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:

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

Showing 1-25 of 34 citing articles:

Building Trend Fuzzy Granulation-Based LSTM Recurrent Neural Network for Long-Term Time-Series Forecasting
Yuqing Tang, Fusheng Yu, Witold Pedrycz, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 6, pp. 1599-1613
Closed Access | Times Cited: 66

Reinforcement learning for industrial process control: A case study in flatness control in steel industry
Jifei Deng, Seppo Sierla, Jie Sun, et al.
Computers in Industry (2022) Vol. 143, pp. 103748-103748
Open Access | Times Cited: 50

A survey on multi-label feature selection from perspectives of label fusion
Wenbin Qian, Jintao Huang, Fankang Xu, et al.
Information Fusion (2023) Vol. 100, pp. 101948-101948
Closed Access | Times Cited: 34

Concept cognition over knowledge graphs: A perspective from mining multi-granularity attribute characteristics of concepts
Xin Hu, Deju Huang, Jiangli Duan, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104095-104095
Closed Access

A spatiotemporal characteristics based multi-nodes state prediction method for byproduct gas system and its application on safety assessment
Ze Wang, Zhongyang Han, Jun Zhao, et al.
Control Engineering Practice (2025) Vol. 158, pp. 106280-106280
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

Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem
Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag, et al.
AI (2025) Vol. 6, Iss. 3, pp. 48-48
Open Access

Short-term forecasting for port throughput time series based on multi-modal fuzzy information granule
Fang Li, Wen H. Tong, Xiyang Yang
Applied Soft Computing (2025), pp. 112957-112957
Closed Access

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

Develop a multi-linear-trend fuzzy information granule based short-term time series forecasting model with k-medoids clustering
Fang Li, Caifang Wang
Information Sciences (2023) Vol. 629, pp. 358-375
Closed Access | Times Cited: 10

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

Studying the evolutions, differences, and water security impacts of water demands under shared socioeconomic pathways: A SEMs-bootstrap-ANN approach applied to Sichuan Province
Li Mo, Sijing Lou, Yongqiang Wang, et al.
Journal of Environmental Management (2023) Vol. 349, pp. 119455-119455
Closed Access | Times Cited: 7

Time-Series Forecasting via Fuzzy-Probabilistic Approach With Evolving Clustering-Based Granulation
Weina Wang, Wanquan Liu, Hui Chen
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 12, pp. 5324-5336
Closed Access | Times Cited: 11

Hierarchical Axiomatic Fuzzy Set Granulation for Financial Time Series Clustering
Hongyue Guo, Haibo Kuang, Lidong Wang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 30, Iss. 3, pp. 755-766
Closed Access | Times Cited: 14

A Granulation Strategy-Based Algorithm for Computing Strongly Connected Components in Parallel
Huixing He, Taihua Xu, Jianjun Chen, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1723-1723
Open Access | Times Cited: 1

A Novel Neural Network-Based Multiobjective Evolution Lower Upper Bound Estimation Method for Electricity Load Interval Forecast
Yaoyao He, Jianhua Zhu, Shuo Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 3069-3083
Closed Access | Times Cited: 1

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

CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity
Bin Yu, Zijian Zheng, Mingjie Cai, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 8, pp. 4388-4400
Closed Access | Times Cited: 1

Polynomial fuzzy information granule based α-Triple I fuzzy reasoning algorithm and its short-term forecasting of time series
Fang Li, Caifang Wang
Information Sciences (2024), pp. 121469-121469
Closed Access | Times Cited: 1

Granular computing and optimization model-based method for large-scale group decision-making and its application
Yuanhang Zheng, Zeshui Xu, Yuhang Tian
Economic Research-Ekonomska Istraživanja (2022) Vol. 35, Iss. 1, pp. 5221-5252
Open Access | Times Cited: 7

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

Gradient temporal-difference learning for off-policy evaluation using emphatic weightings
Jiaqing Cao, Quan Liu, Fei Zhu, et al.
Information Sciences (2021) Vol. 580, pp. 311-330
Closed Access | Times Cited: 7

A semantic facial expression intensity descriptor based on information granules
Mingliang Xue, Xiaodong Duan, Wanquan Liu, et al.
Information Sciences (2020) Vol. 528, pp. 113-132
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

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