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Cited by in F6Publishing
For: Zeng Y, Xu Z, He Y, Rao Y. Fuzzy entropy clustering by searching local border points for the analysis of gene expression data. Knowledge-Based Systems 2020;190:105309. [DOI: 10.1016/j.knosys.2019.105309] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Hu Z, Last M, Hong T, Tyshchenko OK, Kashyap E. A Noise Resistant Credibilistic Fuzzy Clustering Algorithm on a Unit Hypersphere with Illustrations Using Expression Data. Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making 2023. [DOI: 10.1007/978-3-031-16203-9_32] [Reference Citation Analysis]
2 Wang Z, Zhang G, Du H, Ni Y. Improved Affinity Propagation Clustering Based on K-Nearest Neighbors and Canopy Algorithm. Lecture Notes in Electrical Engineering 2022. [DOI: 10.1007/978-981-16-8430-2_40] [Reference Citation Analysis]
3 Liu W, Dinçer H, Eti S, Yüksel S. Gaussian-based hybrid approach to Entropy for analyzing energy efficiency of emerging economies. Energy Reports 2021;7:2501-11. [DOI: 10.1016/j.egyr.2021.04.049] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
4 Rowhanimanesh A. A novel approach for the analysis of time-course gene expression data based on computing with words. J Biomed Inform 2021;120:103868. [PMID: 34271172 DOI: 10.1016/j.jbi.2021.103868] [Reference Citation Analysis]
5 Melin P, Ontiveros-robles E, Castillo O. Proposed Methodology. New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic 2021. [DOI: 10.1007/978-3-030-75097-8_3] [Reference Citation Analysis]