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:
Adversarial false data injection attacks on deep learning‐based short‐term wind speed forecasting
Lei Yang, Gaoshen Liang, Yanrong Yang, et al.
IET Renewable Power Generation (2023) Vol. 18, Iss. 7, pp. 1370-1379
Open Access | Times Cited: 7
Lei Yang, Gaoshen Liang, Yanrong Yang, et al.
IET Renewable Power Generation (2023) Vol. 18, Iss. 7, pp. 1370-1379
Open Access | Times Cited: 7
Showing 7 citing articles:
Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review
Zhenyong Zhang, Mengxiang Liu, Mingyang Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 18951-18975
Open Access | Times Cited: 12
Zhenyong Zhang, Mengxiang Liu, Mingyang Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 18951-18975
Open Access | Times Cited: 12
Applying Large Language Models to Power Systems: Potential Security Threats
Jiaqi Ruan, Gaoqi Liang, Huan Zhao, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 3, pp. 3333-3336
Open Access | Times Cited: 11
Jiaqi Ruan, Gaoqi Liang, Huan Zhao, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 3, pp. 3333-3336
Open Access | Times Cited: 11
Safe dynamic optimization of automatic generation control via imitation-based reinforcement learning
Z. Y. Zhang, Yongjun Wu, Zhenkun Hao, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Z. Y. Zhang, Yongjun Wu, Zhenkun Hao, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access
Wind Power Forecasting: LSTM-Combined Deep Reinforcement Learning Approach
Yang Wang, Xinhao Lin, Zhukui Tan, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 5202-5206
Closed Access | Times Cited: 1
Yang Wang, Xinhao Lin, Zhukui Tan, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 5202-5206
Closed Access | Times Cited: 1
Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience
Zhao Xu, Jiaqi Ruan, Xiangrui Meng, et al.
Research Square (Research Square) (2023)
Open Access
Zhao Xu, Jiaqi Ruan, Xiangrui Meng, et al.
Research Square (Research Square) (2023)
Open Access
Investigation of Artificial Intelligence Vulnerability in Smart Grids: A Case from Solar Energy Forecasting
Qihan Wang, Jiaqi Ruan, Xiangrui Meng, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 5207-5212
Closed Access
Qihan Wang, Jiaqi Ruan, Xiangrui Meng, et al.
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2023), pp. 5207-5212
Closed Access
