The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data
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Cites
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
The Path Forward for Biofuels and Biomaterials
Ragauskas, A. J., Williams, C. K., Davison, B. H., Britovsek, G., Cairney, J., Eckert, C. A., Frederick, W. J., Hallett, J. P., Leak, D. J., Liotta, C. L., et al. (2006) · Science · doi:10.1126/science.1114736 · Cited by 5,741
Technical aspects of biodiesel production by transesterification—a review
MEHER, L., VIDYASAGAR, D., & NAIK, S. (2006) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2004.09.002 · Cited by 3,276
Ethanol Can Contribute to Energy and Environmental Goals
Farrell, A. E., Plevin, R. J., Turner, B. T., Jones, A. D., O'Hare, M., & Kammen, D. M. (2006) · Science · doi:10.1126/science.1121416 · Cited by 2,823
Near-Infrared Technology: In the Agricultural and Food Industries
Williams, P. C., & Norris, K. (2001) · Andalas University Repository (Andalas University) · Cited by 2,749
Bias in error estimation when using cross-validation for model selection
Varma, S., & Simon, R. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-91 · Cited by 2,485
Nørgaard, L., Saudland, A., Wagner, J., Nielsen, J. P., Munck, L., & Engelsen, S. B. (2000) · Applied Spectroscopy · doi:10.1366/0003702001949500 · Cited by 1,361
Microbial production of fatty-acid-derived fuels and chemicals from plant biomass
Steen, E. J., Kang, Y., Bokinsky, G., Hu, Z., Schirmer, A., McClure, A., del Cardayre, S. B., & Keasling, J. D. (2010) · Nature · doi:10.1038/nature08721 · Cited by 1,342
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
Araújo, M. C. U., Saldanha, T. C. B., Galvão, R. K. H., Yoneyama, T., Chame, H. C., & Visani, V. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00119-8 · Cited by 1,320
Cited by
A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example
Pan, W.-T. (2012) · Knowledge-Based Systems · doi:10.1016/j.knosys.2011.07.001 · Cited by 1,543
Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells
Byrne, H. J., Knief, P., Keating, M. E., & Bonnier, F. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00440c · Cited by 213
Ma, L., Peng, Y., Pei, Y., Zeng, J., Shen, H., Cao, J., Qiao, Y., & Wu, Z. (2019) · Scientific Reports · doi:10.1038/s41598-019-45945-y · Cited by 84
Metadata
- Authors
- Balabin, R. M., & Smirnov, S. V.
- Venue
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 692
- Issue
- 1-2
- Pages
- 63-72
- ISSN
- 0003-2670 (ISSN-L)
- OpenAlex
- W2148028862
- Cited by
- 398
- References
- 38
- FWCI
- 29.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data. https://app.cochat.ai/papers/10.1016/j.aca.2011.03.006
- The paper
- Balabin, R. M., & Smirnov, S. V. (2011). Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data. Analytica Chimica Acta. https://doi.org/10.1016/j.aca.2011.03.006
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.
