Chemometrics and Intelligent Laboratory Systems

Chemometrics and Intelligent Laboratory Systems

ISSNs: 0169-7439

Elsevier

Scopus rating (2022): CiteScore 6.9 SJR 0.649 SNIP 1.108

Journal

Journal Metrics

Research Output

  1. 2023
  2. Published

    A novel bidirectional DiPLS based LSTM algorithm and its application in industrial process time series prediction

    Wang, Y., Bao, D. & Qin, S. J., 15 Sept 2023, In: Chemometrics and Intelligent Laboratory Systems. 240, 104878.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 3
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  3. 2022
  4. Published

    An effective statistical process control scheme for industrial environmental monitoring

    Shamsuzzaman, M., Haridy, S., Maged, A., Bashir, H., Shamsuzzoha, A. & Ali, A., 15 Oct 2022, In: Chemometrics and Intelligent Laboratory Systems. 229, 104651.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 3
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  5. Published

    A temporal clustering method fusing deep convolutional autoencoders and dimensionality reduction methods and its application in air quality visualization

    Wang, Y., Yu, Z. & Wang, Z., 15 Aug 2022, In: Chemometrics and Intelligent Laboratory Systems. 227, 104607.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 1
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  6. 2020
  7. Published

    Distribution-free hybrid schemes for process surveillance with application in monitoring chlorine content of water

    Sanusi, R. A., Chong, Z. L., Mukherjee, A. & Xie, M., 15 Nov 2020, In: Chemometrics and Intelligent Laboratory Systems. 206, 104099.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 4
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  8. Published

    Sparse Bayesian learning approach for baseline correction

    Li, H., Dai, J., Pan, T., Chang, C. & So, H. C., 15 Sept 2020, In: Chemometrics and Intelligent Laboratory Systems. 204, 104088.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 15
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  9. Published

    Improved linear profiling methods under classical and Bayesian setups: An application to chemical gas sensors

    Abbas, T., Mahmood, T., Riaz, M. & Abid, M., 15 Jan 2020, In: Chemometrics and Intelligent Laboratory Systems. 196, 14 p., 103908.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 25
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  10. 2016
  11. Data-driven root cause diagnosis of faults in process industries

    Li, G., Qin, S. J. & Yuan, T., 15 Dec 2016, In: Chemometrics and Intelligent Laboratory Systems. 159, p. 1-11

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 104
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