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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:

Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117574-117574
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Research on time-series based and similarity search based methods for PV power prediction
Meng Jiang, Kun Ding, Xiang Chen, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118391-118391
Closed Access | Times Cited: 9
Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies
Mauladdawilah Husein, Eulalia Jadraque Gago, Balfaqih Hasan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33419-e33419
Open Access | Times Cited: 8
Short-term PV-Wind forecasting of large-scale regional site clusters based on FCM clustering and hybrid Inception-ResNet embedded with Informer
Daogang Peng, Yu Liu, Danhao Wang, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118992-118992
Closed Access | Times Cited: 7
Quantile-transformed multi-attention residual framework (QT-MARF) for medium-term PV and wind power prediction
Adeel Feroz Mirza, Zhaokun Shu, Muhammad Usman, et al.
Renewable Energy (2023) Vol. 220, pp. 119604-119604
Closed Access | Times Cited: 18
Using Crested Porcupine Optimizer Algorithm and CNN-LSTM-Attention Model Combined with Deep Learning Methods to Enhance Short-Term Power Forecasting in PV Generation
Yiling Fan, Zhuang Ma, Wanwei Tang, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3435-3435
Open Access | Times Cited: 6
A short-term PV power forecasting method based on weather type credibility prediction and multi-model dynamic combination
Haonan Dai, Zhao Zhen, Fei Wang, et al.
Energy Conversion and Management (2025) Vol. 326, pp. 119501-119501
Closed Access
Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Energy Reports (2025) Vol. 13, pp. 2468-2481
Closed Access
A correction framework for day-ahead NWP solar irradiance forecast based on sparsely activated multivariate-shapelets information aggregation
Weijing Dou, Kai Wang, Shuo Shan, et al.
Renewable Energy (2025), pp. 122638-122638
Closed Access
Enhancing PV power forecasting accuracy through nonlinear weather correction based on multi-task learning
Zhirui Tian, Yujie Chen, Guangyu Wang
Applied Energy (2025) Vol. 386, pp. 125525-125525
Closed Access
A residual learning-based grey system model and its applications in Electricity Transformer’s Seasonal oil temperature forecasting
Yiwu Hao, Xin Ma, Lili Song, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110260-110260
Closed Access
FTLNet: federated deep learning model for multi-horizon wind power forecasting
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
CNN-based defect detection and classification of PV cells by infrared thermography method
Chiwu Bu, Runhong Shen, Weiliang Bai, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-18
Closed Access | Times Cited: 3
A mixed gas concentration regression prediction method based on RESHA-ALW
Jilong Wu, Wenlong Zhao, Fan Wu, et al.
Sensors and Actuators B Chemical (2024) Vol. 418, pp. 136222-136222
Closed Access | Times Cited: 2
Enhancing electric vehicle charging efficiency at the aggregator level: A deep-weighted ensemble model for wholesale electricity price forecasting
Shahid Hussain, Abhishek Prasad Teni, Ihtisham Hussain, et al.
Energy (2024) Vol. 308, pp. 132823-132823
Open Access | Times Cited: 2
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
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
Linfei Yin, Yujie Sun
Energy Conversion and Management (2024) Vol. 321, pp. 119094-119094
Closed Access | Times Cited: 2
Dual-stream Transformer-attention fusion network for short-term carbon price prediction
Han Wu, Pei Du
Energy (2024), pp. 133374-133374
Closed Access | Times Cited: 2
Dung beetle optimization algorithm-based hybrid deep learning model for ultra-short-term PV power prediction
Rui Quan, Zhizhuo Qiu, Hang Wan, et al.
iScience (2024) Vol. 27, Iss. 11, pp. 111126-111126
Closed Access | Times Cited: 2
A Refined Wind Power Forecasting Method with High Temporal Resolution Based on Light Convolutional Neural Network Architecture
Fei Zhang, Xiaoying Ren, Yongqian Liu
Energies (2024) Vol. 17, Iss. 5, pp. 1183-1183
Open Access | Times Cited: 1
Enhancing Medium-Term Electric Load Forecasting Accuracy Leveraging Swarm Intelligence and Neural Networks Optimization
Peter Anuoluwapo Gbadega, Yanxia Sun
(2024) Vol. 6, pp. 1-6
Closed Access | Times Cited: 1
Mobileception-ResNet for transient stability prediction of novel power systems
Linfei Yin, Wei Gao Ge
Energy (2024), pp. 133163-133163
Closed Access | Times Cited: 1
Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
Heng Shi, Lurui Fang, Xiaoyang Chen, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 1
Multi 2D-CNN-based model for short-term PV power forecast embedded with Laplacian Attention
Tuyen Nguyen‐Duc, Hieu Do-Dinh, Goro Fujita, et al.
Energy Reports (2024) Vol. 12, pp. 2086-2096
Open Access | Times Cited: 1
Neural Networks-based Image Denoising Methods
Mengke Wang
(2023)
Open Access | Times Cited: 2
Applying green learning to regional wind power prediction and fluctuation risk assessment
Hao-Hsuan Huang, Yun-Hsun Huang
Energy (2024) Vol. 295, pp. 131057-131057
Closed Access
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