The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A systematic approach for soft sensor development
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Citations
Cites
Methods for dealing with reaction time outliers.
Ratcliff, R. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.3.510 · Cited by 2,123
Control Procedures for Residuals Associated With Principal Component Analysis
Jackson, J. E., & Mudholkar, G. S. (1979) · Technometrics · doi:10.1080/00401706.1979.10489779 · Cited by 1,237
The identification of multiple outliers
Davies, L., & Gather, U. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476339 · Cited by 709
Proceedings of the 1995 American Control Conference
(1995) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.1995.529194 · Cited by 589
Outliers in process modeling and identification
Pearson, R. K. (2002) · IEEE Transactions on Control Systems Technology · doi:10.1109/87.974338 · Cited by 497
Nonlinear PLS modeling using neural networks
Qin, S. J., & McAvoy, T. J. (1992) · Computers & Chemical Engineering · doi:10.1016/0098-1354(92)80055-e · Cited by 450
Robust Estimation of Dispersion Matrices and Principal Components
Devlin, S. J., Gnanadesikan, R., & Kettenring, J. R. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477654 · Cited by 391
Missing data methods in PCA and PLS: Score calculations with incomplete observations
Nelson, P. R. C., Taylor, P. A., & MacGregor, J. F. (1996) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(96)00007-x · Cited by 358
Process analytical technologies in the pharmaceutical industry: the FDA’s PAT initiative
Hinz, D. C. (2006) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-005-3394-y · Cited by 206
Development of inferential process models using PLS
Kresta, J. V., Marlin, T. E., & MacGregor, J. F. (1994) · Computers & Chemical Engineering · doi:10.1016/0098-1354(93)e0006-u · Cited by 183
Cited by
Data-driven Soft Sensors in the process industry
Kadlec, P., Gabrys, B., & Strandt, S. (2009) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2008.12.012 · Cited by 1,845
Review of adaptation mechanisms for data-driven soft sensors
Kadlec, P., Grbić, R., & Gabrys, B. (2011) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2010.07.034 · Cited by 517
Gonzaga, J. C. B., Meleiro, L. A. C., Kiang, C., & Maciel Filho, R. (2009) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2008.05.019 · Cited by 349
Design of inferential sensors in the process industry: A review of Bayesian methods
Khatibisepehr, S., Huang, B., & Khare, S. (2013) · Journal of Process Control · doi:10.1016/j.jprocont.2013.05.007 · Cited by 262
Sensor systems for bioprocess monitoring
Biechele, P., Busse, C., Solle, D., Scheper, T., & Reardon, K. (2015) · Engineering in Life Sciences · doi:10.1002/elsc.201500014 · Cited by 224
Metadata
- Authors
- Lin, B., Recke, B., Knudsen, J. K. H., & Jørgensen, S. B.
- Venue
- Computers & Chemical Engineering
- Publisher
- Elsevier BV
- Published
- 2007-05
- Volume
- 31
- Issue
- 5-6
- Pages
- 419-425
- ISSN
- 0098-1354 (ISSN-L)
- OpenAlex
- W2974238426
- Cited by
- 336
- References
- 22
- FWCI
- 22.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A systematic approach for soft sensor development. https://app.cochat.ai/papers/10.1016/j.compchemeng.2006.05.030
- The paper
- Lin, B., Recke, B., Knudsen, J. K. H., & Jørgensen, S. B. (2007). A systematic approach for soft sensor development. Computers & Chemical Engineering. https://doi.org/10.1016/j.compchemeng.2006.05.030
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.
