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:
Prediction of lime utilization ratio of dephosphorization in BOF steelmaking based on online sequential extreme learning machine with forgetting mechanism
Runhao Zhang, Jian Yang, Han Sun, et al.
International Journal of Minerals Metallurgy and Materials (2024) Vol. 31, Iss. 3, pp. 508-517
Closed Access | Times Cited: 8
Runhao Zhang, Jian Yang, Han Sun, et al.
International Journal of Minerals Metallurgy and Materials (2024) Vol. 31, Iss. 3, pp. 508-517
Closed Access | Times Cited: 8
Showing 8 citing articles:
Runoff prediction using a multi-scale two-phase processing hybrid model
Xuehua Zhao, Huifang Wang, Qiucen Guo, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Xuehua Zhao, Huifang Wang, Qiucen Guo, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access | Times Cited: 1
Interpretable stacking ensemble learning for predicting the BOF oxygen blowing amount for making high-carbon steel with state-of-the-art machine learning and deep learning models
Tian-yi Xie, Cai-dong Zhang, Fei Hu Zhang, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 1
Tian-yi Xie, Cai-dong Zhang, Fei Hu Zhang, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 1
Dynamic Soft Sensor Model for Endpoint Carbon Content and Temperature in Bof Steelmaking Based on Adaptive Balanced Joint Distribution Alignment Domain Adaptation with Variational Autoencoder
Zhaoxiang Liu, Hui Liu, Fugang Chen, et al.
(2024)
Closed Access
Zhaoxiang Liu, Hui Liu, Fugang Chen, et al.
(2024)
Closed Access
Self-Attention-Based Convolutional Parallel Network: An Efficient Multi-Input Deep Learning Model for Endpoint Prediction of High-Carbon BOF Steelmaking
Tian-yi Xie, Fei Zhang, Yiren Li, et al.
Metallurgical and Materials Transactions B (2024) Vol. 55, Iss. 6, pp. 4271-4290
Closed Access
Tian-yi Xie, Fei Zhang, Yiren Li, et al.
Metallurgical and Materials Transactions B (2024) Vol. 55, Iss. 6, pp. 4271-4290
Closed Access
Dynamic Soft Sensor Model for Endpoint Carbon Content and Temperature in BOF Steelmaking Based on Adaptive Feature Matching Variational Autoencoder
Zhaoxiang Liu, Hui Liu, Fugang Chen, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1807-1807
Open Access
Zhaoxiang Liu, Hui Liu, Fugang Chen, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1807-1807
Open Access
Improved monthly runoff time series prediction by integrating ICCEMDAN and SWD with ELM
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Research Square (Research Square) (2024)
Closed Access
Huifang Wang, Xuehua Zhao, Qiucen Guo, et al.
Research Square (Research Square) (2024)
Closed Access
Transfer Learning Deep EDC-Tabnet for Predicting End-Point of BOF Steelmaking Process with Small Samples
Shuxiang Dong, Jiachen Guo, Wenyue Hu, et al.
Metallurgical and Materials Transactions B (2024)
Closed Access
Shuxiang Dong, Jiachen Guo, Wenyue Hu, et al.
Metallurgical and Materials Transactions B (2024)
Closed Access
Prediction of BOF endpoint carbon content and temperature via CSSA-BP neural network model
Xiaojun Qiu, Runhao Zhang, Jian Yang
Journal of Iron and Steel Research International (2024)
Closed Access
Xiaojun Qiu, Runhao Zhang, Jian Yang
Journal of Iron and Steel Research International (2024)
Closed Access
