The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Damage detection using artificial neural network with consideration of uncertainties
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Citations
Cites
Neural Networks: Tricks of the Trade: Second Edition
(2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8 · Cited by 2,116
Prechelt, L. (1998) · Lecture Notes in Computer Science · doi:10.1007/3-540-49430-8_3 · Cited by 1,649
Damage identification of structures with uncertain frequency and mode shape data
Xia, Y., Hao, H., Brownjohn, J. M. W., & Xia, P. (2002) · Earthquake Engineering & Structural Dynamics · doi:10.1002/eqe.137 · Cited by 171
Self-citation
Cited by
Machine Learning for Structural Engineering: A State-of-the-Art Review
Thai, H.-T. (2022) · Structures · doi:10.1016/j.istruc.2022.02.003 · Cited by 748
Structural damage identification based on autoencoder neural networks and deep learning
Pathirage, C. S. N., Li, J., Li, L., Hao, H., Liu, W., & Ni, P. (2018) · Engineering Structures · doi:10.1016/j.engstruct.2018.05.109 · Cited by 415
Self-citationMata, J. (2011) · Engineering Structures · doi:10.1016/j.engstruct.2010.12.011 · Cited by 370
Damage Identification Scheme Based on Compressive Sensing
Wang, Y., & Hao, H. (2015) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000324 · Cited by 77
Self-citationDynamic-based damage identification using neural network ensembles and damage index method
Dackermann, U., Li, J., & Samali, B. (2010) · Advances in Structural Engineering · doi:10.1260/1369-4332.13.6.1001 · Cited by 66
Metadata
- Authors
- Bakhary, N., Hao, H., & Deeks, A. J.
- Venue
- Engineering Structures
- Publisher
- Elsevier BV
- Published
- 2007-11
- Volume
- 29
- Issue
- 11
- Pages
- 2806-2815
- ISSN
- 0141-0296 (ISSN-L)
- OpenAlex
- W2029209206
- Cited by
- 185
- References
- 3
- FWCI
- 24.96
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
