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:
基于混合多阶集成模型的非平衡热轧带钢凸度智能诊断
Cheng-yan Ding, Jie Sun, Xiaojian Li, et al.
Journal of Central South University (2024) Vol. 31, Iss. 3, pp. 762-782
Closed Access | Times Cited: 5
Cheng-yan Ding, Jie Sun, Xiaojian Li, et al.
Journal of Central South University (2024) Vol. 31, Iss. 3, pp. 762-782
Closed Access | Times Cited: 5
Showing 5 citing articles:
An interpretable framework for high-precision flatness prediction in strip cold rolling
Cheng-yan Ding, Jun-Cheng Ye, Jia-Wei Lei, et al.
Journal of Materials Processing Technology (2024) Vol. 329, pp. 118452-118452
Closed Access | Times Cited: 5
Cheng-yan Ding, Jun-Cheng Ye, Jia-Wei Lei, et al.
Journal of Materials Processing Technology (2024) Vol. 329, pp. 118452-118452
Closed Access | Times Cited: 5
Application of digital twin for industrial process control: A case study of gauge-looper-tension optimized control in strip hot rolling
Jie Sun, Chen Shang, Cheng-yan Ding, et al.
Digital Twin (2025) Vol. 4, pp. 10-10
Open Access
Jie Sun, Chen Shang, Cheng-yan Ding, et al.
Digital Twin (2025) Vol. 4, pp. 10-10
Open Access
A novel paradigm for predicting and interpreting uneven roll wear in the hot rolling steel industry
Wen Peng, Cheng-yan Ding, Yü Liu, et al.
Computers in Industry (2025) Vol. 170, pp. 104318-104318
Closed Access
Wen Peng, Cheng-yan Ding, Yü Liu, et al.
Computers in Industry (2025) Vol. 170, pp. 104318-104318
Closed Access
Increasing Exploitation Durability of Two-Layer Cast Mill Rolls and Assessment of the Applicability of the XGBoost Machine Learning Method to Manage Their Quality
Тетяна Власенко, Szymon Głowacki, Vitaliy Vlasovets, et al.
Materials (2024) Vol. 17, Iss. 13, pp. 3231-3231
Open Access | Times Cited: 2
Тетяна Власенко, Szymon Głowacki, Vitaliy Vlasovets, et al.
Materials (2024) Vol. 17, Iss. 13, pp. 3231-3231
Open Access | Times Cited: 2
Application of digital twin for industrial process control: A case study of gauge-looper-tension optimized control in strip hot rolling
Jie Sun, Chen Shang, Cheng-yan Ding, et al.
Digital Twin (2024) Vol. 4, pp. 10-10
Open Access | Times Cited: 2
Jie Sun, Chen Shang, Cheng-yan Ding, et al.
Digital Twin (2024) Vol. 4, pp. 10-10
Open Access | Times Cited: 2
Multi-dimension and multi-modal rolling mill vibration prediction model based on multi-level network fusion
Shu-zong Chen, Yunxiao Liu, Yunlong Wang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 1
Shu-zong Chen, Yunxiao Liu, Yunlong Wang, et al.
Journal of Central South University (2024)
Closed Access | Times Cited: 1
