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Cited by in F6Publishing
For: Xia J, Zhang H, Li R, Chen H, Turabieh H, Mafarja M, Pan Z. Generalized Oppositional Moth Flame Optimization with Crossover Strategy: An Approach for Medical Diagnosis. J Bionic Eng 2021;18:991-1010. [DOI: 10.1007/s42235-021-0068-1] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Sahoo SK, Saha AK, Ezugwu AE, Agushaka JO, Abuhaija B, Alsoud AR, Abualigah L. Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications. Arch Comput Methods Eng 2023;30:391-426. [PMID: 36059575 DOI: 10.1007/s11831-022-09801-z] [Reference Citation Analysis]
2 Raziani S, Ahmadian S, Jalali SMJ, Chalechale A. An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems. J Bionic Eng. [DOI: 10.1007/s42235-022-00216-x] [Reference Citation Analysis]
3 Wang M, Liang Y, Hu Z, Chen S, Shi B, Heidari AA, Zhang Q, Chen H, Chen X. Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines. Comput Biol Med 2022;145:105435. [PMID: 35397339 DOI: 10.1016/j.compbiomed.2022.105435] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
4 Xia J, Wang Z, Yang D, Li R, Liang G, Chen H, Heidari AA, Turabieh H, Mafarja M, Pan Z. Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. Comput Biol Med 2022;143:105206. [PMID: 35101730 DOI: 10.1016/j.compbiomed.2021.105206] [Cited by in Crossref: 27] [Cited by in F6Publishing: 23] [Article Influence: 27.0] [Reference Citation Analysis]
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