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:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction
Hui Song, A. K. Qin, Chenggang Yan
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Open Access | Times Cited: 5
Hui Song, A. K. Qin, Chenggang Yan
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-8
Open Access | Times Cited: 5
Showing 5 citing articles:
Multitasking recurrent neural network for photovoltaic power generation prediction
Hui Song, Nameer Al Khafaf, Ammar Mansoor Kamoona, et al.
Energy Reports (2023) Vol. 9, pp. 369-376
Open Access | Times Cited: 21
Hui Song, Nameer Al Khafaf, Ammar Mansoor Kamoona, et al.
Energy Reports (2023) Vol. 9, pp. 369-376
Open Access | Times Cited: 21
Two-Stage Multitasking Energy Demand Prediction
Hui Song, Mahdi Jalili, Xinghuo Yu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 3, pp. 1554-1565
Closed Access | Times Cited: 5
Hui Song, Mahdi Jalili, Xinghuo Yu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 3, pp. 1554-1565
Closed Access | Times Cited: 5
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
Hui Song, Miao Zheng, Ali Babalhavaeji, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1
Hui Song, Miao Zheng, Ali Babalhavaeji, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1
Machine learning based energy demand prediction
Ammar Mansoor Kamoona, Hui Song, Kian Keshavarzian, et al.
Energy Reports (2023) Vol. 9, pp. 171-176
Open Access | Times Cited: 3
Ammar Mansoor Kamoona, Hui Song, Kian Keshavarzian, et al.
Energy Reports (2023) Vol. 9, pp. 171-176
Open Access | Times Cited: 3
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Bo Wang, A. K. Qin, Sajjad Shafiei, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Open Access | Times Cited: 1
Bo Wang, A. K. Qin, Sajjad Shafiei, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Open Access | Times Cited: 1
