The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
(1967) · Cited by 23,719
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
Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
McKay, M. D., Beckman, R. J., & Conover, W. J. (2000) · Technometrics · doi:10.2307/1271432 · Cited by 7,415
Chiang, L. H., Russell, E. L., & Braatz, R. D. (2001) · Advanced Textbooks in Control and Signal Processing · doi:10.1007/978-1-4471-0347-9_4 · Cited by 6,594
Global Sensitivity Analysis. The Primer
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2007) · doi:10.1002/9780470725184 · Cited by 6,430
Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement
Hughes, T. J. R., Cottrell, J. A., & Bazilevs, Y. (2005) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2004.10.008 · Cited by 6,335
Belytschko, T., Lu, Y. Y., & Gu, L. (1994) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.1620370205 · Cited by 5,648
Cited by
De novo composite design based on machine learning algorithm
Gu, G. X., Chen, C.-T., & Buehler, M. J. (2018) · Extreme Mechanics Letters · doi:10.1016/j.eml.2017.10.001 · Cited by 470
Thermodynamics-based Artificial Neural Networks for constitutive modeling
Masi, F., Stefanou, I., Vannucci, P., & Maffi-Berthier, V. (2021) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2020.104277 · Cited by 417
Dimiduk, D. M., Holm, E. A., & Niezgoda, S. R. (2018) · Integrating Materials and Manufacturing Innovation · doi:10.1007/s40192-018-0117-8 · Cited by 347
Eighty Years of the Finite Element Method: Birth, Evolution, and Future
Liu, W. K., Li, S., & Park, H. S. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09740-9 · Cited by 322
Self-citationLiu, Z., Wu, C. T., & Koishi, M. (2019) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2018.09.020 · Cited by 319
Self-citation
Metadata
- Authors
- Bessa, M. A., Bostanabad, R., Liu, Z., Hu, A., Apley, D. W., Brinson, C., Chen, W., & Liu, W. K.
- Venue
- Computer Methods in Applied Mechanics and Engineering
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 320
- Pages
- 633-667
- ISSN
- 0045-7825 (ISSN-L)
- OpenAlex
- W2597626167
- Cited by
- 573
- References
- 89
- FWCI
- 17.84
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality. https://app.cochat.ai/papers/10.1016/j.cma.2017.03.037
- The paper
- Bessa, M. A., Bostanabad, R., Liu, Z., Hu, A., Apley, D. W., Brinson, C., Chen, W., & Liu, W. K. (2017). A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/j.cma.2017.03.037
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.
