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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-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention
Shivam Kumar, Jong-Chyuan Tzou, Shang-Chen Wu
Energies (2020) Vol. 13, Iss. 7, pp. 1772-1772
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history
Yaoran Chen, Zhikun Dong, Yan Wang, et al.
Energy Conversion and Management (2020) Vol. 227, pp. 113559-113559
Closed Access | Times Cited: 142
A comprehensive review on deep learning approaches in wind forecasting applications
Zhou Wu, Gan Luo, Zhile Yang, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 2, pp. 129-143
Open Access | Times Cited: 93
Multistep short-term wind speed forecasting using transformer
Huijuan Wu, Keqilao Meng, Daoerji Fan, et al.
Energy (2022) Vol. 261, pp. 125231-125231
Open Access | Times Cited: 84
Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
Bala Saibabu Bommidi, Kiran Teeparthi, Vishalteja Kosana
Energy (2022) Vol. 265, pp. 126383-126383
Closed Access | Times Cited: 83
Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, et al.
Applied Energy (2022) Vol. 333, pp. 120565-120565
Open Access | Times Cited: 79
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 72
A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 40
A multi-step wind power group forecasting seq2seq architecture with spatial–temporal feature fusion and numerical weather prediction correction
Shiwei Xu, Yongjun Wang, Xinglei Xu, et al.
Energy (2024) Vol. 291, pp. 130352-130352
Closed Access | Times Cited: 14
A novel decomposition-ensemble prediction model for ultra-short-term wind speed
Zhongda Tian, Hao Chen
Energy Conversion and Management (2021) Vol. 248, pp. 114775-114775
Closed Access | Times Cited: 101
A multi-objective predictive energy management strategy for residential grid-connected PV-battery hybrid systems based on machine learning technique
Shivam Kumar, Jong-Chyuan Tzou, Shang-Chen Wu
Energy Conversion and Management (2021) Vol. 237, pp. 114103-114103
Closed Access | Times Cited: 98
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
Joyjit Chatterjee, Nina Dethlefs
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 111051-111051
Open Access | Times Cited: 86
Water Quality Prediction in the Luan River Based on 1-DRCNN and BiGRU Hybrid Neural Network Model
Jianzhuo Yan, Jiaxue Liu, Yongchuan Yu, et al.
Water (2021) Vol. 13, Iss. 9, pp. 1273-1273
Open Access | Times Cited: 55
Assessment of Offshore Wind Power Potential and Wind Energy Prediction Using Recurrent Neural Networks
Chih‐Chiang Wei, Cheng-Shu Chiang
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 2, pp. 283-283
Open Access | Times Cited: 7
Short-term prediction of the power of a new wind turbine based on IAO-LSTM
Zheng Li, Xiaorui Luo, Mengjie Liu, et al.
Energy Reports (2022) Vol. 8, pp. 9025-9037
Open Access | Times Cited: 33
An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction
Yongqing Li, Weimin Huang, Xinrong Lyu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102924-102924
Open Access | Times Cited: 31
Advancing sub-seasonal to seasonal multi-model ensemble precipitation prediction in East Asia: Deep learning-based post-processing for improved accuracy
Uran Chung, Jinyoung Rhee, Miae Kim, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35933-e35933
Open Access | Times Cited: 6
Multistep short‐term wind speed prediction with rank pooling and fast Fourier transformation
Hailong Shu, Weiwei Song, Zhen Song, et al.
Wind Energy (2024) Vol. 27, Iss. 7, pp. 667-694
Open Access | Times Cited: 3
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 2
Forecasting of Typhoon-Induced Wind-Wave by Using Convolutional Deep Learning on Fused Data of Remote Sensing and Ground Measurements
Chih‐Chiang Wei, Hao-Chun Chang
Sensors (2021) Vol. 21, Iss. 15, pp. 5234-5234
Open Access | Times Cited: 14
A Low-Cost System for Measuring Wind Speed and Direction Using Thermopile Array and Artificial Neural Network
Shang-Chen Wu, Jong-Chyuan Tzou, Cheng-Yu Ding
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4024-4024
Open Access | Times Cited: 9
Multi-Step Short-Term Wind Speed Prediction Models Based on Adaptive Robust Decomposition Coupled with Deep Gated Recurrent Unit
Kui Yang, Bo-Fu Wang, Xiang Qiu, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4221-4221
Open Access | Times Cited: 6
A Machine Learning-Based Method for Wind Fields Forecasting Utilizing GNSS Radio Occultation Data
Xuezhao Chu, Weihua Bai, Yueqiang Sun, et al.
IEEE Access (2022) Vol. 10, pp. 30258-30273
Open Access | Times Cited: 4
Data-driven applications for wind energy analysis and prediction: The case of “La Haute Borne” wind farm
Radmila Mandzhieva, Rimma Subhankulova
Digital Chemical Engineering (2022) Vol. 4, pp. 100048-100048
Open Access | Times Cited: 3
State-Of-The-Art Methods for Dynamic Texture Classification: A Comprehensive Review
Manal Benzyane, Mourade Azrour, Imad Zeroual, et al.
World sustainability series (2024), pp. 1-13
Closed Access
A deep learning approach for wind downscaling using spatially correlated global wind data
Didit Adytia, Arnida L. Latifah, Deni Saepudin, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
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