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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:

Forecasting of Short-Term Load Using the MFF-SAM-GCN Model
Yongqi Zou, Wenjiang Feng, Juntao Zhang, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3140-3140
Open Access | Times Cited: 18

Showing 18 citing articles:

A comprehensive review on deep learning approaches for short-term load forecasting
Yavuz Eren, İbrahim Beklan Küçükdemiral
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 114031-114031
Open Access | Times Cited: 65
Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang, Peng Chen, Zhao Zhen, et al.
Applied Energy (2022) Vol. 323, pp. 119579-119579
Closed Access | Times Cited: 61
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 24
Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in predicting wind speed and energy generation
Seyed Matin Malakouti
Intelligent Systems with Applications (2023) Vol. 19, pp. 200248-200248
Open Access | Times Cited: 23
Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction
Yiyang Sun, Xiangwen Wang, Junjie Yang
Energies (2022) Vol. 15, Iss. 12, pp. 4334-4334
Open Access | Times Cited: 34
A Novel Wind Power Probabilistic Forecasting System Based on Transformer Networks and Multi-Objective Optimization
Q.S. Shu, Yao Dong, Mengyuan Tong, et al.
(2025)
Closed Access
Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning
Yuanquan Zhong
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue
Paweł Pijarski, Adrian Belowski
Energies (2024) Vol. 17, Iss. 2, pp. 516-516
Open Access | Times Cited: 4
MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting
Yilei Qiu, Zhou He, Wenyu Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121737-121737
Closed Access | Times Cited: 9
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 7
Performance Analysis of Deep Learning-Based Electric Load Forecasting Model with Particle Swarm Optimization
LuPing Dai
Heliyon (2024) Vol. 10, Iss. 16, pp. e35273-e35273
Open Access | Times Cited: 2
A novel ensemble deep reinforcement learning model for short‐term load forecasting based on Q‐learning dynamic model selection
Xin He, Wenlu Zhao, Licheng Zhang, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 7
Open Access | Times Cited: 1
Optimal Load Distribution of CHP Based on Combined Deep Learning and Genetic Algorithm
Anping Wan, Qing Chang, Yinlong Zhang, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7736-7736
Open Access | Times Cited: 6
Multi-featured short-term electricity load forecasting based on error-optimal weighting method and improved combination forecasting model
Huiqun Yu, Haoyi Sun, Y. Li, et al.
Research Square (Research Square) (2024)
Open Access
Enhanced Short-Term Load Forecasting: Error-Weighted and Hybrid Model Approach
Huiqun Yu, Haoyi Sun, Y. Li, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5304-5304
Open Access
Short-Term Load Forecasting Using Jaya Algorithm
Papia Ray, Surender Reddy Salkuti
Lecture notes in electrical engineering (2023), pp. 315-342
Closed Access
Research on the effect of animation IP dissemination based on social network analysis
Jie Zheng
Applied Mathematics and Nonlinear Sciences (2023) Vol. 9, Iss. 1
Open Access
Short-Term Load Forecastiong Based on Residual Graph Convolutional Neural Network
Mengqing Bian, Xiaodong Chu, Hua Ye
2021 International Conference on Power System Technology (POWERCON) (2023), pp. 1-5
Closed Access
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