The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Application of response surface methodology for optimization of lead biosorption in an aqueous solution by Aspergillus niger
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Citations
Cites
Standard methods: For the examination of water and waste water
(1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90598-4 · Cited by 72,091
Empirical Model Building and Response Surfaces
Freeny, A. (1988) · Technometrics · doi:10.1080/00401706.1988.10488371 · Cited by 5,235
Modeling and optimization I: Usability of response surface methodology
Baş, D., & Boyacı, İ. H. (2007) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2005.11.024 · Cited by 2,151
Empirical Model-Building and Response Surfaces.
Kshirsagar, A. M., Box, G. E. P., & Draper, N. R. (1988) · Journal of the American Statistical Association · doi:10.2307/2288890 · Cited by 1,894
Response Surfaces: Designs and Analyses
Ziegel, E. R. (1997) · Technometrics · doi:10.1080/00401706.1997.10485140 · Cited by 1,520
Biosorption of heavy metals by Saccharomyces cerevisiae: A review
Wang, J., & Chen, C. (2006) · Biotechnology Advances · doi:10.1016/j.biotechadv.2006.03.001 · Cited by 1,390
Design of Experiments: Statistical Principles of Research Design and Analysis
Kuehl, R. O. (1999) · Cited by 908
Removal of heavy metals using the fungus Aspergillus niger
Kapoor, A., Viraraghavan, T., & Cullimore, D. R. (1999) · Bioresource Technology · doi:10.1016/s0960-8524(98)00192-8 · Cited by 756
Heavy metal biosorption by fungal mycelial by-products: mechanisms and influence of pH
Fourest, E., & Roux, J.-C. (1992) · Applied Microbiology and Biotechnology · doi:10.1007/bf00211001 · Cited by 719
Design of Experiments: Statistical Principles of Research Design and Analysis
Anderson, M., & Whitcomb, P. (2001) · Technometrics · doi:10.1198/tech.2001.s589 · Cited by 655
Cited by
An overview of microalgae for Cd2+ and Pb2+ biosorption from wastewater
Nateras-Ramírez, O., Martínez-Macias, M. R., Sánchez-Machado, D. I., López-Cervantes, J., & Aguilar-Ruiz, R. J. (2022) · Bioresource Technology Reports · doi:10.1016/j.biteb.2021.100932 · Cited by 51
Gul, I., Adil, M., Lv, F., Li, T., Chen, Y., Lu, H., Ahamad, M. I., Lu, S., & Feng, W. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1434921 · Cited by 48
Metadata
- Authors
- Amini, M., Younesi, H., Bahramifar, N., Lorestani, A. A. Z., Ghorbani, F., Daneshi, A., & Sharifzadeh, M.
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 154
- Issue
- 1-3
- Pages
- 694-702
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W2061618392
- Cited by
- 444
- References
- 45
- FWCI
- 12.79
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Application of response surface methodology for optimization of lead biosorption in an aqueous solution by Aspergillus niger. https://app.cochat.ai/papers/10.1016/j.jhazmat.2007.10.114
- The paper
- Amini, M., Younesi, H., Bahramifar, N., Lorestani, A. A. Z., Ghorbani, F., Daneshi, A., & Sharifzadeh, M. (2008). Application of response surface methodology for optimization of lead biosorption in an aqueous solution by Aspergillus niger. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2007.10.114
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.
