The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
UV assisted ultrasensitive trace NO2gas sensing based on few-layer MoS2nanosheet–ZnO nanowire heterojunctions at room temperature
Abstract
MoS 2–ZnO p–n heterojunctions are employed to sensitively detect trace NO 2 gas under UV illumination at room temperature.
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Citations
Cites
Zhou, W., Yin, Z., Du, Y., Huang, X., Zeng, Z., Fan, Z., Liu, H., Wang, J., & Zhang, H. (2013) · Small · doi:10.1002/smll.201201161 · Cited by 1,258
High Surface Area MoS 2 /Graphene Hybrid Aerogel for Ultrasensitive NO 2 Detection
Long, H., Harley‐Trochimczyk, A., Pham, T., Tang, Z., Shi, T., Zettl, A., Carraro, C., Worsley, M. A., & Maboudian, R. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201601562 · Cited by 479
Cited by
Functional gas sensing nanomaterials: A panoramic view
Malik, R., Tomer, V. K., Mishra, Y. K., & Lin, L. (2020) · Applied Physics Reviews · doi:10.1063/1.5123479 · Cited by 410
Metadata
- Authors
- Zhou, Y., Gao, C., & Guo, Y.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 6
- Issue
- 22
- Pages
- 10286-10296
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2801401136
- Cited by
- 291
- References
- 2
- FWCI
- 13.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: UV assisted ultrasensitive trace NO2gas sensing based on few-layer MoS2nanosheet–ZnO nanowire heterojunctions at room temperature. https://app.cochat.ai/papers/10.1039/c8ta02679c
- The paper
- Zhou, Y., Gao, C., & Guo, Y. (2018). UV assisted ultrasensitive trace NO2gas sensing based on few-layer MoS2nanosheet–ZnO nanowire heterojunctions at room temperature. Journal of Materials Chemistry A. https://doi.org/10.1039/c8ta02679c
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
