Graphene-based materials for capacitive deionization

By Peiying Liu, Tingting Yan, Liyi Shi, H. Park, Xuecheng Chen, Zhigang Zhao, Dengsong Zhang. 2017

245 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1944462e01ce9afd72f7468d06296a0c2505d8fb

How researchers see this paper

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

In Biomedical Engineering

1. Guangming Zeng
2. Jilai Gong
3. Wangwang Tang

In Electrical and Electronic Engineering

1. Guangming Zeng

Citations in the corpus

• Various cell architectures of capacitive deionization: Recent advances and future trends. (2019, background): “…flowby CDI andMCDI have proven the ability to remove various types of ionic pollutants including heavy metals (e.g., Cu(II) (Huang et al., 2014; Liu et al., 2017a), Cr(III) (Huang et al., 2016), Cr(VI) (Hou et al., 2018; Liu et al., 2011), Pb(II) (Liu et al., 2017c; Yang et al., 2014), Cd(II)…”