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Cited by in F6Publishing
For: Shi Q, Zhang Z, Yang Y, Shan X, Salam B, Lee C. Artificial Intelligence of Things (AIoT) Enabled Floor Monitoring System for Smart Home Applications. ACS Nano 2021. [PMID: 34723468 DOI: 10.1021/acsnano.1c07579] [Cited by in Crossref: 18] [Cited by in F6Publishing: 20] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Dong K. Triboelectric Nanogenerators as Sensing for Smart Home. Handbook of Triboelectric Nanogenerators 2023. [DOI: 10.1007/978-3-031-05722-9_45-1] [Reference Citation Analysis]
2 Zhang R. Triboelectric Nanogenerators for the Internet of Things. Handbook of Triboelectric Nanogenerators 2023. [DOI: 10.1007/978-3-031-05722-9_22-1] [Reference Citation Analysis]
3 Peng Z, Xiao X, Song J, Libanori A, Lee C, Chen K, Gao Y, Fang Y, Wang J, Wang Z, Chen J, Leung MKH. Improving Relative Permittivity and Suppressing Dielectric Loss of Triboelectric Layers for High-Performance Wearable Electricity Generation. ACS Nano 2022;16:20251-62. [PMID: 36520674 DOI: 10.1021/acsnano.2c05820] [Reference Citation Analysis]
4 Huo X, Wei X, Wang B, Cao X, Xu J, Yin J, Wu Z, Wang ZL. Intelligent electronic passworded locker with unique and personalized security barriers for home security. Nano Res 2022. [DOI: 10.1007/s12274-022-5321-3] [Reference Citation Analysis]
5 . Artificial Intelligence Algorithm for Flexible Sensors. Flexible Piezoelectric Energy Harvesters and Sensors 2022. [DOI: 10.1002/9783527833115.ch11] [Reference Citation Analysis]
6 Yin J, Huo X, Cao X, Li R, Zhou Y, Jiang T, Wang L, Wu Z, Wang ZL. Intelligent Electronic Password Locker Based on the Mechanoluminescence Effect for Smart Home. ACS Materials Lett 2022. [DOI: 10.1021/acsmaterialslett.2c01009] [Reference Citation Analysis]
7 Wang L, Hu M, Kong K, Tao J, Ji K, Dai Z. A deep-learning-assisted versatile electret sensor for moving object detection. Nano Energy 2022;104:107934. [DOI: 10.1016/j.nanoen.2022.107934] [Reference Citation Analysis]
8 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]
9 Xiong Y, Luo L, Yang J, Han J, Liu Y, Jiao H, Wu S, Cheng L, Feng Z, Sun J, Wang ZL, Sun Q. Scalable Spinning, Winding, and Knitting Graphene Textile TENG for Energy Harvesting and Human Motion Recognition. Nano Energy 2022. [DOI: 10.1016/j.nanoen.2022.108137] [Reference Citation Analysis]
10 Rashid A, Zubair U, Ashraf M, Javid A, Abid HA, Akram S. Flexible piezoelectric coatings on textiles for energy harvesting and autonomous sensing applications: a review. J Coat Technol Res 2022. [DOI: 10.1007/s11998-022-00690-2] [Reference Citation Analysis]
11 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]
12 Chen J, Ren Y, Xiang H, Jiang X, Yang X, Guo H. A self-powered human-pet interaction system enabled by triboelectric nanogenerator functionalized pet-leash. Nano Energy 2022;101:107597. [DOI: 10.1016/j.nanoen.2022.107597] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
13 Gong X, Huang K, Wu Y, Zhang X. Recent progress on screen-printed flexible sensors for human health monitoring. Sensors and Actuators A: Physical 2022;345:113821. [DOI: 10.1016/j.sna.2022.113821] [Reference Citation Analysis]
14 Zhou H, Huang W, Xiao Z, Zhang S, Li W, Hu J, Feng T, Wu J, Zhu P, Mao Y. Deep‐Learning‐Assisted Noncontact Gesture‐Recognition System for Touchless Human‐Machine Interfaces. Adv Funct Materials. [DOI: 10.1002/adfm.202208271] [Reference Citation Analysis]
15 Konings D, Alam F, Faulkner N, de Jong C. Identity and Gender Recognition Using a Capacitive Sensing Floor and Neural Networks. Sensors 2022;22:7206. [DOI: 10.3390/s22197206] [Reference Citation Analysis]
16 Sun Z, Zhu M, Shan X, Lee C. Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions. Nat Commun 2022;13:5224. [PMID: 36064838 DOI: 10.1038/s41467-022-32745-8] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
17 Yang Y, Shi Q, Zhang Z, Shan X, Salam B, Lee C. Robust triboelectric information‐mat enhanced by multi‐modality deep learning for smart home. InfoMat. [DOI: 10.1002/inf2.12360] [Reference Citation Analysis]
18 Shi Q, Yang Y, Sun Z, Lee C. Progress of Advanced Devices and Internet of Things Systems as Enabling Technologies for Smart Homes and Health Care. ACS Mater Au 2022;2:394-435. [DOI: 10.1021/acsmaterialsau.2c00001] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
19 Sasikumar A, Ravi L, Kotecha K, Saini JR, Varadarajan V, Subramaniyaswamy V, Kumar A. Sustainable Smart Industry: A Secure and Energy Efficient Consensus Mechanism for Artificial Intelligence Enabled Industrial Internet of Things. Computational Intelligence and Neuroscience 2022;2022:1-12. [DOI: 10.1155/2022/1419360] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
20 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]
21 Alagumalai A, Shou W, Mahian O, Aghbashlo M, Tabatabaei M, Wongwises S, Liu Y, Zhan J, Torralba A, Chen J, Wang Z, Matusik W. Self-powered sensing systems with learning capability. Joule 2022. [DOI: 10.1016/j.joule.2022.06.001] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Wang L, Fei Z, Qi Y, Zhang C, Zhao L, Jiang Z, Maeda R. Overview of Human Kinetic Energy Harvesting and Application. ACS Appl Energy Mater . [DOI: 10.1021/acsaem.2c00703] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Wei X, Wang B, Wu Z, Wang ZL. An Open-Environment Tactile Sensing System: Toward Simple and Efficient Material Identification. Adv Mater 2022;:e2203073. [PMID: 35578973 DOI: 10.1002/adma.202203073] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
24 Zhang Z, Wen F, Sun Z, Guo X, He T, Lee C. Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin. Advanced Intelligent Systems. [DOI: 10.1002/aisy.202100228] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 8.0] [Reference Citation Analysis]
25 Yao L, Zhou Z, Zhang Z, Du X, Zhang Q, Yang H. Dyeing-Inspired Sustainable and Low-Cost Modified Cellulose-Based TENG for Energy Harvesting and Sensing. ACS Sustainable Chem Eng 2022;10:3909-19. [DOI: 10.1021/acssuschemeng.1c08095] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
26 Zhang J, Yao H, Zhang Y, Jiang W, Wu Y, Zhang Y, Ao T, Zheng H; School of Physics and Electronics, Henan University, Kaifeng 475001, China, Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, China, School of Artificial Intelligence, Henan University, Zhengzhou 475001, China. . Acta Phys Sin 2022;71:078702. [DOI: 10.7498/aps.71.20211632] [Reference Citation Analysis]