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For: Zhao S, Wang P, Heidari AA, Chen H, Turabieh H, Mafarja M, Li C. Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease. Comput Biol Med 2021;134:104427. [PMID: 34020128 DOI: 10.1016/j.compbiomed.2021.104427] [Cited by in Crossref: 37] [Cited by in F6Publishing: 42] [Article Influence: 18.5] [Reference Citation Analysis]
Number Citing Articles
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16 Xu Z, Asghar Heidari A, Kuang F, Khalil A, Mafarja M, Zhang S, Chen H, Pan Z. Enhanced Gaussian Bare-Bones Grasshopper Optimization: Mitigating the Performance Concerns for Feature Selection. Expert Systems with Applications 2022. [DOI: 10.1016/j.eswa.2022.118642] [Reference Citation Analysis]
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19 Qi A, Zhao D, Yu F, Heidari AA, Wu Z, Cai Z, Alenezi F, Mansour RF, Chen H, Chen M. Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation. Comput Biol Med 2022;148:105810. [PMID: 35868049 DOI: 10.1016/j.compbiomed.2022.105810] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 16.0] [Reference Citation Analysis]
20 Miao H, Qiu Z, Zeng C. Multi-Strategy Improved Slime Mould Algorithm and its Application in Optimal Operation of Cascade Reservoirs. Water Resour Manage 2022;36:3029-48. [DOI: 10.1007/s11269-022-03183-4] [Reference Citation Analysis]
21 Yin S, Luo Q, Zhou G, Zhou Y, Zhu B. An equilibrium optimizer slime mould algorithm for inverse kinematics of the 7-DOF robotic manipulator. Sci Rep 2022;12. [DOI: 10.1038/s41598-022-13516-3] [Reference Citation Analysis]
22 Jin J, Fan J. Threshold Selection on Circular Histogram Using Renyi Entropy. Proceedings of the 4th International Symposium on Signal Processing Systems 2022. [DOI: 10.1145/3532342.3532351] [Reference Citation Analysis]
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25 Chen X, Huang H, Heidari AA, Sun C, Lv Y, Gui W, Liang G, Gu Z, Chen H, Li C, Chen P. An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images. Computers in Biology and Medicine 2022;142:105179. [DOI: 10.1016/j.compbiomed.2021.105179] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 12.0] [Reference Citation Analysis]
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29 Hu J, Gui W, Heidari AA, Cai Z, Liang G, Chen H, Pan Z. Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection. Knowledge-Based Systems 2022;237:107761. [DOI: 10.1016/j.knosys.2021.107761] [Cited by in Crossref: 34] [Cited by in F6Publishing: 25] [Article Influence: 34.0] [Reference Citation Analysis]
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31 Gao H, Liang G, Chen H. Multi-Population Enhanced Slime Mould Algorithm and with Application to Postgraduate Employment Stability Prediction. Electronics 2022;11:209. [DOI: 10.3390/electronics11020209] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
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33 Su H, Zhao D, Yu F, Heidari AA, Zhang Y, Chen H, Li C, Pan J, Quan S. Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images. Comput Biol Med 2022;142:105181. [PMID: 35016099 DOI: 10.1016/j.compbiomed.2021.105181] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 28.0] [Reference Citation Analysis]
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35 Chen C, Wang X, Heidari AA, Yu H, Chen H. Multi-Threshold Image Segmentation of Maize Diseases Based on Elite Comprehensive Particle Swarm Optimization and Otsu. Front Plant Sci 2021;12:789911. [PMID: 34966405 DOI: 10.3389/fpls.2021.789911] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
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39 Zhang Q, Wang Z, Heidari AA, Gui W, Shao Q, Chen H, Zaguia A, Turabieh H, Chen M. Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study. Comput Biol Med 2021;139:104941. [PMID: 34801864 DOI: 10.1016/j.compbiomed.2021.104941] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 9.5] [Reference Citation Analysis]
40 Zhao S, Wang P, Heidari AA, Chen H, He W, Xu S. Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy. Comput Biol Med 2021;139:105015. [PMID: 34800808 DOI: 10.1016/j.compbiomed.2021.105015] [Cited by in Crossref: 14] [Cited by in F6Publishing: 20] [Article Influence: 7.0] [Reference Citation Analysis]
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42 Weng X, Heidari AA, Liang G, Chen H, Ma X. An evolutionary Nelder–Mead slime mould algorithm with random learning for efficient design of photovoltaic models. Energy Reports 2021;7:8784-804. [DOI: 10.1016/j.egyr.2021.11.019] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
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45 Zhao F, Liu F, Li C, Liu H, Lan R, Fan J. Coarse–fine surrogate model driven multiobjective evolutionary fuzzy clustering algorithm with dual memberships for noisy image segmentation. Applied Soft Computing 2021;112:107778. [DOI: 10.1016/j.asoc.2021.107778] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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47 Liu L, Zhao D, Yu F, Heidari AA, Ru J, Chen H, Mafarja M, Turabieh H, Pan Z. Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Comput Biol Med 2021;138:104910. [PMID: 34638022 DOI: 10.1016/j.compbiomed.2021.104910] [Cited by in Crossref: 23] [Cited by in F6Publishing: 30] [Article Influence: 11.5] [Reference Citation Analysis]
48 Wang S, Liu Q, Liu Y, Jia H, Abualigah L, Zheng R, Wu D. A Hybrid SSA and SMA with Mutation Opposition-Based Learning for Constrained Engineering Problems. Comput Intell Neurosci 2021;2021:6379469. [PMID: 34531910 DOI: 10.1155/2021/6379469] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 11.0] [Reference Citation Analysis]
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51 Shi B, Ye H, Zheng J, Zhu Y, Heidari AA, Zheng L, Chen H, Wang L, Wu P. Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making. IEEE Access 2021;9:121996-2015. [DOI: 10.1109/access.2021.3108447] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]