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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 power prediction method combining financial technology feature engineering and XGBoost algorithm
Shijie Guan, Yongsheng Wang, Limin Liu, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16938-e16938
Open Access | Times Cited: 20

Showing 20 citing articles:

High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 42
Research on prediction of PPV in open-pit mine used RUN-XGBoost model
Mingzhi Sun, Jiamian Yang, Chengye Yang, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28246-e28246
Open Access | Times Cited: 10
Power prediction considering NWP wind speed error tolerability: A strategy to improve the accuracy of short-term wind power prediction under wind speed offset scenarios
Mao Yang, Yunfeng Guo, Tao Huang, et al.
Applied Energy (2024) Vol. 377, pp. 124720-124720
Closed Access | Times Cited: 9
Multifactor interpretability method for offshore wind power output prediction based on TPE-CatBoost-SHAP
Jia-Ling Ruan, Yun Chen, Gang Lu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110081-110081
Closed Access | Times Cited: 1
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Wind power prediction with accurate identification of ramp events based on Interval-SMOTE oversampling and ensemble learning
Ying Han, Xuemeng Wang, Kun Li
Wind Engineering (2025)
Closed Access
RÜZGÂR GÜCÜ TAHMİNİNDE UZUN KISA-SÜRELİ BELLEK: VERİ ÖRNEKLEME VE KÜMELEMENİN ETKİSİ
Volkan Yamaçlı
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi (2025) Vol. 28, Iss. 1, pp. 202-215
Open Access
A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms
Bo Wang, Shu Wang, Zheng Wang, et al.
AIP Advances (2025) Vol. 15, Iss. 4
Open Access
Technical indicator enhanced ultra‐short‐term wind power forecasting based on long short‐term memory network combined XGBoost algorithm
Yingying Zheng, Shijie Guan, Kailei Guo, et al.
IET Renewable Power Generation (2024)
Open Access | Times Cited: 2
Research on prediction of PPV in open pit mine used on intelligent hybrid model of extreme gradient boosting
Zhongyuan Gu, Xin Xiong, Chengye Yang, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123248-123248
Closed Access | Times Cited: 2
Multi-node wind speed forecasting based on a novel dynamic spatial–temporal graph network
Long Ma, Ling Huang, Huifeng Shi
Energy (2023) Vol. 285, pp. 129536-129536
Closed Access | Times Cited: 5
Multi-temporal Scale Wind Power Forecasting Based on Lasso-CNN-LSTM-LightGBM
Qingzhong Gao
EAI Endorsed Transactions on Energy Web (2024) Vol. 11
Open Access | Times Cited: 1
Adaptive expert fusion model for online wind power prediction
Renfang Wang, Jingtong Wu, Xu Cheng, et al.
Neural Networks (2024) Vol. 184, pp. 107022-107022
Open Access | Times Cited: 1
Air Quality Index Prediction through TimeGAN Data Recovery and PSO-Optimized VMD-Deep Learning Framework
Kenan Wang, Tianning Yang, Shanshan Kong, et al.
Applied Soft Computing (2024), pp. 112626-112626
Closed Access | Times Cited: 1
A Comprehensive Approach to Wind Power Forecasting Using Advanced Hybrid Neural Networks
E. P. Vishnutheerth, Vivek Vijay, Rahul Satheesh, et al.
IEEE Access (2024) Vol. 12, pp. 124790-124800
Open Access
A novel prediction method for low wind output processes under very few samples based on improved W‐DCGAN
Shihua Liu, Han Wang, Weiye Song, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 14, pp. 2294-2304
Open Access
Short-Term Wind Power Prediction Using Mutual Information and Two-Layer Long Short-Term Memory Networks
Dan Luo, Ruobing Zhang, Bingbing Jiang
2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE) (2024), pp. 1004-1007
Closed Access
Optimal Economic Analysis of Battery Energy Storage System Integrated with Electric Vehicles for Voltage Regulation in Photovoltaics Connected Distribution System
Qingyuan Yan, Zhaoyi Wang, Ling Xing, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8497-8497
Open Access
Future directions of computer vision and AI for renewable energy: trends and challenges in renewable energy research and applications
Humaira Hamid, Sandeep Samantaray
Elsevier eBooks (2024), pp. 335-361
Closed Access
A Generative Ai-Based Deep Learning Model for Air Quality Index Prediction
Kenan Wang, Tianning Yang, Shanshan Kong, et al.
(2023)
Closed Access
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