The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Artificial neural network models of knowledge representation in chemical engineering
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Cited by
Nonlinear principal component analysis using autoassociative neural networks
Kramer, M. A. (1991) · AIChE Journal · doi:10.1002/aic.690370209 · Cited by 3,037
A review of process fault detection and diagnosis
Venkatasubramanian, V., Rengaswamy, R., Yin, K., & Kavuri, S. N. (2003) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(02)00160-6 · Cited by 2,723
Introduction to multi-layer feed-forward neural networks
Svozil, D., Kvasnicka, V., & Pospichal, J. (1997) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(97)00061-0 · Cited by 1,600
Neural networks: A new method for solving chemical problems or just a passing phase?
Zupan, J., & Gasteiger, J. (1991) · Analytica Chimica Acta · doi:10.1016/s0003-2670(00)80865-x · Cited by 579
Gasteiger, J., & Zupan, J. (1993) · Angewandte Chemie International Edition in English · doi:10.1002/anie.199305031 · Cited by 503
Metadata
- Authors
- Hoskins, J. C., & Himmelblau, D. M.
- Venue
- Computers & Chemical Engineering
- Publisher
- Elsevier BV
- Published
- 1988-09
- Volume
- 12
- Issue
- 9-10
- Pages
- 881-890
- ISSN
- 0098-1354 (ISSN-L)
- OpenAlex
- W1992301222
- Cited by
- 415
- References
- 1
- FWCI
- 29.02
- 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: Artificial neural network models of knowledge representation in chemical engineering. https://app.cochat.ai/papers/10.1016/0098-1354(88)87015-7
- The paper
- Hoskins, J. C., & Himmelblau, D. M. (1988). Artificial neural network models of knowledge representation in chemical engineering. Computers & Chemical Engineering. https://doi.org/10.1016/0098-1354(88)87015-7
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.
