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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:

Prediction of Photovoltaic Power by the Informer Model Based on Convolutional Neural Network
Ze Wu, Feifan Pan, Dandan Li, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13022-13022
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer model
Yisheng Cao, Gang Liu, Dong–Hua Luo, et al.
Energy (2023) Vol. 283, pp. 128669-128669
Closed Access | Times Cited: 71
Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE
Shuhui Cui, Shouping Lyu, Yongzhi Ma, et al.
Energy (2024) Vol. 307, pp. 132766-132766
Closed Access | Times Cited: 47
A novel method based on time series ensemble model for hourly photovoltaic power prediction
Zenan Xiao, Xiaoqiao Huang, Jun Liu, et al.
Energy (2023) Vol. 276, pp. 127542-127542
Closed Access | Times Cited: 44
Short-term photovoltaic power intelligent forecasting based on XGBoost-GRU-Informer-SVR model
Xiaomin Xu, Lin Guan, Zhiyi Wang, et al.
Applied Soft Computing (2025), pp. 112768-112768
Closed Access | Times Cited: 1
A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power
Ruoyang Zhang, Yu Wu, Lei Zhang, et al.
Energy (2025), pp. 134792-134792
Closed Access | Times Cited: 1
Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer
Xiang Liu, Qingyu Liu, Shuai Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Photovoltaic Power Prediction Based on Hybrid Deep Learning Networks and Meteorological Data
Wei Guo, Li Xu, Tian Wang, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1593-1593
Open Access | Times Cited: 8
Enhanced Solar Power Prediction Models With Integrating Meteorological Data Toward Sustainable Energy Forecasting
Mohammed A. Atiea, Abdullah M. Shaheen, Abdullah Alassaf, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 7
Two-Stage Neural Network Optimization for Robust Solar Photovoltaic Forecasting
Jinyeong Oh, Dayeong So, Jaehyeok Jo, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1659-1659
Open Access | Times Cited: 6
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: 11
A hydrogen concentration evolution prediction method for hydrogen refueling station leakage based on the Informer model
Qiulan Wu, Yubo Bi, Jihao Shi, et al.
International Journal of Hydrogen Energy (2025)
Closed Access
WNPS-LSTM-Informer: A Hybrid Stacking model for medium-term photovoltaic power forecasting with ranked feature selection
Yifan Li, Gang Liu, Yisheng Cao, et al.
Renewable Energy (2025), pp. 122687-122687
Closed Access
AI-enhanced cancer radiotherapy quality assessment: utilizing daily linac performance, radiomics, dosimetrics, and planning complexity
Jia Deng, Yaolin Zhao, Dorothy Jane Huang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Precision Prediction Strategy for Renewable Energy Power in Power Systems—A Physical-Knowledge Integrated Model
Shuaichuang Hua, Shuanglong Jin, Zongpeng Song, et al.
Processes (2025) Vol. 13, Iss. 4, pp. 1049-1049
Open Access
Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning
Wenxiang Luo, Yang Shen, Zewen Li, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1796-1796
Open Access
Fusing multi-sensor data for bag filter system risk early warning based on deep learning
Yuexian Hou, Qiang Wang, Yamin Lin, et al.
Process Safety and Environmental Protection (2025), pp. 107096-107096
Closed Access
Photovoltaic Power Generation Forecasting With Bayesian Optimization and Stacked Ensemble Learning
Mohamed A. Atiea, Abdelrhman A. Abdelghaffar, Houssem Ben Aribia, et al.
Results in Engineering (2025), pp. 104950-104950
Open Access
Develop a Multiscale Settlement Prediction Framework Using Deep Learning for Adjustable Pile‐Supported Wind Turbine Foundation Settlement
Zhonghua Liu, Huanwei Wei, Lian-Chun Li, et al.
The Structural Design of Tall and Special Buildings (2025) Vol. 34, Iss. 6
Closed Access
Improved Informer Pv Power Short-Term Prediction Model Based on Weather Typing and Aha-Vmd-Mpe
Shuhui Cui, Kai Wang
(2024)
Closed Access | Times Cited: 3
MGMI: A novel deep learning model based on short-term thermal load prediction
T.A.N. Quanwei, Guijun Xue, X.I.E. Wenju
Applied Energy (2024) Vol. 376, pp. 124209-124209
Closed Access | Times Cited: 3
Wind power prediction based on periodic characteristic decomposition and multi-layer attention network
Xuechao Liao, Zhenxing Liu, Xiujuan Zheng, et al.
Neurocomputing (2023) Vol. 534, pp. 119-132
Closed Access | Times Cited: 7
Short‐term prediction of behind‐the‐meter PV power based on attention‐LSTM and transfer learning
Jinjiang Zhang, L. Jeff Hong, Shamsuddeen Nyako Ibrahim, et al.
IET Renewable Power Generation (2023) Vol. 18, Iss. 3, pp. 321-330
Open Access | Times Cited: 7
Study on Real-Time Water Demand Prediction of Winter Wheat–Summer Corn Based on Convolutional Neural Network–Informer Combined Modeling
Jianqin Ma, Yijian Chen, Xiuping Hao, et al.
Sustainability (2024) Vol. 16, Iss. 9, pp. 3699-3699
Open Access | Times Cited: 2
Investigating the Effects of Full-Spectrum LED Lighting on Strawberry Traits Using Correlation Analysis and Time-Series Prediction
Yuze Lu, Mali Gong, Jing Li, et al.
Plants (2024) Vol. 13, Iss. 2, pp. 149-149
Open Access | Times Cited: 1
Enhanced Forecasting Accuracy of a Grid-Connected Photovoltaic Power Plant: A Novel Approach Using Hybrid Variational Mode Decomposition and a CNN-LSTM Model
Lakhdar Nadjib Boucetta, Youssouf Amrane, Aissa Chouder, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1781-1781
Open Access | Times Cited: 1
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