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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: Concepts and Development Schemes
Mingli Song, Witold Pedrycz
IEEE Transactions on Neural Networks and Learning Systems (2013) Vol. 24, Iss. 4, pp. 542-553
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Granular computing, computational intelligence, and the analysis of non-geometric input spaces
Lorenzo Livi, Alireza Sadeghian
Granular Computing (2015) Vol. 1, Iss. 1, pp. 13-20
Open Access | Times Cited: 97
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
A study of granular computing in the agenda of growth of artificial neural networks
Mingli Song, Yongbin Wang
Granular Computing (2016) Vol. 1, Iss. 4, pp. 247-257
Open Access | Times Cited: 76
Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting
Chenxi Ouyang, Fusheng Yu, Fei Yang
Applied Soft Computing (2025) Vol. 170, pp. 112724-112724
Closed Access
Systematic mapping study on granular computing
Saber Salehi, Ali Selamat, Hamido Fujita
Knowledge-Based Systems (2015) Vol. 80, pp. 78-97
Closed Access | Times Cited: 61
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
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble
Yang Liu, Jun Zhao, Wei Wang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 4, pp. 874-888
Closed Access | Times Cited: 24
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
Optimal Granule-Based PIs Construction for Solar Irradiance Forecast
Songjian Chai, Zhao Xu, Wai Kin Wong
IEEE Transactions on Power Systems (2015) Vol. 31, Iss. 4, pp. 3332-3333
Closed Access | Times Cited: 26
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
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
Knowledge-Encoded Granular Neural Networks for Hyperspectral Remote Sensing Image Classification
Saroj K. Meher
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2015) Vol. 8, Iss. 6, pp. 2439-2446
Closed Access | Times Cited: 20
A Granular Functional Network with delay: Some dynamical properties and application to the sign prediction in social networks
Vincenzo Loia, Mimmo Parente, Witold Pedrycz, et al.
Neurocomputing (2018) Vol. 321, pp. 61-71
Closed Access | Times Cited: 20
A GIS‐based multi‐criteria seismic vulnerability assessment using the integration of granular computing rule extraction and artificial neural networks
Hossein Sheikhian, M. R. Delavar, Alfred Stein
Transactions in GIS (2017) Vol. 21, Iss. 6, pp. 1237-1259
Open Access | Times Cited: 19
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
Human centricity and information granularity in the agenda of theories and applications of soft computing
Mingli Song, Yongbin Wang
Applied Soft Computing (2014) Vol. 27, pp. 610-613
Closed Access | Times Cited: 18
Development and Analysis of Neural Networks Realized in the Presence of Granular Data
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Neural Networks and Learning Systems (2019) Vol. 31, Iss. 9, pp. 3606-3619
Closed Access | Times Cited: 15
Map-reduce framework-based non-iterative granular echo state network for prediction intervals construction
Chunyang Sheng, Jun Zhao, Wei Wang
Neurocomputing (2016) Vol. 222, pp. 116-126
Closed Access | Times Cited: 13
Granular neural networks learning for time series prediction under a federated scenario
Mingli Song, Xinyu Zhao
Granular Computing (2024) Vol. 9, Iss. 3
Closed Access | Times Cited: 1
Модель, структура та метод синтезу нейронного елемента матричного типу
Ivan Tsmots, Ю. В. Опотяк, Б. В. Штогрінець, et al.
Scientific Bulletin of UNFU (2024) Vol. 34, Iss. 4, pp. 68-77
Open Access | Times Cited: 1
Knowledge-Based Progressive Granular Neural Networks for Remote Sensing Image Classification
D. Arun Kumar, Saroj K. Meher, K. Padma Kumari
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017) Vol. 10, Iss. 12, pp. 5201-5212
Closed Access | Times Cited: 13
Build interval-valued time series forecasting model with interval cognitive map trained by principle of justifiable granularity
Chenxi Ouyang, Fusheng Yu, Yadong Hao, et al.
Information Sciences (2023) Vol. 652, pp. 119756-119756
Closed Access | Times Cited: 4
A biological brain-inspired fuzzy neural network: Fuzzy emotional neural network
Ehsan Zamirpour, Mohammad Mosleh
Biologically Inspired Cognitive Architectures (2018) Vol. 26, pp. 80-90
Closed Access | Times Cited: 12
Substructural Regularization With Data-Sensitive Granularity for Sequence Transfer Learning
Shichang Sun, Hongbo Liu, Jiana Meng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 6, pp. 2545-2557
Closed Access | Times Cited: 11
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
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