The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells
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Citations
Cites
Tea waste as a low cost adsorbent for the removal of Cu and Pb from wastewater
Amarasinghe, B. M. W. P. K., & Williams, R. A. (2007) · Chemical Engineering Journal · doi:10.1016/j.cej.2007.01.016 · Cited by 845
Rice husk as a potentially low-cost biosorbent for heavy metal and dye removal: an overview
Chuah, T. G., Jumasiah, A., Azni, I., Katayon, S., & Thomas Choong, S. Y. (2005) · Desalination · doi:10.1016/j.desal.2004.10.014 · Cited by 606
Copper(II) removal from aqueous solutions by fly ash
Panday, K. K., Prasad, G., & Singh, V. N. (1985) · Water Research · doi:10.1016/0043-1354(85)90145-9 · Cited by 499
Heavy metal removal with mexican clinoptilolite:
Vaca Mier, M., López Callejas, R., Gehr, R., Jiménez Cisneros, B. E., & Alvarez, P. J. J. (2001) · Water Research · doi:10.1016/s0043-1354(00)00270-0 · Cited by 360
Ricordel, S. (2001) · Separation and Purification Technology · doi:10.1016/s1383-5866(01)00139-3 · Cited by 347
THE USE OF SAGO WASTE FOR THE SORPTION OF LEAD AND COPPER
Quek, S. Y., Wase, D. A. J., & Forster, C. F. (1998) · Water SA · Cited by 302
Removal of heavy metals by adsorbent prepared from pyrolyzed coffee residues and clay
Boonamnuayvitaya, V., Chaiya, C., Tanthapanichakoon, W., & Jarudilokkul, S. (2004) · Separation and Purification Technology · doi:10.1016/s1383-5866(03)00110-2 · Cited by 280
Horsfall, M., & Spiff, A. I. (2005) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · doi:10.4067/s0717-34582005000200005 · Cited by 250
Kinetic and isothermal studies of lead ion adsorption onto palygorskite clay
Chen, H., & Wang, A. (2007) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2006.10.054 · Cited by 244
The behaviour of pharmaceuticals and heavy metals during struvite precipitation in urine
Ronteltap, M., Maurer, M., & Gujer, W. (2007) · Water Research · doi:10.1016/j.watres.2007.01.026 · Cited by 214
Cited by
Witek-Krowiak, A., Chojnacka, K., Podstawczyk, D., Dawiec, A., & Bubała, K. (2014) · Bioresource Technology · doi:10.1016/j.biortech.2014.01.021 · Cited by 667
Yetilmezsoy, K., Demirel, S., & Vanderbei, R. J. (2009) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2009.06.035 · Cited by 599
Self-citationOsman, A. I., Fawzy, S., Farghali, M., El-Azazy, M., Elgarahy, A. M., Fahim, R. A., Maksoud, M. I. A. A., Ajlan, A. A., Yousry, M., Saleem, Y., et al. (2022) · Environmental Chemistry Letters · doi:10.1007/s10311-022-01424-x · Cited by 515
Cojocaru, C., Samoila, P., & Pascariu, P. (2019) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2018.11.080 · Cited by 59
Kamar, F. H., Niamat, F. E., Faisal, A. A. H., Mohammed, A. A., Nechifor, A. C., & Nechifor, G. (2018) · Revista de Chimie · doi:10.37358/rc.18.8.6447 · Cited by 13
Metadata
- Authors
- YETILMEZSOY, K., & DEMIREL, S.
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2008-05-30
- Volume
- 153
- Issue
- 3
- Pages
- 1288-1300
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W2060616705
- Cited by
- 349
- References
- 23
- FWCI
- 9.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells. https://app.cochat.ai/papers/10.1016/j.jhazmat.2007.09.092
- The paper
- YETILMEZSOY, K., & DEMIREL, S. (2008). Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2007.09.092
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.
