The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A comprehensive survey of augmented reality assembly research
Overview
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Citations
Cites
Object recognition from local scale-invariant features
Lowe, D. G. (1999) · Proceedings of the Seventh IEEE International Conference on Computer Vision · doi:10.1109/iccv.1999.790410 · Cited by 16,472
Design of a virtual reality training system for human–robot collaboration in manufacturing tasks
Matsas, E., & Vosniakos, G.-C. (2017) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-015-0259-2 · Cited by 238
Cited by
Industry 5.0: A survey on enabling technologies and potential applications
Maddikunta, P. K. R., Pham, Q.-V., B, P., Deepa, N., Dev, K., Gadekallu, T. R., Ruby, R., & Liyanage, M. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100257 · Cited by 1,890
A research agenda for augmented and virtual reality in architecture, engineering and construction
Davila Delgado, J. M., Oyedele, L., Demian, P., & Beach, T. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101122 · Cited by 486
Augmented reality technology in the manufacturing industry: A review of the last decade
Bottani, E., & Vignali, G. (2019) · IISE Transactions · doi:10.1080/24725854.2018.1493244 · Cited by 441
A survey of industrial augmented reality
de Souza Cardoso, L. F., Mariano, F. C. M. Q., & Zorzal, E. R. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2019.106159 · Cited by 322
Fernández del Amo, I., Erkoyuncu, J. A., Roy, R., Palmarini, R., & Onoufriou, D. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.08.007 · Cited by 234
Metadata
- Authors
- Wang, X., Ong, S. K., & Nee, A. Y. C.
- Venue
- Advances in Manufacturing
- Published
- 2016-01-12
- Volume
- 4
- Issue
- 1
- Pages
- 1-22
- ISSN
- 2095-3127 (ISSN-L)
- 2195-3597
- OpenAlex
- W2234485030
- Cited by
- 476
- References
- 2
- FWCI
- 28.30
- 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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: A comprehensive survey of augmented reality assembly research. https://app.cochat.ai/papers/10.1007/s40436-015-0131-4
- The paper
- Wang, X., Ong, S. K., & Nee, A. Y. C. (2016). A comprehensive survey of augmented reality assembly research. Advances in Manufacturing. https://doi.org/10.1007/s40436-015-0131-4
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.
