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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:

Granular neural networks: A study of optimizing allocation of information granularity in input space
Mingli Song, Yukai Jing, Witold Pedrycz
Applied Soft Computing (2019) Vol. 77, pp. 67-75
Closed Access | Times Cited: 20

Showing 20 citing articles:

An overview of granular computing in decision-making: Extensions, applications, and challenges
Jindong Qin, Luis Martı́nez, Witold Pedrycz, et al.
Information Fusion (2023) Vol. 98, pp. 101833-101833
Closed Access | Times Cited: 31
Robust supervised rough granular description model with the principle of justifiable granularity
Hengrong Ju, Weiping Ding, Xibei Yang, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107612-107612
Closed Access | Times Cited: 39
Building a consensus for the best-worst method in group decision-making with an optimal allocation of information granularity
Jindong Qin, Xiaoyü Ma, Yingying Liang
Information Sciences (2022) Vol. 619, pp. 630-653
Closed Access | Times Cited: 25
Time series prediction with granular neural networks
Mingli Song, Yan Li, Witold Pedrycz
Neurocomputing (2023) Vol. 546, pp. 126328-126328
Closed Access | Times Cited: 10
Complexity-aided time series modeling and forecasting under a decomposition-aggregation framework
Mingli Song, Ruobing Wang
Information Sciences (2024) Vol. 664, pp. 120352-120352
Closed Access | Times Cited: 3
A Granular Computing-Driven Best–Worst Method for Supporting Group Decision Making
Jindong Qin, Xiaoyü Ma, Witold Pedrycz
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5591-5603
Closed Access | Times Cited: 7
Hybrid time series interval prediction by granular neural network and ARIMA
Mingli Song, Ruobing Wang, Yan Li
Granular Computing (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 5
A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 12, pp. 3845-3858
Open Access | Times Cited: 11
Feature ranking based on an improved granular neural network
Mingli Song, HU Lian-sheng, Feng Shuang, et al.
Granular Computing (2022) Vol. 8, Iss. 1, pp. 209-222
Closed Access | Times Cited: 6
Granular neural networks: The development of granular input spaces and parameters spaces through a hierarchical allocation of information granularity
Mingli Song, Yukai Jing
Information Sciences (2020) Vol. 517, pp. 148-166
Closed Access | Times Cited: 8
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
Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training
Jiaxu Tian, Dapeng Zhi, Si Liu, et al.
Lecture notes in computer science (2023), pp. 73-97
Closed Access | Times Cited: 2
A multi-objective optimization-based granular neural networks under the principle of justifiable granularity
Qiuping Zhong, Fumin Ma, Cheng Wang, et al.
(2024), pp. 146-146
Closed Access
The News Delivery Channel Recommendation Based on Granular Neural Network
Lin Wu, Rui Li, Jiaxuan Liu
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Non-uniform allocation of information granularity to improve consistency and consensus in multi-criteria group decision-making: Application to building refurbishment
Juan Carlos González-Quesada, Anastasiia Velykorusova, Audrius Banaitis, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107737-107737
Closed Access | Times Cited: 1
A Distribution of Information Granularity to Deal With Inconsistency in Multi-Criteria and Heterogeneous Group Decision Making
Francisco Javier Cabrerizo, Ignacio Javier Pérez, Juan Antonio Morente-Molinera, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2021)
Open Access | Times Cited: 3
A Rating Prediction Recommendation Model Combined with the Optimizing Allocation for Information Granularity of Attributes
Jianfei Li, Yongbin Wang, Zhulin Tao
Information (2022) Vol. 13, Iss. 1, pp. 21-21
Open Access | Times Cited: 1
A development framework of granular prototypes with an allocation of information granularity
Mingli Song, Yapeng Liu
Information Sciences (2021) Vol. 573, pp. 154-170
Closed Access | Times Cited: 1
Complexity-Aided Time Series Modeling and Forecasting Under a Decomposition-Aggregation Framework
Mingli Song, Ruobing Wang
(2023)
Closed Access
Comparison of Hyperbox Granular Computing Classification Algorithms by Positive Valuation Functions
Baoduo Su, Yinhao Zhang, Meiyao Zhu, et al.
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) (2022), pp. 239-243
Closed Access
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