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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:

Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning
Jiajun He, Chuanjin Yu, Yongle Li, et al.
Energy Conversion and Management (2019) Vol. 205, pp. 112418-112418
Closed Access | Times Cited: 104

Showing 26-50 of 104 citing articles:

Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization
Zhihao Shang, Zhaoshuang He, Yao Chen, et al.
Energy (2021) Vol. 238, pp. 122024-122024
Closed Access | Times Cited: 53
Data-augmented sequential deep learning for wind power forecasting
Hao Chen, Yngve Birkelund, Qixia Zhang
Energy Conversion and Management (2021) Vol. 248, pp. 114790-114790
Open Access | Times Cited: 49
A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network
Anbo Meng, Shu Chen, Zuhong Ou, et al.
Energy (2022) Vol. 261, pp. 125276-125276
Closed Access | Times Cited: 35
The data-based adaptive graph learning network for analysis and prediction of offshore wind speed
Yuting Ren, Zhuolin Li, Lingyu Xu, et al.
Energy (2023) Vol. 267, pp. 126590-126590
Closed Access | Times Cited: 22
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
Ziheng Gao, Zhuolin Li, Lingyu Xu, et al.
Applied Soft Computing (2023) Vol. 141, pp. 110294-110294
Closed Access | Times Cited: 18
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: 6
Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm
Said Abenna, Mohammed Nahid, Abderrahim Bajit
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103102-103102
Closed Access | Times Cited: 34
Forecasting carbon price in the European carbon market: The role of structural changes
Boqiang Lin, Chongchong Zhang
Process Safety and Environmental Protection (2022) Vol. 166, pp. 341-354
Closed Access | Times Cited: 26
Short-term prediction of wind power based on BiLSTM–CNN–WGAN-GP
Ling Huang, Linxia Li, Xiaoyuan Wei, et al.
Soft Computing (2022) Vol. 26, Iss. 20, pp. 10607-10621
Open Access | Times Cited: 25
Optimal wind energy generation considering climatic variables by Deep Belief network (DBN) model based on modified coot optimization algorithm (MCOA)
Hongyan Wang, Bin Chen, Dong Pan, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102744-102744
Closed Access | Times Cited: 23
Ultrahigh-porosity Ranunculus-like MgO adsorbent coupled with predictive deep belief networks: A transformative method for phosphorus treatment
Đức Anh Nguyễn, Viet Bac Nguyen, Am Jang
Water Research (2023) Vol. 249, pp. 120930-120930
Closed Access | Times Cited: 13
Multi-Step Prediction of Wind Power Based on Hybrid Model with Improved Variational Mode Decomposition and Sequence-to-Sequence Network
Wangwang Bai, Mengxue Jin, Wanwei Li, et al.
Processes (2024) Vol. 12, Iss. 1, pp. 191-191
Open Access | Times Cited: 5
A hybrid PV cluster power prediction model using BLS with GMCC and error correction via RVM considering an improved statistical upscaling technique
Lihong Qiu, Wentao Ma, Xiaoyang Feng, et al.
Applied Energy (2024) Vol. 359, pp. 122719-122719
Closed Access | Times Cited: 5
Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
Shahab S. Band, Sina Ardabili, Amir Mosavi, et al.
Energy Reports (2021) Vol. 8, pp. 638-648
Open Access | Times Cited: 31
A wind hazard warning system for safe and efficient operation of high-speed trains
Hongye Gou, Xuanying Chen, Yi Bao
Automation in Construction (2021) Vol. 132, pp. 103952-103952
Closed Access | Times Cited: 27
Adaptive forecasting of wind power based on selective ensemble of offline global and online local learning
Huaiping Jin, Yu Li, Bin Wang, et al.
Energy Conversion and Management (2022) Vol. 271, pp. 116296-116296
Closed Access | Times Cited: 21
Multi-step ahead wind speed prediction based on a two-step decomposition technique and prediction model parameter optimization
He Wang, Min Xiong, Hongfeng Chen, et al.
Energy Reports (2022) Vol. 8, pp. 6086-6100
Open Access | Times Cited: 20
Interpretable boosting tree ensemble method for multisource building fire loss prediction
Ning Wang, Yan Xu, Sutong Wang
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108587-108587
Closed Access | Times Cited: 20
Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12
An Adaptive, Data-Driven Stacking Ensemble Learning Framework for the Short-Term Forecasting of Renewable Energy Generation
Huang Hui, Qiliang Zhu, Xueling Zhu, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1963-1963
Open Access | Times Cited: 11
Effects of spatiotemporal correlations in wind data on neural network-based wind predictions
Heesoo Shin, Mario Rüttgers, Sang-Seung Lee
Energy (2023) Vol. 279, pp. 128068-128068
Open Access | Times Cited: 11
Multi-Step Short-Term Wind Power Prediction Model Based on CEEMD and Improved Snake Optimization Algorithm
Mengling Zhao, Xuan Zhou
IEEE Access (2024) Vol. 12, pp. 50755-50778
Open Access | Times Cited: 4
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: 4
High-Precision machining energy consumption prediction based on multi-sensor data fusion and Ns-Transformer network
Meihang Zhang, Hua Zhang, Wei Yan, et al.
Expert Systems with Applications (2025), pp. 126903-126903
Closed Access
Short-Term Wind Power Prediction and Optimisation Method Under Sandstorm Weather
Guo wenkai, Wang Guo
(2025)
Closed Access

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