The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Competitive adsorption between atrazine and methylene blue on activated carbon: the importance of pore size distribution
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Citations
Cites
Sing, K. S. W. (1985) · Pure and Applied Chemistry · doi:10.1351/pac198557040603 · Cited by 24,485
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Handbook of Alkali-Activated Cements, Mortars and Concretes
(2015) · Elsevier eBooks · doi:10.1016/c2013-0-16511-7 · Cited by 688
Dye Sequestration Using Agricultural Wastes as Adsorbents
Adegoke, K. A., & Bello, O. S. (2015) · Water Resources and Industry · doi:10.1016/j.wri.2015.09.002 · Cited by 533
Catechol and Humic Acid Sorption onto a Range of Laboratory-Produced Black Carbons (Biochars)
Kasozi, G. N., Zimmerman, A. R., Nkedi-Kizza, P., & Gao, B. (2010) · Environmental Science & Technology · doi:10.1021/es1014423 · Cited by 509
Liu, Q.-S., Zheng, T., Li, N., Wang, P., & Abulikemu, G. (2010) · Applied Surface Science · doi:10.1016/j.apsusc.2009.12.025 · Cited by 306
Metadata
- Authors
- Pelekani, C., & Snoeyink, V. L.
- Venue
- Carbon
- Publisher
- Elsevier BV
- Published
- 2000
- Volume
- 38
- Issue
- 10
- Pages
- 1423-1436
- ISSN
- 0008-6223 (ISSN-L)
- OpenAlex
- W2002027492
- Cited by
- 471
- References
- 1
- FWCI
- 13.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Competitive adsorption between atrazine and methylene blue on activated carbon: the importance of pore size distribution. https://app.cochat.ai/papers/10.1016/s0008-6223(99)00261-4
- The paper
- Pelekani, C., & Snoeyink, V. L. (2000). Competitive adsorption between atrazine and methylene blue on activated carbon: the importance of pore size distribution. Carbon. https://doi.org/10.1016/s0008-6223(99)00261-4
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.