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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:

Adaptive Granulation-Based Prediction for Energy System of Steel Industry
Tianyu Wang, Zhongyang Han, Jun Zhao, et al.
IEEE Transactions on Cybernetics (2016) Vol. 48, Iss. 1, pp. 127-138
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Review of Deep Learning Models for Time Series Prediction
Zhongyang Han, Jun Zhao, Henry Leung, et al.
IEEE Sensors Journal (2019) Vol. 21, Iss. 6, pp. 7833-7848
Closed Access | Times Cited: 305
Knowledge-based real-time scheduling for gas supply network using cooperative multi-agent reinforcement learning and predictive functional range control
Pengwei Zhou, Zuhua Xu, Jiakun Fang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110206-110206
Closed Access
A Two-Stage Event Partition-Based Bayesian Networks Group Prediction Method for Converter Gas Generation
Junyan Fan, Dinghui Wu, Shenxin Lu
(2025)
Closed Access
Multiseries Featural LSTM for Partial Periodic Time-Series Prediction: A Case Study for Steel Industry
Tianyu Wang, Henry Leung, Jun Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 9, pp. 5994-6003
Closed Access | Times Cited: 47
Granular Prediction and Dynamic Scheduling Based on Adaptive Dynamic Programming for the Blast Furnace Gas System
Jun Zhao, Tianyu Wang, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 4, pp. 2201-2214
Closed Access | Times Cited: 43
Hybrid event-, mechanism- and data-driven prediction of blast furnace gas generation
Wenqiang Sun, Zihao Wang, Qiang Wang
Energy (2020) Vol. 199, pp. 117497-117497
Closed Access | Times Cited: 42
Prediction of Blast Furnace Gas Generation Based on Bayesian Network
Zifeng Wu, Dinghui Wu
Energies (2025) Vol. 18, Iss. 5, pp. 1182-1182
Open Access
Fuzzy Knowledge-Based Prediction Through Weighted Rule Interpolation
Fangyi Li, Ying Li, Changjing Shang, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 10, pp. 4508-4517
Open Access | Times Cited: 37
Attribute-Driven Granular Model for EMG-Based Pinch and Fingertip Force Grand Recognition
Yinfeng Fang, Dalin Zhou, Kairu Li, et al.
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 2, pp. 789-800
Open Access | Times Cited: 36
Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals
Zhongyang Han, Witold Pedrycz, Jun Zhao, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 1, pp. 666-676
Closed Access | Times Cited: 34
Trend-Based Granular Representation of Time Series and its Application in Clustering
Hongyue Guo, Lidong Wang, Xiaodong Liu, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9101-9110
Closed Access | Times Cited: 30
A Dynamic Scheduling Framework for Byproduct Gas System Combining Expert Knowledge and Production Plan
Tianyu Wang, Jun Zhao, Qingshan Xu, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 20, Iss. 1, pp. 541-552
Closed Access | Times Cited: 16
Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network
Pengwei Zhou, Zuhua Xu, Xiaoping Zhu, et al.
Information Sciences (2023) Vol. 633, pp. 280-304
Closed Access | Times Cited: 9
A Generalized Heterogeneous Type-2 Fuzzy Classifier and Its Industrial Application
Jun Zhao, Yang Liu, Linqing Wang, et al.
IEEE Transactions on Fuzzy Systems (2019), pp. 1-1
Closed Access | Times Cited: 27
Spatiotemporal Prediction for Energy System of Steel Industry by Generalized Tensor Granularity Based Evolving Type-2 Fuzzy Neural Network
Jun Zhao, Yang Liu, Witold Pedrycz, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 7933-7945
Closed Access | Times Cited: 21
Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network
Pengwei Zhou, Zuhua Xu, Xudong Peng, et al.
Computers & Chemical Engineering (2022) Vol. 163, pp. 107844-107844
Closed Access | Times Cited: 15
Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network
Pengwei Zhou, Zuhua Xu, Jun Zhao, et al.
Computers & Chemical Engineering (2021) Vol. 153, pp. 107442-107442
Closed Access | Times Cited: 18
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction
Shoubo Feng, Min Han, Jiadong Zhang, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 6, pp. 4115-4125
Closed Access | Times Cited: 18
A Condition Knowledge Representation and Feedback Learning Framework for Dynamic Optimization of Integrated Energy Systems
Tianyu Wang, Jun Zhao, Henry Leung, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2880-2890
Closed Access | Times Cited: 4
Granulation-based long-term interval prediction considering spatial–temporal correlations for gas demand prediction in the steel industry
Pengwei Zhou, Zuhua Xu, Xiaoping Zhu, et al.
Expert Systems with Applications (2024) Vol. 248, pp. 123382-123382
Closed Access | Times Cited: 1
Granular-Based Multilayer Spatiotemporal Network With Control Gates for Energy Prediction of Steel Industry
Tianyu Wang, Jun Zhao, Quanli Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-12
Closed Access | Times Cited: 9
Hybrid prediction method of blast furnace gas generation considering multi-operation modes in steel plants near the city
Kai Zhang, Zhong Zheng, Mingmei Zhu, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 56, pp. 103031-103031
Closed Access | Times Cited: 3
Recurrence Behavior Statistics of Blast Furnace Gas Sensor Data in Industrial Internet of Things
Yingqi Li, Di Cai, Jialin Wang, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 6, pp. 5666-5676
Closed Access | Times Cited: 8
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry
Linqing Wang, Zhongyang Han, Witold Pedrycz, et al.
IEEE Access (2020) Vol. 8, pp. 63538-63550
Open Access | Times Cited: 7
Trend-GRU Model based Time Series Data Prediction in Melt Transport Process
Dongqi Zhao, Kuangrong Hao, Lei Chen, et al.
(2019), pp. 541-546
Closed Access | Times Cited: 2
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