The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
New approach for the diagnosis of extractions with neural network machine learning
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Contemporary Orthodontics (2012)
McDonald, F. (2013) · The European Journal of Orthodontics · doi:10.1093/ejo/cjs071 · Cited by 2,131
Artificial neural networks: Opening the black box
Dayhoff, J. E., & DeLeo, J. M. (2001) · Cancer · doi:10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-l · Cited by 414
Kubat, M. (2017) · An Introduction to Machine Learning · doi:10.1007/978-3-319-63913-0_5 · Cited by 379
Xie, X., Wang, L., & Wang, A. (2010) · The Angle Orthodontist · doi:10.2319/111608-588.1 · Cited by 211
Contemporary Orthodontics, 5th ed
Ngan, P. (2012) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2012.07.004 · Cited by 121
A new model of self-organizing neural networks and its application in data projection
Su, M.-C., & Chang, H.-T. (2001) · IEEE Transactions on Neural Networks · doi:10.1109/72.896805 · Cited by 108
Bishara, S. E., Cummins, D. M., & Jakobsen, J. R. (1995) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/s0889-5406(95)70127-3 · Cited by 105
Solving data mining problems through pattern recognition
Kennedy, R. L. (1997) · Prentice Hall PTR eBooks · Cited by 98
Cited by
Artificial intelligence in dentistry-a review
Ding, H., Wu, J., Zhao, W., Matinlinna, J. P., Burrow, M. F., & Tsoi, J. K. H. (2023) · Frontiers in Dental Medicine · doi:10.3389/fdmed.2023.1085251 · Cited by 297
Applications of Artificial Intelligence in Dental Medicine: A Critical Review
Sitaras, S., Tsolakis, I. A., Gelsini, M., Tsolakis, A. I., Schwendicke, F., Wolf, T. G., & Perlea, P. (2025) · International Dental Journal · doi:10.1016/j.identj.2024.11.009 · Cited by 42
Lin, L., Tang, B., Cao, L., Yan, J., Zhao, T., Hua, F., & He, H. (2023) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2023.07.006 · Cited by 26
Metadata
- Authors
- Jung, S.-K., & Kim, T.-W.
- Venue
- American Journal of Orthodontics and Dentofacial Orthopedics
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 149
- Issue
- 1
- Pages
- 127-133
- ISSN
- 0889-5406 (ISSN-L)
- OpenAlex
- W2198244262
- Cited by
- 266
- References
- 17
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: New approach for the diagnosis of extractions with neural network machine learning. https://app.cochat.ai/papers/10.1016/j.ajodo.2015.07.030
- The paper
- Jung, S.-K., & Kim, T.-W. (2016). New approach for the diagnosis of extractions with neural network machine learning. American Journal of Orthodontics and Dentofacial Orthopedics. https://doi.org/10.1016/j.ajodo.2015.07.030
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.
