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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:

Outlier Detection Based on Granular Computing
Yumin Chen, Duoqian Miao, Ruizhi Wang
Lecture notes in computer science (2008), pp. 283-292
Closed Access | Times Cited: 21

Showing 21 citing articles:

Initialization of K-modes clustering using outlier detection techniques
Feng Jiang, Guozhu Liu, Junwei Du, et al.
Information Sciences (2015) Vol. 332, pp. 167-183
Closed Access | Times Cited: 103
Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures
Zhong Yuan, Xianyong Zhang, Feng Shan
Expert Systems with Applications (2018) Vol. 112, pp. 243-257
Closed Access | Times Cited: 91
Outlier Detection Based on Fuzzy Rough Granules in Mixed Attribute Data
Zhong Yuan, Hongmei Chen, Tianrui Li, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 8, pp. 8399-8412
Closed Access | Times Cited: 55
Outlier Detection Using Three-Way Neighborhood Characteristic Regions and Corresponding Fusion Measurement
Xianyong Zhang, Zhong Yuan, Duoqian Miao
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 5, pp. 2082-2095
Closed Access | Times Cited: 32
Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection
Zhong Yuan, Hongmei Chen, Tianrui Li, et al.
Fuzzy Sets and Systems (2020) Vol. 421, pp. 1-28
Closed Access | Times Cited: 58
Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets
Baiyang Chen, Zhong Yuan, Dezhong Peng, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112070-112070
Closed Access | Times Cited: 5
Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection
Alessia Albanese, Sankar K. Pal, Alfredo Petrosino
IEEE Transactions on Knowledge and Data Engineering (2012) Vol. 26, Iss. 1, pp. 194-207
Closed Access | Times Cited: 71
Outlier detection based on granular computing and rough set theory
Feng Jiang, Yumin Chen
Applied Intelligence (2014) Vol. 42, Iss. 2, pp. 303-322
Closed Access | Times Cited: 53
Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules
Adam Kiersztyn, Paweł Karczmarek, Krystyna Kiersztyn, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 8, pp. 2850-2860
Closed Access | Times Cited: 28
Multigranulation Relative Entropy-Based Mixed Attribute Outlier Detection in Neighborhood Systems
Zhong Yuan, Hongmei Chen, Tianrui Li, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 8, pp. 5175-5187
Closed Access | Times Cited: 27
Fusing multi-scale fuzzy information to detect outliers
Baiyang Chen, Yongxiang Li, Dezhong Peng, et al.
Information Fusion (2023) Vol. 103, pp. 102133-102133
Closed Access | Times Cited: 9
The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules
Adam Kiersztyn, Paweł Karczmarek, Krystyna Kiersztyn, et al.
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2020), pp. 1-7
Closed Access | Times Cited: 19
A hybrid approach to outlier detection based on boundary region
Feng Jiang, Yuefei Sui, Cungen Cao
Pattern Recognition Letters (2011) Vol. 32, Iss. 14, pp. 1860-1870
Closed Access | Times Cited: 21
A relative granular ratio-based outlier detection method in heterogeneous data
Lu Gao, Mingjie Cai, Qingguo Li
Information Sciences (2022) Vol. 622, pp. 710-731
Closed Access | Times Cited: 9
Kernelized Fuzzy-Rough Anomaly Detection
Wu Yan, Sihan Wang, Hongmei Chen, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 8, pp. 4285-4296
Closed Access | Times Cited: 1
A Rough Set Approach to Spatio-temporal Outlier Detection
Alessia Albanese, Sankar K. Pal, Alfredo Petrosino
Lecture notes in computer science (2011), pp. 67-74
Closed Access | Times Cited: 9
Soft granular computing based classification using hybrid fuzzy-KNN-SVM
Mrutyunjaya Panda, Ajith Abraham, B. K. Tripathy
Intelligent Decision Technologies (2016) Vol. 10, Iss. 2, pp. 115-128
Closed Access | Times Cited: 7
A data mining approach to improve the automated quality of data
Nawaf Alkharboush
(2014)
Closed Access | Times Cited: 2
A survey on evolutionary machine learning algorithms for multi-dimensional data classification
C Swapna, R. S. Shaji
(2015), pp. 781-785
Closed Access | Times Cited: 1
Rough K-means Outlier Factor Based on Entropy Computation
Djoko Budiyanto Setyohadi, Azuraliza Abu Bakar, Zulaiha Ali Othman
Research Journal of Applied Sciences Engineering and Technology (2014) Vol. 8, Iss. 3, pp. 398-409
Open Access
In-depth feature selection for continuous data classification with granule mining
Nayomi Dulanjala Sewwandi Mahawaga Arachchige
(2023)
Open Access
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