The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A novel unsupervised deep learning model for global and local health condition assessment of structures
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Citations
Cites
Reducing the dimensionality of data with neural networks
Hinton, G. E., & Salakhutdinov, R. R. (2006) · Science · doi:10.1126/science.1127647 · Cited by 20,928
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
Cha, Y., Choi, W., & Büyüköztürk, O. (2017) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12263 · Cited by 3,295
Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool
Daubechies, I., Lu, J., & Wu, H.-T. (2011) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2010.08.002 · Cited by 2,489
Gilles, J. (2013) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2013.2265222 · Cited by 2,210
Information processing in dynamical systems: foundations of harmony theory
Smolensky, P. (1986) · The MIT Press eBooks · Cited by 1,671
Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network
Zhang, A., Wang, K. C. P., Li, B., Yang, E., Dai, X., Peng, Y., Fei, Y., Liu, Y., Li, J. Q., & Chen, C. (2017) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12297 · Cited by 969
Vision‐Based Automated Crack Detection for Bridge Inspection
Yeum, C. M., & Dyke, S. J. (2015) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12141 · Cited by 517
A New Neural Dynamic Classification Algorithm
Rafiei, M. H., & Adeli, H. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2682102 · Cited by 501
Self-citationEnhanced probabilistic neural network with local decision circles: A robust classifier
Ahmadlou, M., & Adeli, H. (2010) · Integrated Computer-Aided Engineering · doi:10.3233/ica-2010-0345 · Cited by 349
Self-citationA novel machine learning‐based algorithm to detect damage in high‐rise building structures
Rafiei, M. H., & Adeli, H. (2017) · The Structural Design of Tall and Special Buildings · doi:10.1002/tal.1400 · Cited by 346
Self-citation
Research works printed but not linked: 12
- Amezquita-Sanchez JP, Adeli H, 2015b. Feature extraction and classification techniques for health monitoring of structures. Scientia Iranica, – Trans A: Civil Eng 2015;22:6 [Invited Paper].
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Cited by
Baduge, S. K., Thilakarathna, S., Perera, J. S., Arashpour, M., Sharafi, P., Teodosio, B., Shringi, A., & Mendis, P. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104440 · Cited by 1,007
“SHM through vibration analysis was applied to various structures such as bridges [202], wind turbines [203], power plants [204], and high-rise buildings [205].”
MethodRoad Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
Maeda, H., Sekimoto, Y., Seto, T., Kashiyama, T., & Omata, H. (2018) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12387 · Cited by 870
Sun, L., Shang, Z., Xia, Y., Bhowmick, S., & Nagarajaiah, S. (2020) · Journal of Structural Engineering · doi:10.1061/(asce)st.1943-541x.0002535 · Cited by 731
Hou, R., & Xia, Y. (2021) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2020.115741 · Cited by 674
Deep learning in the construction industry: A review of present status and future innovations
Akinosho, T. D., Oyedele, L. O., Bilal, M., Ajayi, A. O., Delgado, M. D., Akinade, O. O., & Ahmed, A. A. (2020) · Journal of Building Engineering · doi:10.1016/j.jobe.2020.101827 · Cited by 537
Metadata
- Authors
- Rafiei, M. H., & Adeli, H.
- Venue
- Engineering Structures
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 156
- Pages
- 598-607
- ISSN
- 0141-0296 (ISSN-L)
- OpenAlex
- W2776541877
- Cited by
- 401
- References
- 33
- FWCI
- 36.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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- Rafiei, M. H., & Adeli, H. (2018). A novel unsupervised deep learning model for global and local health condition assessment of structures. Engineering Structures. https://doi.org/10.1016/j.engstruct.2017.10.070
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.
