The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Green synthesis of iron nanoparticles and their application as a Fenton-like catalyst for the degradation of aqueous cationic and anionic dyes
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Citations
Cites
Spectrometric Identification of Organic Compounds
Silverstein, R. M., & Bassler, G. C. (1962) · Journal of Chemical Education · doi:10.1021/ed039p546 · Cited by 14,272
Shu, H.-Y., Chang, M.-C., Chen, C.-C., & Chen, P.-E. (2010) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2010.08.064 · Cited by 194
Cited by
Green synthesis of nanoparticles: Current developments and limitations
Ying, S., Guan, Z., Ofoegbu, P. C., Clubb, P., Rico, C., He, F., & Hong, J. (2022) · Environmental Technology & Innovation · doi:10.1016/j.eti.2022.102336 · Cited by 1,677
Remediation of wastewater using various nano-materials
Anjum, M., Miandad, R., Waqas, M., Gehany, F., & Barakat, M. A. (2019) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2016.10.004 · Cited by 779
Nanocatalysts and other nanomaterials for water remediation from organic pollutants
Lu, F., & Astruc, D. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213180 · Cited by 682
Truskewycz, A., Shukla, R., & Ball, A. S. (2016) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2016.10.008 · Cited by 69
Metadata
- Authors
- Shahwan, T., Abu Sirriah, S., Nairat, M., Boyacı, E., Eroğlu, A. E., Scott, T. B., & Hallam, K. R.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 172
- Issue
- 1
- Pages
- 258-266
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W2099148329
- Cited by
- 813
- References
- 2
- FWCI
- 14.78
- Type
- journal article
- Language
- en
- Open access
- green
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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.
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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.