The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Baseline correction using asymmetrically reweighted penalized least squares smoothing
Abstract
Baseline correction methods based on penalized least squares are successfully applied to various spectral analyses.
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Cites
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411
Eilers, P. H. C. (2003) · Analytical Chemistry · doi:10.1021/ac034173t · Cited by 1,340
Baseline correction using adaptive iteratively reweighted penalized least squares
Zhang, Z.-M., Chen, S., & Liang, Y.-Z. (2010) · The Analyst · doi:10.1039/b922045c · Cited by 1,124
Background removal from spectra by designing and minimising a non-quadratic cost function
Mazet, V., Carteret, C., Brie, D., Idier, J., & Humbert, B. (2005) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2004.10.003 · Cited by 316
Baseline correction by improved iterative polynomial fitting with automatic threshold
Gan, F., Ruan, G., & Mo, J. (2006) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2005.08.009 · Cited by 221
Numerical Methods in Engineering with MATLAB®
Kiusalaas, J. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511614682 · Cited by 126
Peak alignment using wavelet pattern matching and differential evolution
Zhang, Z., Chen, S., & Liang, Y. (2010) · Talanta · doi:10.1016/j.talanta.2010.08.008 · Cited by 75
Curve Fitting and Linearity: Data Processing in Raman Spectroscopy
Vickers, T. J., Wambles, R. E., & Mann, C. K. (2001) · Applied Spectroscopy · doi:10.1366/0003702011952127 · Cited by 70
Cited by
Deep convolutional neural networks for Raman spectrum recognition: a unified solution
Liu, J., Osadchy, M., Ashton, L., Foster, M., Solomon, C. J., & Gibson, S. J. (2017) · The Analyst · doi:10.1039/c7an01371j · Cited by 507
Erzina, M., Trelin, A., Guselnikova, O., Dvorankova, B., Strnadova, K., Perminova, A., Ulbrich, P., Mares, D., Jerabek, V., Elashnikov, R., et al. (2020) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2020.127660 · Cited by 116
Pan, L., Zhang, P., Daengngam, C., Peng, S., & Chongcheawchamnan, M. (2022) · Journal of Raman Spectroscopy · doi:10.1002/jrs.6225 · Cited by 116
Cordero, E., Korinth, F., Stiebing, C., Krafft, C., Schie, I., & Popp, J. (2017) · Sensors · doi:10.3390/s17081724 · Cited by 58
Pan, L., Pipitsunthonsan, P., Daengngam, C., Channumsin, S., Sreesawet, S., & Chongcheawchamnan, M. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3059849 · Cited by 29
Metadata
- Authors
- Baek, S.-J., Park, A., Ahn, Y.-J., & Choo, J.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 140
- Issue
- 1
- Pages
- 250-257
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W2005317708
- Cited by
- 477
- References
- 8
- FWCI
- 7.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- Baek, S.-J., Park, A., Ahn, Y.-J., & Choo, J. (2015). Baseline correction using asymmetrically reweighted penalized least squares smoothing. The Analyst. https://doi.org/10.1039/c4an01061b
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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.
