Computers and Chemical Engineering

Computers and Chemical Engineering

ISSNs: 0098-1354

Additional searchable ISSN (Electronic): 1873-4375

Elsevier Ireland Ltd., Ireland

Scopus rating (2021): CiteScore 6.7

Journal

Journal Metrics

Research Output

  1. 2021
  2. Published

    Integration of process knowledge and statistical learning for the Dow data challenge problem

    Joe Qin, S., Guo, S., Li, Z., Chiang, L. H., Castillo, I., Braun, B. & Wang, Z., Oct 2021, In: Computers and Chemical Engineering. 153, 107451.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  3. Published

    Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis

    Qin, S. J., Liu, Y. & Dong, Y., Sep 2021, In: Computers and Chemical Engineering. 152, 107392.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  4. 2020
  5. Editorial for Tom Edgar special issue in Computers & Chemical Engineering

    Hahn, J., Baldea, M. & Qin, S. J., 4 Oct 2020, In: Computers and Chemical Engineering. 141, 107011.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)Editorial Preface

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  6. Published

    Dynamic latent variable regression for inferential sensor modeling and monitoring

    Zhu, Q., Joe Qin, S. & Dong, Y., 9 Jun 2020, In: Computers and Chemical Engineering. 137, 106809.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 7
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  7. 2019
  8. Advances and opportunities in machine learning for process data analytics

    Qin, S. J. & Chiang, L. H., 12 Jul 2019, In: Computers and Chemical Engineering. 126, p. 465-473 9 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 83
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  9. 2018
  10. Dynamic Latent Variable Analytics for Process Operations and Control

    Dong, Y. & Qin, S. J., 9 Jun 2018, In: Computers and Chemical Engineering. 114, p. 69-80 12 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 31
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  11. 2013
  12. Predictive control methods to improve energy efficiency and reduce demand in buildings

    Salsbury, T., Mhaskar, P. & Qin, S. J., 5 Apr 2013, In: Computers and Chemical Engineering. 51, p. 77-85

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 66
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  13. 2009
  14. Published

    A time/space separation-based Hammerstein modeling approach for nonlinear distributed parameter processes

    Qi, C. & Li, H., 15 Jul 2009, In: Computers and Chemical Engineering. 33, 7, p. 1247-1260

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 63
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  15. 2006
  16. An overview of subspace identification

    Qin, S. J., 12 Sep 2006, In: Computers and Chemical Engineering. 30, 10-12, p. 1502-1513

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 427
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  17. 2004
  18. A strong tracking predictor for nonlinear processes with input time delay

    Wang, D., Zhou, D. H., Jin, Y. H. & Qin, S. J., 15 Nov 2004, In: Computers and Chemical Engineering. 28, 12, p. 2523-2540

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 29
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  19. 2002
  20. Multivariate process monitoring and fault diagnosis by multi-scale PCA

    Misra, M., Yue, H. H., Qin, S. J. & Ling, C., 15 Sep 2002, In: Computers and Chemical Engineering. 26, 9, p. 1281-1293

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 271
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  21. 1998
  22. Control performance monitoring - a review and assessment

    Qin, S. J., 1 Dec 1998, In: Computers and Chemical Engineering. 23, 2, p. 173-186

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  23. A unified geometric approach to process and sensor fault identification and reconstruction: the unidimensional fault case

    Dunia, R. & Joe Qin, S., 20 Jul 1998, In: Computers and Chemical Engineering. 22, 7-8, p. 927-943

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 94
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  24. Recursive PLS algorithms for adaptive data modeling

    Qin, S. J., 1998, In: Computers and Chemical Engineering. 22, 4-5, p. 503-514

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 534
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  25. 1997
  26. An Interpolating Model Predictive Control Strategy with Application to a Waste Treatment Plant

    Qin, S. J., Martínez, V. M. & Foss, B. A., 20 May 1997, In: Computers and Chemical Engineering. 21, Supplement, p. S881-S886

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 16
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  27. 1996
  28. NONLINEAR FIR MODELING VIA A NEURAL NET PLS APPROACH

    Qin, S. J. & Mcavoy, T. J., Feb 1996, In: Computers and Chemical Engineering. 20, 2, p. 147-159

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 68
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  29. USE OF PRINCIPAL COMPONENT ANALYSIS FOR SENSOR FAULT IDENTIFICATION

    Dunia, R., Qin, S. J., Edgar, T. F. & McAvoy, T. J., 1996, In: Computers and Chemical Engineering. 20, Suppl. 1, p. S713-S718

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 62
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  30. 1992
  31. Nonlinear PLS modeling using neural networks

    Qin, S. J. & McAvoy, T. J., Apr 1992, In: Computers and Chemical Engineering. 16, 4, p. 379-391

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 388
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