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Cited by in F6Publishing
For: Zhang Q, Bu X, Zhang M, Zhang Z, Hu J. Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration. Artif Intell Rev 2021;54:27-61. [DOI: 10.1007/s10462-020-09871-0] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Xu J, Wang R, Liang Z, Liu P, Gao J, Wang Z. Physics‐data‐fusion based decoupling model for coupled faults of complex electromechanical systems. Quality & Reliability Eng 2022. [DOI: 10.1002/qre.3232] [Reference Citation Analysis]
2 Shi H, Liu H, Wang J, Mou X. New Linguistic Z-Number Petri Nets for Knowledge Acquisition and Representation Under Large Group Environment. Int J Fuzzy Syst . [DOI: 10.1007/s40815-022-01341-9] [Reference Citation Analysis]
3 Zhu Y, Guo W, Liu H. Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment. Applied Sciences 2022;12:4670. [DOI: 10.3390/app12094670] [Reference Citation Analysis]
4 Zhang Z, Jiao Y, Zhang M, Wei B, Liu X, Zhao J, Tian F, Hu J, Zhang Q. AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification. Artif Intell Rev. [DOI: 10.1007/s10462-021-10109-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Yao Q, Yang B, Zhang Q. Dynamic Uncertain Causality Graph Applied to the Intelligent Evaluation of a Shale-Gas Sweet Spot. Energies 2021;14:5228. [DOI: 10.3390/en14175228] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Nie H, Zhang Q. Optimization for Logic Operation Problem in Stochastic Simulation of Dynamic Causality Uncertain Graph. 2021 3rd International Conference on Applied Machine Learning (ICAML) 2021. [DOI: 10.1109/icaml54311.2021.00029] [Reference Citation Analysis]
7 Nie H, Zhang Q. Incomplete Relationship in Sampling Inference Algorithm of Dynamic Uncertain Causality Graph. 2021 3rd International Conference on Applied Machine Learning (ICAML) 2021. [DOI: 10.1109/icaml54311.2021.00030] [Reference Citation Analysis]
8 Nie H, Zhang Q. A New Inference Algorithm of Dynamic Uncertain Causality Graph Based on Conditional Sampling Method for Complex Cases. IEEE Access 2021;9:94523-36. [DOI: 10.1109/access.2021.3093205] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
9 Deng N, Zhang Q. Towards Dynamic Uncertain Causality Graphs for the Intelligent Diagnosis and Treatment of Hepatitis B. Symmetry 2020;12:1690. [DOI: 10.3390/sym12101690] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]