The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A review on the long short-term memory model
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Bidirectional recurrent neural networks
Schuster, M., & Paliwal, K. K. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.650093 · Cited by 10,172
Greff, K., Srivastava, R. K., Koutnik, J., Steunebrink, B. R., & Schmidhuber, J. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2582924 · Cited by 6,955
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Wu, Y., Schuster, M., Chen, Z., Le, Q. V., Norouzi, M., Macherey, W., Krikun, M., Cao, Y., Gao, Q., Macherey, K., et al. (2016) · arXiv · doi:10.48550/arxiv.1609.08144 · Cited by 5,319
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Speech emotion recognition using deep 1D & 2D CNN LSTM networks
Zhao, J., Mao, X., & Chen, L. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.08.035 · Cited by 1,044
Evaluating deep learning architectures for Speech Emotion Recognition
Fayek, H. M., Lech, M., & Cavedon, L. (2017) · Neural Networks · doi:10.1016/j.neunet.2017.02.013 · Cited by 554
Li, X., Zhang, L., Wang, Z., & Dong, P. (2019) · Journal of Energy Storage · doi:10.1016/j.est.2018.12.011 · Cited by 445
Multi-dimensional Recurrent Neural Networks
Graves, A., Fernández, S., & Schmidhuber, J. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74690-4_56 · Cited by 303
Kanjo, E., Younis, E. M. G., & Ang, C. S. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.09.001 · Cited by 293
Cited by
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Zhao, P., Zhang, H., Yu, Q., Wang, Z., Geng, Y., Fu, F., Yang, L., Zhang, W., Jiang, J., & Cui, B. (2024) · arXiv · doi:10.48550/arxiv.2402.19473 · Cited by 240
Li, Q., Cheng, X., Song, C., & Liu, T. (2023) · Symmetry · doi:10.3390/sym15030731 · Cited by 20
Enhancing Debris Flow Warning via Machine Learning Feature Reduction and Model Selection
Zhou, Q., Tang, H., Hibert, C., Chmiel, M., Walter, F., Dietze, M., & Turowski, J. M. (2025) · Journal of Geophysical Research: Earth Surface · doi:10.1029/2024jf008094 · Cited by 20
Augmenting Polymer Datasets by Iterative Rearrangement
(2023) · doi:10.1021/acs.jcim.3c00144 · Cited by 19
Variable time delay estimation in continuous industrial processes
Cattaldo, M., Ferrer, A., & Måge, I. (2024) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2024.105082 · Cited by 18
Metadata
- Authors
- Van Houdt, G., Mosquera, C., & Nápoles, G.
- Venue
- Artificial Intelligence Review
- Published
- 2020-05-13
- Volume
- 53
- Issue
- 8
- Pages
- 5929-5955
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W3024761859
- Cited by
- 1,991
- References
- 11
- FWCI
- 56.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A review on the long short-term memory model. https://app.cochat.ai/papers/10.1007/s10462-020-09838-1
- The paper
- Van Houdt, G., Mosquera, C., & Nápoles, G. (2020). A review on the long short-term memory model. Artificial Intelligence Review. https://doi.org/10.1007/s10462-020-09838-1
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.
