Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model

By Dongzhi Zhang, Jingjing Liu, Chuanxing Jiang, Aiming Liu, Bokai Xia. 2017

331 citations recorded by the source corpus.

Subfields: Bioengineering, Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/386abe6183d0172826c8c25ed2e2eb100907295d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Bioengineering

1. Maurizio Donarelli
2. Luca Ottaviano

In Biomedical Engineering

1. Maurizio Donarelli
2. Luca Ottaviano

In Electrical and Electronic Engineering

1. Maurizio Donarelli
2. Luca Ottaviano

Citations in the corpus

• 2D Materials for Gas Sensing Applications: A Review on Graphene Oxide, MoS2, WS2 and Phosphorene (2018, background): “Finally, some authors proposed the fabrication of a gas sensors array, constituted by a SnO2 nanospheres-rGO and CuO nanoflowers-rGO resistive sensors for the selective detection of NH3 and formaldehyde at RT [148].”