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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:

Construction of prediction intervals for gas flow systems in steel industry based on granular computing
Zhongyang Han, Jun Zhao, Henry Leung, et al.
Control Engineering Practice (2018) Vol. 78, pp. 79-88
Closed Access | Times Cited: 21

Showing 21 citing articles:

Granular computing for data analytics: a manifesto of human-centric computing
Witold Pedrycz
IEEE/CAA Journal of Automatica Sinica (2018) Vol. 5, Iss. 6, pp. 1025-1034
Closed Access | Times Cited: 118
Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation
Shuhan Liu, Wenqiang Sun
Energy (2022) Vol. 262, pp. 125498-125498
Closed Access | Times Cited: 49
A Two-Stage Event Partition-Based Bayesian Networks Group Prediction Method for Converter Gas Generation
Junyan Fan, Dinghui Wu, Shenxin Lu
(2025)
Closed Access
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
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
Boosted K-nearest neighbor classifiers based on fuzzy granules
Wei Li, Yumin Chen, Yuping Song
Knowledge-Based Systems (2020) Vol. 195, pp. 105606-105606
Closed Access | Times Cited: 39
A Spatio-Temporal Deep Learning Network for the Short-Term Energy Consumption Prediction of Multiple Nodes in Manufacturing Systems
Jianhua Guo, Mingdong Han, Guozhi Zhan, et al.
Processes (2022) Vol. 10, Iss. 3, pp. 476-476
Open Access | Times Cited: 15
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
Granular Fuzzy Modeling Guided Through the Synergy of Granulating Output Space and Clustering Input Subspaces
Wei Lu, Witold Pedrycz, Jianhua Yang, et al.
IEEE Transactions on Cybernetics (2019) Vol. 51, Iss. 5, pp. 2625-2638
Closed Access | Times Cited: 17
Granular Description With Multigranularity for Multidimensional Data: A Cone-Shaped Fuzzy Set-Based Method
Wei Lu, Witold Pedrycz, Jianhua Yang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 7, pp. 1786-1801
Open Access | Times Cited: 17
Using Granule to Search Privacy Preserving Voice in Home IoT Systems
Wei Li, Yumin Chen, Huosheng Hu, et al.
IEEE Access (2020) Vol. 8, pp. 31957-31969
Open Access | Times Cited: 13
A byproduct gas distribution model for production users considering calorific value fluctuation and supply patterns in steel plants
Kai Zhang, Zhong Zheng, Ling Feng, et al.
Alexandria Engineering Journal (2023) Vol. 76, pp. 821-834
Open 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
A hybrid granular-evolutionary computing method for cooperative scheduling optimization on integrated energy system in steel industry
Zhongyang Han, Xinyu Zhang, Hongqi Zhang, et al.
Swarm and Evolutionary Computation (2022) Vol. 73, pp. 101123-101123
Closed Access | Times Cited: 7
Dynamic soft sensor based parameters and demand curve estimation for Water Distribution System: Theoretical and Experimental cross validation
S Sankaranarayanan, N. Sivakumaran, T. K. Radhakrishnan, et al.
Control Engineering Practice (2020) Vol. 102, pp. 104544-104544
Closed Access | Times Cited: 6
Design of Granular Model: A Method Driven by Hyper-Box Iteration Granulation
Wei Lu, Cong Ma, Witold Pedrycz, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 5, pp. 2899-2913
Closed Access | Times Cited: 6
Gas system scheduling strategy for steel metallurgical process based on multi-objective differential evolution
Lili Feng, Jun Peng, Zhaojun Huang
Information Sciences (2023) Vol. 654, pp. 119817-119817
Closed Access | Times Cited: 2
Symmetric spatiotemporal learning network with sparse meter graph for short-term energy-consumption prediction in manufacturing systems
Jianhua Guo, Mingdong Han, Chunlin Xu, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34394-e34394
Open Access
Fuzzy Granular Hyperplane Classifiers
Wei Li, Zhongnan Wei, Yumin Chen, et al.
IEEE Access (2020) Vol. 8, pp. 112066-112077
Open Access | Times Cited: 3
Granular Computing: Fundamentals and System Modeling
Witold Pedrycz
Studies in systems, decision and control (2021), pp. 167-192
Closed Access | Times Cited: 2
Granular Modeling for the Realization of Fundamentals of Control, Systems Analysis, and Decision Making
Witold Pedrycz
Studies in systems, decision and control (2022), pp. 3-25
Closed Access
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