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Removal of hazardous organics from water using metal-organic frameworks (MOFs): Plausible mechanisms for selective adsorptions
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Citations
Cited by
Adsorption kinetic models: Physical meanings, applications, and solving methods
Wang, J., & Guo, X. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2020.122156 · Cited by 2,937
Metal–organic frameworks for heavy metal removal from water
Kobielska, P. A., Howarth, A. J., Farha, O. K., & Nayak, S. (2018) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2017.12.010 · Cited by 1,014
Water Purification by Using Adsorbents: A Review
Singh, N. B., Nagpal, G., Agrawal, S., & Rachna (2018) · Environmental Technology & Innovation · doi:10.1016/j.eti.2018.05.006 · Cited by 962
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
Porous Polymers as Multifunctional Material Platforms toward Task‐Specific Applications
Wu, J., Xu, F., Li, S., Ma, P., Zhang, X., Liu, Q., Fu, R., & Wu, D. (2019) · Advanced Materials · doi:10.1002/adma.201802922 · Cited by 555
Metadata
- Authors
- Hasan, Z., & Jhung, S. H.
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 283
- Pages
- 329-339
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W2051713066
- Cited by
- 1,428
- References
- 0
- FWCI
- 32.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Removal of hazardous organics from water using metal-organic frameworks (MOFs): Plausible mechanisms for selective adsorptions. https://app.cochat.ai/papers/10.1016/j.jhazmat.2014.09.046
- The paper
- Hasan, Z., & Jhung, S. H. (2015). Removal of hazardous organics from water using metal-organic frameworks (MOFs): Plausible mechanisms for selective adsorptions. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2014.09.046
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.