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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:

A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid
Ghulam Hafeez, Imran Khan, Sadaqat Jan, et al.
Applied Energy (2021) Vol. 299, pp. 117178-117178
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Load Forecasting Techniques and Their Applications in Smart Grids
Hany Habbak, Mohamed Mahmoud, Khaled Metwally, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1480-1480
Open Access | Times Cited: 92
Cas-VSwin transformer: A variant swin transformer for surface-defect detection
Linfeng Gao, Jianxun Zhang, Changhui Yang, et al.
Computers in Industry (2022) Vol. 140, pp. 103689-103689
Closed Access | Times Cited: 89
Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review
Fanidhar Dewangan, Almoataz Y. Abdelaziz, Monalisa Biswal
Energies (2023) Vol. 16, Iss. 3, pp. 1404-1404
Open Access | Times Cited: 71
IntelliSense technology in the new power systems
Haonan Xie, Meihui Jiang, Dongdong Zhang, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 177, pp. 113229-113229
Open Access | Times Cited: 40
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng, et al.
Energy (2021) Vol. 239, pp. 122245-122245
Open Access | Times Cited: 75
Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction
Yeming Dai, Qiong Zhou, Mingming Leng, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109632-109632
Closed Access | Times Cited: 64
Multi-node load forecasting based on multi-task learning with modal feature extraction
Mao Tan, Chenglin Hu, Jie Chen, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104856-104856
Closed Access | Times Cited: 50
A prediction approach with mode decomposition-recombination technique for short-term load forecasting
Weimin Yue, Qingrong Liu, Yingjun Ruan, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104034-104034
Closed Access | Times Cited: 44
A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique
Amjad Alsirhani, Mohammed Mujib Alshahrani, Abdulwahab Abukwaik, et al.
Alexandria Engineering Journal (2023) Vol. 74, pp. 495-508
Open Access | Times Cited: 35
Enhancing smart grid load forecasting: An attention-based deep learning model integrated with federated learning and XAI for security and interpretability
Md Al Amin Sarker, Bharanidharan Shanmugam, Sami Azam, et al.
Intelligent Systems with Applications (2024) Vol. 23, pp. 200422-200422
Open Access | Times Cited: 8
An effective dimensionality reduction approach for short-term load forecasting
Yang Yang, Zijin Wang, Yuchao Gao, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108150-108150
Closed Access | Times Cited: 36
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization
Jianzhou Wang, Lifang Zhang, Zhenkun Liu, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117201-117201
Closed Access | Times Cited: 32
Electric load prediction based on a novel combined interval forecasting system
Jianzhou Wang, Jialu Gao, Danxiang Wei
Applied Energy (2022) Vol. 322, pp. 119420-119420
Closed Access | Times Cited: 29
Pulse-diagnosis-inspired multi-feature extraction deep network for short-term electricity load forecasting
Han Wu, Yan Liang, Jiani Heng
Applied Energy (2023) Vol. 339, pp. 120995-120995
Closed Access | Times Cited: 21
Deeppipe: Theory-guided prediction method based automatic machine learning for maximum pitting corrosion depth of oil and gas pipeline
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Chemical Engineering Science (2023) Vol. 278, pp. 118927-118927
Closed Access | Times Cited: 19
Intrusion Detection Method Based on CNN–GRU–FL in a Smart Grid Environment
Feng Zhai, Ting Yang, Hao Chen, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1164-1164
Open Access | Times Cited: 18
Clustering and dynamic recognition based auto-reservoir neural network: A wait-and-see approach for short-term park power load forecasting
Jing‐yao Liu, Jiajia Chen, Guijin Yan, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107456-107456
Open Access | Times Cited: 18
A Multitask Integrated Deep-Learning Probabilistic Prediction for Load Forecasting
Jianzhou Wang, Kang Wang, Zhiwu Li, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 1240-1250
Closed Access | Times Cited: 17
Modal decomposition integrated model for ultra-supercritical coal-fired power plant reheater tube temperature multi-step prediction
Linfei Yin, Hang Zhou
Energy (2024) Vol. 292, pp. 130521-130521
Closed Access | Times Cited: 6
Short-Term Load Forecasting Model Based on Time Series Clustering and Transformer in Smart Grid
Luping Liu, Ruijuan Zheng, Muhua Liu, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 230-230
Open Access
An Artificial Neural Network for Solar Energy Prediction and Control Using Jaya-SMC
Mokhtar Jlidi, Faiçal Hamidi, Óscar Barambones, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 592-592
Open Access | Times Cited: 15
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
Jianzhou Wang, Kang Wang, Zhiwu Li, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110692-110692
Closed Access | Times Cited: 14
Short-term load forecasting using spatial-temporal embedding graph neural network
Chuyuan Wei, Dechang Pi, Mingtian Ping, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109873-109873
Closed Access | Times Cited: 13
Hybrid Metaheuristics With Machine Learning Based Botnet Detection in Cloud Assisted Internet of Things Environment
Latifah Almuqren, Hamed Alqahtani, Sumayh S. Aljameel, et al.
IEEE Access (2023) Vol. 11, pp. 115668-115676
Open Access | Times Cited: 12
Closed-loop state of charge estimation of Li-ion batteries based on deep learning and robust adaptive Kalman filter
Wei Qi, Wenhu Qin, Zhonghua Yun
Energy (2024) Vol. 307, pp. 132805-132805
Closed Access | Times Cited: 4
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