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:

The roots of granular computing
A Bargiela, Witold Pedrycz
(2006), pp. 806-809
Closed Access | Times Cited: 108

Showing 26-50 of 108 citing articles:

Towards a granular computing approach based on Formal Concept Analysis for discovering periodicities in data
Vincenzo Loia, Francesco Orciuoli, Witold Pedrycz
Knowledge-Based Systems (2018) Vol. 146, pp. 1-11
Closed Access | Times Cited: 32

Integrative Levels of Granularity
Yiyu Yao
Studies in computational intelligence (2009), pp. 31-47
Closed Access | Times Cited: 33

Concept-cognitive computing system for dynamic classification
Yunlong Mi, Pei Quan, Yong Shi, et al.
European Journal of Operational Research (2021) Vol. 301, Iss. 1, pp. 287-299
Closed Access | Times Cited: 18

Three Perspectives of Granular Computing
Yiyu Yao
(2008)
Closed Access | Times Cited: 33

Unification of Evidence-Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features
Mayank Vatsa, Richa Singh, Afzel Noore
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans (2008) Vol. 39, Iss. 1, pp. 47-56
Closed Access | Times Cited: 33

An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems
Di Wang, Xiao‐Jun Zeng, John Keane
IEEE Transactions on Fuzzy Systems (2011) Vol. 19, Iss. 6, pp. 1127-1140
Closed Access | Times Cited: 28

Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach and Type-2 Fuzzy Logic
Leticia Cervantes, Oscar Castillo, Patricia Melín
Lecture notes in computer science (2011), pp. 1-12
Closed Access | Times Cited: 27

Image matting in the perception granular deep learning
Hong Hu, Liang Pang, Zhongzhi Shi
Knowledge-Based Systems (2016) Vol. 102, pp. 51-63
Closed Access | Times Cited: 21

Multi-level cognitive concept learning method oriented to data sets with fuzziness: a perspective from features
Eric C.C. Tsang, Bingjiao Fan, Degang Chen, et al.
Soft Computing (2019) Vol. 24, Iss. 5, pp. 3753-3770
Closed Access | Times Cited: 20

PERFORMANCE ANALYSIS OF GRANULAR COMPUTING MODEL IN SOFT COMPUTING PARADIGM FOR MONITORING OF FETAL ECHOCARDIOGRAPHY
A. Sathesh
Journal of Soft Computing Paradigm (2019) Vol. 2019, Iss. 1, pp. 14-23
Open Access | Times Cited: 20

Modular granular neural networks optimization with Multi-Objective Hierarchical Genetic Algorithm for human recognition based on iris biometric
Daniela Sánchez, Patricia Melín, Oscar Castillo, et al.
(2013), pp. 772-778
Closed Access | Times Cited: 20

Structured Writing with Granular Computing Strategies
Hui Wang, Zhiwei Lin
2007 IEEE International Conference on Granular Computing (GRC 2007) (2007), pp. 72-72
Closed Access | Times Cited: 24

Perception granular computing in visual haze-free task
Hong Hu, Liang Pang, Dongping Tian, et al.
Expert Systems with Applications (2013) Vol. 41, Iss. 6, pp. 2729-2741
Closed Access | Times Cited: 17

Information granules in image histogram analysis
Wojciech Więcławek
Computerized Medical Imaging and Graphics (2017) Vol. 65, pp. 129-141
Closed Access | Times Cited: 16

Granular filter in medical image noise suppression and edge preservation
Wojciech Więcławek, Ewa Piętka
Journal of Applied Biomedicine (2018) Vol. 39, Iss. 1, pp. 1-16
Closed Access | Times Cited: 16

A granular neural network: Performance analysis and application to re-granulation
Scott Dick, Andrew F. Tappenden, Curtis Badke, et al.
International Journal of Approximate Reasoning (2013) Vol. 54, Iss. 8, pp. 1149-1167
Open Access | Times Cited: 16

Approximation of Sets Based on Partial Covering
Zoltán Ernő Csajbók
Lecture notes in computer science (2013), pp. 144-220
Closed Access | Times Cited: 15

Comparative Study of Type-1 and Type-2 Fuzzy Systems for the Three-Tank Water Control Problem
Leticia Cervantes, Oscar Castillo, Patricia Melín, et al.
Lecture notes in computer science (2013), pp. 362-373
Closed Access | Times Cited: 14

Modular Neural Networks Optimization with Hierarchical Genetic Algorithms with Fuzzy Response Integration for Pattern Recognition
Daniela Sánchez, Patricia Melín, Oscar Castillo, et al.
Lecture notes in computer science (2013), pp. 247-258
Closed Access | Times Cited: 11

Evaluation of residential land use compatibilities using a density-based IOWA operator and an ANFIS-based model: A case study of Tehran, Iran
Parham Pahlavani, Hossein Sheikhian, Behnaz Bigdeli
Land Use Policy (2019) Vol. 90, pp. 104364-104364
Closed Access | Times Cited: 11

Exploiting Cliques for Granular Computing-based Graph Classification
Luca Baldini, Alessio Martino, Antonello Rizzi
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-9
Open Access | Times Cited: 11

Approximation of sets based on partial covering
Zoltán Ernő Csajbók
Theoretical Computer Science (2011) Vol. 412, Iss. 42, pp. 5820-5833
Open Access | Times Cited: 10

Research on the Maximum Flow in Large-scale Network
Yanping Zhang, Bo Hua, Juan Jiang, et al.
(2011)
Closed Access | Times Cited: 10

On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition
Alessio Martino, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 8

An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification
Alessio Martino, Antonello Rizzi
IEEE Access (2021) Vol. 9, pp. 15426-15440
Open Access | Times Cited: 8

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