OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Iron-Tapping State Recognition of Blast Furnace Based on Bi-GRU Composite Model and Post-Processing Classifier
Youcheng Zong, Shaowei Hu, Debo Qin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 18, pp. 22006-22018
Closed Access | Times Cited: 6

Showing 6 citing articles:

Application of electromagnetic metallurgy in continuous casting: A review
Jiale Li, Yi Nian, Xiang Liu, et al.
Progress in Natural Science Materials International (2024) Vol. 34, Iss. 1, pp. 1-11
Closed Access | Times Cited: 9

A power load forecasting method in port based on VMD-ICSS-hybrid neural network
Kai Ma, Xuefeng Nie, Jie Yang, et al.
Applied Energy (2024) Vol. 377, pp. 124246-124246
Closed Access | Times Cited: 6

An Automatic Recognition Approach for Tapping States Based on Object Detection
Lianqing Xue, Hongwei Guo, Helan Liang, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 139-139
Open Access

Judgment of blast furnace iron-tapping status based on data differential processing and dynamic window analysis algorithm
Youcheng Zong, Zixian Wang, Xiang Liu, et al.
Progress in Natural Science Materials International (2023) Vol. 33, Iss. 4, pp. 450-457
Closed Access | Times Cited: 5

Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes
Youcheng Zong, Yi Nian, Chaojie Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109580-109580
Closed Access

Page 1

Scroll to top