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Cited by in F6Publishing

For:	Wang Y, Hu Z, Wang J, Liu X, Shi Q, Wang Y, Qiao L, Li Y, Yang H, Liu J, Zhou L, Yang Z, Lee C, Xu M. Deep Learning-Assisted Triboelectric Smart Mats for Personnel Comprehensive Monitoring toward Maritime Safety. ACS Appl Mater Interfaces 2022;14:24832-9. [PMID: 35593366 DOI: 10.1021/acsami.2c05734] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Wang Y, Hu Z, Wang J, Liu X, Shi Q, Wang Y, Qiao L, Li Y, Yang H, Liu J, Zhou L, Yang Z, Lee C, Xu M. Deep Learning-Assisted Triboelectric Smart Mats for Personnel Comprehensive Monitoring toward Maritime Safety. ACS Appl Mater Interfaces 2022;14:24832-9. [PMID: 35593366 DOI: 10.1021/acsami.2c05734] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Akram W, Chen Q, Xia G, Fang J. A review of single electrode triboelectric nanogenerators. Nano Energy 2023;106:108043. [DOI: 10.1016/j.nanoen.2022.108043] [Reference Citation Analysis]
2	Divya S, Panda S, Hajra S, Jeyaraj R, Paul A, Park SH, Kim HJ, Oh TH. Smart data processing for energy harvesting systems using artificial intelligence. Nano Energy 2022. [DOI: 10.1016/j.nanoen.2022.108084] [Reference Citation Analysis]
3	Yang Y, Guo X, Zhu M, Sun Z, Zhang Z, He T, Lee C. Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth. Advanced Energy Materials 2022. [DOI: 10.1002/aenm.202203040] [Reference Citation Analysis]