The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Development of inferential process models using PLS
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Citations
Cites
Wold, S., Ruhe, A., Wold, H., & Dunn, III (1984) · SIAM Journal on Scientific and Statistical Computing · doi:10.1137/0905052 · Cited by 2,529
Cited by
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Ge, Z., Song, Z., Ding, S. X., & Huang, B. (2017) · IEEE Access · doi:10.1109/access.2017.2756872 · Cited by 922
“[144] applied the PLSmethod for development of inferential process models.”
MethodMissing 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
Self-citationA systematic approach for soft sensor development
Lin, B., Recke, B., Knudsen, J. K. H., & Jørgensen, S. B. (2007) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2006.05.030 · Cited by 336
A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application
Yan, W., Tang, D., & Lin, Y. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2622668 · Cited by 294
Soft‐sensor development using correlation‐based just‐in‐time modeling
Fujiwara, K., Kano, M., Hasebe, S., & Takinami, A. (2009) · AIChE Journal · doi:10.1002/aic.11791 · Cited by 287
Metadata
- Authors
- Kresta, J. V., Marlin, T. E., & MacGregor, J. F.
- Venue
- Computers & Chemical Engineering
- Publisher
- Elsevier BV
- Published
- 1994-07
- Volume
- 18
- Issue
- 7
- Pages
- 597-611
- ISSN
- 0098-1354 (ISSN-L)
- OpenAlex
- W2036706046
- Cited by
- 183
- References
- 1
- FWCI
- 5.40
- 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: Development of inferential process models using PLS. https://app.cochat.ai/papers/10.1016/0098-1354(93)e0006-u
- The paper
- Kresta, J. V., Marlin, T. E., & MacGregor, J. F. (1994). Development of inferential process models using PLS. Computers & Chemical Engineering. https://doi.org/10.1016/0098-1354(93)e0006-u
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.
