Method of Aggregate Output for Multiple Wind Farms Using LSTM Networks and Time-Varying Regular Vine Copulas
Yanwen Wang, Yanying Sun, Yalong Li, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1530-1530
Open Access | Times Cited: 7
Chaotic time series wind power interval prediction based on quadratic decomposition and intelligent optimization algorithm
Chunyu Ai, Shan He, Heng Hu, et al.
Chaos Solitons & Fractals (2023) Vol. 177, pp. 114222-114222
Closed Access | Times Cited: 7
Enhanced abnormal data detection hybrid strategy based on heuristic and stochastic approaches for efficient patients rehabilitation
Murad Ali Khan, Naeem Iqbal, Harun Jamil, et al.
Future Generation Computer Systems (2023) Vol. 154, pp. 101-122
Closed Access | Times Cited: 7
A bilateral branch learning paradigm for short term wind power prediction with data of multiple sampling resolutions
Hong Liu, Zijun Zhang
Journal of Cleaner Production (2022) Vol. 380, pp. 134977-134977
Closed Access | Times Cited: 11
Deep Learning for Modeling an Offshore Hybrid Wind–Wave Energy System
Mahsa Dehghan Manshadi, Milad Mousavi, M. Soltani, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9484-9484
Open Access | Times Cited: 11
A new deep recurrent hybrid artificial neural network of gated recurrent units and simple seasonal exponential smoothing
Emine Kolemen, Erol Eğrioğlu, Eren Baş, et al.
Granular Computing (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 6
A novel ultra-short-term wind power prediction method based on XA mechanism
Cheng Peng, Yiqin Zhang, Bowen Zhang, et al.
Applied Energy (2023) Vol. 351, pp. 121905-121905
Closed Access | Times Cited: 5
Vehicle side-slip angle estimation under snowy conditions using machine learning
Georg Novotny, Yuzhou Liu, Walter Morales-Alvarez, et al.
Integrated Computer-Aided Engineering (2024) Vol. 31, Iss. 2, pp. 117-137
Open Access | Times Cited: 1
State Reliability of Wind Turbines Based on XGBoost–LSTM and Their Application in Northeast China
Liming Gou, Jian Zhang, Wen Lihao, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4099-4099
Open Access | Times Cited: 1

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