The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Damage detection of truss bridge joints using Artificial Neural Networks
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Citations
Cites
Los Alamos National Lab., N. (. S., Doebling, S., USDOE, W., Farrar, C., Prime, M., & Shevitz, D. (1996) · doi:10.2172/249299 · Cited by 2,899
Cited by
Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj, M., & Inman, D. J. (2021) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107077 · Cited by 1,442
Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review
Flah, M., Nunez, I., Ben Chaabene, W., & Nehdi, M. L. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-020-09471-9 · Cited by 533
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Ensemble classification method for structural damage assessment under varying temperature
Fallahian, M., Khoshnoudian, F., & Meruane, V. (2018) · Structural Health Monitoring · doi:10.1177/1475921717717311 · Cited by 60
Kohiyama, M., Oka, K., & Yamashita, T. (2020) · Structural Control and Health Monitoring · doi:10.1002/stc.2552 · Cited by 38
Metadata
- Authors
- Mehrjoo, M., Khaji, N., Moharrami, H., & Bahreininejad, A.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 35
- Issue
- 3
- Pages
- 1122-1131
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2087119090
- Cited by
- 307
- References
- 1
- FWCI
- 18.02
- 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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How to cite
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- CoChat. (2026). Citation check: Damage detection of truss bridge joints using Artificial Neural Networks. https://app.cochat.ai/papers/10.1016/j.eswa.2007.08.008
- The paper
- Mehrjoo, M., Khaji, N., Moharrami, H., & Bahreininejad, A. (2008). Damage detection of truss bridge joints using Artificial Neural Networks. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2007.08.008
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.
