The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Hydrogen Sensing Using Pd‐Functionalized Multi‐Layer Graphene Nanoribbon Networks
Abstract
Hydrogen sensors from Pd-functionalized multi-layer graphene nanoribbon networks are fabricated. The fabrication method of these networks is simple, low cost, and scalable, and their high specific surface area facilitates efficient functionalization and gas adsorption. These networks show high sensitivity to hydrogen at parts-per-million concentration levels at room temperature with a fast response and recovery time.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Raman Spectrum of Graphene and Graphene Layers
Ferrari, A. C., Meyer, J. C., Scardaci, V., Casiraghi, C., Lazzeri, M., Mauri, F., Piscanec, S., Jiang, D., Novoselov, K. S., Roth, S., et al. (2006) · Physical Review Letters · doi:10.1103/physrevlett.97.187401 · Cited by 15,047
Detection of individual gas molecules adsorbed on graphene
Schedin, F., Geim, A. K., Morozov, S. V., Hill, E. W., Blake, P., Katsnelson, M. I., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1967 · Cited by 8,028
Chemical methods for the production of graphenes
Park, S., & Ruoff, R. S. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.58 · Cited by 6,663
Nanotube Molecular Wires as Chemical Sensors
Kong, J., Franklin, N. R., Zhou, C., Chapline, M. G., Peng, S., Cho, K., & Dai, H. (2000) · Science · doi:10.1126/science.287.5453.622 · Cited by 6,043
Large Area, Few-Layer Graphene Films on Arbitrary Substrates by Chemical Vapor Deposition
Reina, A., Jia, X., Ho, J., Nezich, D., Son, H., Bulovic, V., Dresselhaus, M. S., & Kong, J. (2009) · Nano Letters · doi:10.1021/nl801827v · Cited by 5,881
Transparent, Conductive Graphene Electrodes for Dye-Sensitized Solar Cells
Wang, X., Zhi, L., & Müllen, K. (2008) · Nano Letters · doi:10.1021/nl072838r · Cited by 4,467
Extreme Oxygen Sensitivity of Electronic Properties of Carbon Nanotubes
Collins, P. G., Bradley, K., Ishigami, M., & Zettl, A. (2000) · Science · doi:10.1126/science.287.5459.1801 · Cited by 2,974
Liquid Phase Production of Graphene by Exfoliation of Graphite in Surfactant/Water Solutions
Lotya, M., Hernandez, Y., King, P. J., Smith, R. J., Nicolosi, V., Karlsson, L. S., Blighe, F. M., De, S., Wang, Z., McGovern, I. T., et al. (2009) · Journal of the American Chemical Society · doi:10.1021/ja807449u · Cited by 2,282
Reduced Graphene Oxide Molecular Sensors
Robinson, J. T., Perkins, F. K., Snow, E. S., Wei, Z., & Sheehan, P. E. (2008) · Nano Letters · doi:10.1021/nl8013007 · Cited by 1,772
Cited by
Graphene‐Based Materials: Synthesis, Characterization, Properties, and Applications
Huang, X., Yin, Z., Wu, S., Qi, X., He, Q., Zhang, Q., Yan, Q., Boey, F., & Zhang, H. (2011) · Small · doi:10.1002/smll.201002009 · Cited by 2,569
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Biological and chemical sensors based on graphene materials
Liu, Y., Dong, X., & Chen, P. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15270j · Cited by 1,748
Graphene-based materials for catalysis
Machado, B. F., & Serp, P. (2012) · Catal. Sci. Technol. · doi:10.1039/c1cy00361e · Cited by 958
A Raman spectroscopic investigation of graphite oxide derived graphene
Kaniyoor, A., & Ramaprabhu, S. (2012) · AIP Advances · doi:10.1063/1.4756995 · Cited by 911
Metadata
- Authors
- Johnson, J. L., Behnam, A., Pearton, S. J., & Ural, A.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2010-08-27
- Volume
- 22
- Issue
- 43
- Pages
- 4877-4880
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2099318645
- Cited by
- 347
- References
- 19
- FWCI
- 19.44
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hydrogen Sensing Using Pd‐Functionalized Multi‐Layer Graphene Nanoribbon Networks. https://app.cochat.ai/papers/10.1002/adma.201001798
- The paper
- Johnson, J. L., Behnam, A., Pearton, S. J., & Ural, A. (2010). Hydrogen Sensing Using Pd‐Functionalized Multi‐Layer Graphene Nanoribbon Networks. Advanced Materials. https://doi.org/10.1002/adma.201001798
Data sources
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.
