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OpenAlex Citation Counts

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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:

A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking
Xinmin Zhang, Manabu Kano, Shinroku Matsuzaki
Computers & Chemical Engineering (2019) Vol. 130, pp. 106575-106575
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms
Muzammil Khan, Zahid Ullah, Ondřej Mašek, et al.
Bioresource Technology (2022) Vol. 355, pp. 127215-127215
Open Access | Times Cited: 87
Rebooting data-driven soft-sensors in process industries: A review of kernel methods
Yiqi Liu, Min Xie
Journal of Process Control (2020) Vol. 89, pp. 58-73
Closed Access | Times Cited: 108
Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review
Sung Wook Kim, Jun Ho Kong, Sang Won Lee, et al.
International Journal of Precision Engineering and Manufacturing (2021) Vol. 23, Iss. 1, pp. 111-129
Open Access | Times Cited: 102
A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace
Xianpeng Wang, Tenghui Hu, Lixin Tang
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 5, pp. 2080-2093
Closed Access | Times Cited: 72
Data‐driven modelling methods in sintering process: Current research status and perspectives
Yan Feng, Xinmin Zhang, Chunjie Yang, et al.
The Canadian Journal of Chemical Engineering (2022) Vol. 101, Iss. 8, pp. 4506-4522
Open Access | Times Cited: 58
Data-driven soft sensors in blast furnace ironmaking: a survey
Yueyang Luo, Xinmin Zhang, Manabu Kano, et al.
Frontiers of Information Technology & Electronic Engineering (2023) Vol. 24, Iss. 3, pp. 327-354
Open Access | Times Cited: 35
Prediction of Uranium Adsorption Capacity in Radioactive Wastewater Treatment with Biochar
Zening Qu, Wei Wang, Yan He
Toxics (2024) Vol. 12, Iss. 2, pp. 118-118
Open Access | Times Cited: 10
Blast furnace hot metal temperature and silicon content prediction using soft sensor based on fuzzy C-means and exogenous nonlinear autoregressive models
Diane Otília Lima. Fontes, Luís Gonzaga Sales Vasconcelos, Romildo Pereira Brito
Computers & Chemical Engineering (2020) Vol. 141, pp. 107028-107028
Closed Access | Times Cited: 51
A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors
Joyce Chen Yen Ngu, Wan Sieng Yeo, Teck Fu Thien, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111975-111975
Open Access | Times Cited: 7
Artificial Neural Network for Predicting Silicon Content in the Hot Metal Produced in a Blast Furnace Fueled by Metallurgical Coke
Wandercleiton Cardoso, Renzo Di Felice, Raphael Colombo Baptista
Materials Research (2022) Vol. 25
Open Access | Times Cited: 23
Data-Driven Soft Sensing for Batch Processes Using Neural Network-Based Deep Quality-Relevant Representation Learning
Qingchao Jiang, Ziwen Wang, Shifu Yan, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 4, pp. 602-611
Closed Access | Times Cited: 23
A review of just‐in‐time learning‐based soft sensor in industrial process
Weiwei Sheng, Jinchuan Qian, Zhihuan Song, et al.
The Canadian Journal of Chemical Engineering (2024) Vol. 102, Iss. 5, pp. 1884-1898
Closed Access | Times Cited: 5
Prediction of optimum operating conditions of a furnace under uncertainty: An integrated framework of artificial neural network and genetic algorithm
Muzammil Khan, Iftikhar Ahmad, Muhammad Ahsan, et al.
Fuel (2022) Vol. 330, pp. 125563-125563
Closed Access | Times Cited: 20
metafur: Digital Twin System of a Blast Furnace
Sri Harsha Nistala, Rajan Kumar, Manendra Singh Parihar, et al.
Transactions of the Indian Institute of Metals (2024) Vol. 77, Iss. 12, pp. 4383-4393
Closed Access | Times Cited: 4
Double-Level Locally Weighted Extreme Learning Machine for Soft Sensor Modeling of Complex Nonlinear Industrial Processes
Xiangrui Zhang, Xiaogang Deng, Ping Wang
IEEE Sensors Journal (2020) Vol. 21, Iss. 2, pp. 1897-1905
Closed Access | Times Cited: 31
Evaluation and Prediction of Blast Furnace Status Based on Big Data Platform of Ironmaking and Data Mining
Hongyang Li, Xiangping Bu, Xiaojie Liu, et al.
ISIJ International (2020) Vol. 61, Iss. 1, pp. 108-118
Open Access | Times Cited: 28
A comparative study between PCR, PLSR, and LW-PLS on the predictive performance at different data splitting ratios
Teck Fu Thien, Wan Sieng Yeo
Chemical Engineering Communications (2021) Vol. 209, Iss. 11, pp. 1439-1456
Closed Access | Times Cited: 24
Stacked supervised Poisson autoencoders-based soft-sensor for defects prediction in steelmaking process
Xinmin Zhang, Manabu Kano, Masahiro Tani
Computers & Chemical Engineering (2023) Vol. 172, pp. 108182-108182
Closed Access | Times Cited: 10
Prediction of Color Change in Heat-Treated Wood Based on Improved Zebra Algorithm Optimized Deep Hybrid Kernel Extreme Learning Machine Model (IZOA-DHKELM)
Jingjie Liang, Wei Wang, Zening Qu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 253-253
Open Access
Dynamic multiobjective operation optimization of blast furnace ironmaking process
Yumeng Zhao, Xianpeng Wang, Xiangman Song
Advanced Engineering Informatics (2025) Vol. 66, pp. 103402-103402
Closed Access
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults
Xinmin Zhang, Hongyi Zhang, Zhihuan Song
IEEE Transactions on Artificial Intelligence (2021) Vol. 4, Iss. 4, pp. 592-601
Closed Access | Times Cited: 21
A novel committee machine to predict the quantity of impurities in hot metal produced in blast furnace
Wandercleiton Cardoso, Renzo Di Felice
Computers & Chemical Engineering (2022) Vol. 163, pp. 107814-107814
Closed Access | Times Cited: 16
Fuel Ratio Optimization of Blast Furnace Based on Data Mining
Xiuyun Zhai, Mingtong Chen, Wencong Lu
ISIJ International (2020) Vol. 60, Iss. 11, pp. 2471-2476
Open Access | Times Cited: 21
Data-centric process systems engineering: A push towards PSE 4.0
Marco S. Reis, Pedro Saraiva
Computers & Chemical Engineering (2021) Vol. 155, pp. 107529-107529
Closed Access | Times Cited: 19
Predictive Modeling of Blast Furnace Gas Utilization Rate Using Different Data Pre-Processing Methods
Dewen Jiang, Zhenyang Wang, Kejiang Li, et al.
Metals (2022) Vol. 12, Iss. 4, pp. 535-535
Open Access | Times Cited: 14
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