The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Statistical process monitoring with independent component analysis
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,796
Independent component analysis: algorithms and applications
Hyvärinen, A., & Oja, E. (2000) · Neural Networks · doi:10.1016/s0893-6080(00)00026-5 · Cited by 8,705
Independent component analysis, A new concept?
Comon, P. (1994) · Signal Processing · doi:10.1016/0165-1684(94)90029-9 · Cited by 8,205
Independent Component Analysis
(2004) · Independent Component Analysis · doi:10.7551/mitpress/3717.003.0014 · Cited by 7,903
Fast and robust fixed-point algorithms for independent component analysis
Hyvarinen, A. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.761722 · Cited by 6,246
Density Estimation for Statistics and Data Analysis
Dehnad, K. (1987) · Technometrics · doi:10.1080/00401706.1987.10488295 · Cited by 5,302
Blind beamforming for non-gaussian signals
Cardoso, J. F., & Souloumiac, A. (1993) · IEE Proceedings F Radar and Signal Processing · doi:10.1049/ip-f-2.1993.0054 · Cited by 2,738
Independent Component Analysis: Principles and Practice
(2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511624148 · Cited by 1,917
Blind signal separation: statistical principles
Cardoso, J.-F. (1998) · Proceedings of the IEEE · doi:10.1109/5.720250 · Cited by 1,885
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
“[56] developed a process monitoring method based on the ICA method, in which three statistics have been used for process monitoring.”
Method
Metadata
- Authors
- Lee, J.-M., Yoo, C., & Lee, I.-B.
- Venue
- Journal of Process Control
- Publisher
- Elsevier BV
- Published
- 2004-08
- Volume
- 14
- Issue
- 5
- Pages
- 467-485
- ISSN
- 0959-1524 (ISSN-L)
- OpenAlex
- W2072405524
- Cited by
- 746
- References
- 28
- FWCI
- 14.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Lee, J.-M., Yoo, C., & Lee, I.-B. (2004). Statistical process monitoring with independent component analysis. Journal of Process Control. https://doi.org/10.1016/j.jprocont.2003.09.004
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.
