The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Neural Network Modeling for Near Wall Turbulent Flow
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Citations
Cites
Data Reduction and Error Analysis for the Physical Sciences
Bevington, P. R., Robinson, D. K., Blair, J. M., Mallinckrodt, A. J., & McKay, S. (1993) · Computers in Physics · doi:10.1063/1.4823194 · Cited by 14,824
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Turbulence and the dynamics of coherent structures. I. Coherent structures
Sirovich, L. (1987) · Quarterly of Applied Mathematics · doi:10.1090/qam/910462 · Cited by 6,224
Turbulence statistics in fully developed channel flow at low Reynolds number
Kim, J., Moin, P., & Moser, R. (1987) · Journal of Fluid Mechanics · doi:10.1017/s0022112087000892 · Cited by 4,873
The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
Berkooz, G., Holmes, P., & Lumley, J. L. (1993) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fl.25.010193.002543 · Cited by 4,431
Ruelle, D., & Takens, F. (1971) · Communications in Mathematical Physics · doi:10.1007/bf01646553 · Cited by 2,769
Coherent Motions in the Turbulent Boundary Layer
Robinson, S. K. (1991) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fl.23.010191.003125 · Cited by 2,551
Ruelle, D., & Takens, F. (1971) · Communications in Mathematical Physics · doi:10.1007/bf01893621 · Cited by 1,390
Neural networks and principal component analysis: Learning from examples without local minima
Baldi, P., & Hornik, K. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90014-2 · Cited by 1,383
The dynamics of coherent structures in the wall region of a turbulent boundary layer
Aubry, N., Holmes, P., Lumley, J. L., & Stone, E. (1988) · Journal of Fluid Mechanics · doi:10.1017/s0022112088001818 · Cited by 1,272
Cited by
Raissi, M., Perdikaris, P., & Karniadakis, G. E. (2019) · Journal of Computational Physics · doi:10.1016/j.jcp.2018.10.045 · Cited by 20,384
Machine Learning for Fluid Mechanics
Brunton, S. L., Noack, B. R., & Koumoutsakos, P. (2020) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-010719-060214 · Cited by 3,063
Self-citationReynolds averaged turbulence modelling using deep neural networks with embedded invariance
Ling, J., Kurzawski, A., & Templeton, J. (2016) · Journal of Fluid Mechanics · doi:10.1017/jfm.2016.615 · Cited by 1,624
Data-driven discovery of coordinates and governing equations
Champion, K., Lusch, B., Kutz, J. N., & Brunton, S. L. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906995116 · Cited by 909
Closed-Loop Turbulence Control: Progress and Challenges
Brunton, S. L., & Noack, B. R. (2015) · Applied Mechanics Reviews · doi:10.1115/1.4031175 · Cited by 623
Metadata
- Authors
- Milano, M., & Koumoutsakos, P.
- Venue
- Journal of Computational Physics
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 182
- Issue
- 1
- Pages
- 1-26
- ISSN
- 0021-9991 (ISSN-L)
- OpenAlex
- W2076110561
- Cited by
- 428
- References
- 19
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neural Network Modeling for Near Wall Turbulent Flow. https://app.cochat.ai/papers/10.1006/jcph.2002.7146
- The paper
- Milano, M., & Koumoutsakos, P. (2002). Neural Network Modeling for Near Wall Turbulent Flow. Journal of Computational Physics. https://doi.org/10.1006/jcph.2002.7146
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.
