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Cited by in F6Publishing
For: Dei M, Aymerich J, Piotto M, Bruschi P, del Campo F, Serra-graells F. CMOS Interfaces for Internet-of-Wearables Electrochemical Sensors: Trends and Challenges. Electronics 2019;8:150. [DOI: 10.3390/electronics8020150] [Cited by in Crossref: 9] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Gagliardi F, Manfredini G, Ria A, Piotto M, Bruschi P. Low-Phase-Noise CMOS Relaxation Oscillators for On-Chip Timing of IoT Sensing Platforms. Electronics 2022;11:1794. [DOI: 10.3390/electronics11111794] [Reference Citation Analysis]
2 Zeng X, Peng R, Fan Z, Lin Y. Self-powered and wearable biosensors for healthcare. Materials Today Energy 2022;23:100900. [DOI: 10.1016/j.mtener.2021.100900] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
3 Jeerapan I, Poorahong S. Review—Flexible and Stretchable Electrochemical Sensing Systems: Materials, Energy Sources, and Integrations. J Electrochem Soc 2020;167:037573. [DOI: 10.1149/1945-7111/ab7117] [Cited by in Crossref: 31] [Cited by in F6Publishing: 10] [Article Influence: 15.5] [Reference Citation Analysis]
4 Sherratt RS, Dey N. Low-Power Wearable Healthcare Sensors. Electronics 2020;9:892. [DOI: 10.3390/electronics9060892] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
5 Shrivastava S, Trung TQ, Lee NE. Recent progress, challenges, and prospects of fully integrated mobile and wearable point-of-care testing systems for self-testing. Chem Soc Rev 2020;49:1812-66. [PMID: 32100760 DOI: 10.1039/c9cs00319c] [Cited by in Crossref: 72] [Cited by in F6Publishing: 19] [Article Influence: 36.0] [Reference Citation Analysis]
6 Ria A, Catania A, Bruschi P, Piotto M. A Low-Power CMOS Bandgap Voltage Reference for Supply Voltages Down to 0.5 V. Electronics 2021;10:1901. [DOI: 10.3390/electronics10161901] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Huang Y, Jiao W, Chu Z, Wang S, Chen L, Nie X, Wang R, He X. High Sensitivity, Humidity-Independent, Flexible NO2 and NH3 Gas Sensors Based on SnS2 Hybrid Functional Graphene Ink. ACS Appl Mater Interfaces 2020;12:997-1004. [PMID: 31825202 DOI: 10.1021/acsami.9b14952] [Cited by in Crossref: 24] [Cited by in F6Publishing: 6] [Article Influence: 12.0] [Reference Citation Analysis]
8 Goh YS, Ow Yong JQY, Chee BQH, Kuek JHL, Ho CSH. Machine Learning in Health Promotion and Behavioral Change: Scoping Review. J Med Internet Res 2022;24:e35831. [PMID: 35653177 DOI: 10.2196/35831] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]