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:

A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
Jianing Wang, Hongqiu Zhu, Fei Cheng, et al.
Journal of Cleaner Production (2023) Vol. 420, pp. 138386-138386
Closed Access | Times Cited: 25

Showing 25 citing articles:

Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20

Short-term Interval Prediction Strategy of Photovoltaic Power Based on Meteorological Reconstruction with Spatiotemporal Correlation and Multi-factor Interval Constraints
Mao Yang, Yue Jiang, Wei Zhang, et al.
Renewable Energy (2024) Vol. 237, pp. 121834-121834
Closed Access | Times Cited: 18

A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data
Zhaohua Liu, Chang-Tong Wang, Hua‐Liang Wei, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123237-123237
Closed Access | Times Cited: 16

A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information
Mao Yang, Chao Han, Wei Zhang, et al.
Energy (2024) Vol. 294, pp. 130770-130770
Closed Access | Times Cited: 15

Research on the short-term wind power prediction with dual branch multi-source fusion strategy
Ling Tan, Yihe Chen, Jingming Xia, et al.
Energy (2024) Vol. 291, pp. 130402-130402
Closed Access | Times Cited: 6

Low-carbon planning for integrated power-gas-hydrogen system with Wasserstein-distance based scenario generation method
Ziyi Wen, Xian Zhang, Andi Wang, et al.
Energy (2025), pp. 134388-134388
Closed Access

A two-layer full data-driven model for state of health estimation of lithium-ion batteries based on MKRVM-ELM hybrid algorithm with ant-lion optimization
Shilin Liu, Chao Sun, Bo Sun, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115716-115716
Closed Access

A novel spatio-temporal wind speed forecasting method based on the microscale meteorological model and a hybrid deep learning model
Dongqin Zhang, Gang Hu, Jie Song, et al.
Energy (2023) Vol. 288, pp. 129823-129823
Closed Access | Times Cited: 11

A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model
Guanying Chen, Zhenming Ji
Sustainability (2024) Vol. 16, Iss. 8, pp. 3339-3339
Open Access | Times Cited: 3

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

WindFix: Harnessing the power of self-supervised learning for versatile imputation of offshore wind speed time series
Yaoran Chen, Candong Cai, Leilei Cao, et al.
Energy (2023) Vol. 287, pp. 128995-128995
Closed Access | Times Cited: 6

A novel wind model downscaling with statistical regression and forecast for the cleaner energy
Hao Chen
Journal of Cleaner Production (2023) Vol. 434, pp. 140217-140217
Open Access | Times Cited: 6

ForecastNet Wind Power Prediction Based on Spatio-Temporal Distribution
Shurong Peng, Lijuan Guo, Haoyu Huang, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 937-937
Open Access | Times Cited: 1

State of Health Prediction of Lithium-Ion Batteries Based on Multi-Kernel Relevance Vector Machine and Error Compensation
Li Zhang, Chao Sun, Shilin Liu
World Electric Vehicle Journal (2024) Vol. 15, Iss. 6, pp. 248-248
Open Access | Times Cited: 1

DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination
Sibo Xia, Hongqiu Zhu, Ning Zhang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124488-124488
Closed Access | Times Cited: 1

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Yang Yang, Hao Lou, Zijin Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 8745-8760
Open Access | Times Cited: 1

Short-Term Offshore Wind Power Prediction based on VMD-SE-BP Neural Network Model
Hui Qin, Lijuan Huang, Kui Li, et al.
(2024), pp. 1476-1481
Closed Access | Times Cited: 1

A multi-algorithm fusion model for predicting automotive fuel cell system demand power
Donghai Hu, Angang Chen, Dagang Lu, et al.
Journal of Cleaner Production (2024) Vol. 466, pp. 142848-142848
Closed Access | Times Cited: 1

Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
Measurement (2024) Vol. 244, pp. 116500-116500
Closed Access | Times Cited: 1

Deep Learning Wind Power Prediction Model Based on Attention Mechanism-Based Convolutional Neural Network and Gated Recurrent Unit Neural Network
Zaihong Hou, Yulong Bai, Lin Ding, et al.
Journal of Circuits Systems and Computers (2024) Vol. 33, Iss. 16
Closed Access

A fitting method of unlabeled interference for spectra based on multi-stage cross optimization
Qilong Wan, Hongqiu Zhu, Chunhua Yang, et al.
Measurement (2024) Vol. 242, pp. 115900-115900
Closed Access

Hybridized gated recurrent unit with variational mode decomposition and an error compensation mechanism for multi-step-ahead monthly rainfall forecasting
Deyun Wang, Yifei Ren, Yanchen Yang, et al.
Environmental Science and Pollution Research (2023)
Closed Access | Times Cited: 1

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