The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
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Citations
Cites
An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879
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Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
Independent component analysis: algorithms and applications
Hyvärinen, A., & Oja, E. (2000) · Neural Networks · doi:10.1016/s0893-6080(00)00026-5 · Cited by 8,705
On the limited memory BFGS method for large scale optimization
Liu, D. C., & Nocedal, J. (1989) · Mathematical Programming · doi:10.1007/bf01589116 · Cited by 8,560
Sparse coding with an overcomplete basis set: A strategy employed by V1?
Olshausen, B. A., & Field, D. J. (1997) · Vision Research · doi:10.1016/s0042-6989(97)00169-7 · Cited by 3,642
A survey of deep neural network architectures and their applications
Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., & Alsaadi, F. E. (2017) · Neurocomputing · doi:10.1016/j.neucom.2016.12.038 · Cited by 3,239
Jia, F., Lei, Y., Lin, J., Zhou, X., & Lu, N. (2016) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.10.025 · Cited by 1,710
Self-citationA recurrent neural network based health indicator for remaining useful life prediction of bearings
Guo, L., Li, N., Jia, F., Lei, Y., & Lin, J. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.02.045 · Cited by 1,231
Self-citationLei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2519325 · Cited by 1,191
Self-citation
Cited by
Applications of machine learning to machine fault diagnosis: A review and roadmap
Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106587 · Cited by 2,997
Self-citationDeep learning and its applications to machine health monitoring
Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., & Gao, R. X. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.05.050 · Cited by 2,894
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Wang, B., Lei, Y., Li, N., & Li, N. (2020) · IEEE Transactions on Reliability · doi:10.1109/tr.2018.2882682 · Cited by 1,917
Self-citationGuo, L., Lei, Y., Xing, S., Yan, T., & Li, N. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2877090 · Cited by 1,234
Self-citationMachine learning in materials science
Wei, J., Chu, X., Sun, X., Xu, K., Deng, H., Chen, J., Wei, Z., & Lei, M. (2019) · InfoMat · doi:10.1002/inf2.12028 · Cited by 1,069
Metadata
- Authors
- Jia, F., Lei, Y., Guo, L., Lin, J., & Xing, S.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 272
- Pages
- 619-628
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2738563279
- Cited by
- 517
- References
- 39
- FWCI
- 36.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines. https://app.cochat.ai/papers/10.1016/j.neucom.2017.07.032
- The paper
- Jia, F., Lei, Y., Guo, L., Lin, J., & Xing, S. (2018). A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines. Neurocomputing. https://doi.org/10.1016/j.neucom.2017.07.032
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.
