The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review
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Citations
Cites
Azuma, R. T. (1997) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.1997.6.4.355 · Cited by 10,121
A Taxonomy of Mixed Reality Visual Displays
Milgram, P., & Kishino, F. (1994) · IEICE Transactions on Information and Systems · Cited by 4,905
Parallel Tracking and Mapping for Small AR Workspaces
Klein, G., & Murray, D. (2007) · 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2007.4538852 · Cited by 4,346
Slater, M., & Wilbur, S. (1997) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.1997.6.6.603 · Cited by 3,034
Microsoft Kinect Sensor and Its Effect
Zhang, Z. (2012) · IEEE Multimedia · doi:10.1109/mmul.2012.24 · Cited by 2,487
Billinghurst, M., Clark, A., & Lee, G. (2015) · Foundations and Trends® in Human—Computer Interaction · doi:10.1561/1100000049 · Cited by 1,191
Model globally, match locally: Efficient and robust 3D object recognition
Drost, B., Ulrich, M., Navab, N., & Ilic, S. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540108 · Cited by 981
Industry use of virtual reality in product design and manufacturing: a survey
Berg, L. P., & Vance, J. M. (2017) · Virtual Reality · doi:10.1007/s10055-016-0293-9 · Cited by 797
A systematic review of augmented reality applications in maintenance
Palmarini, R., Erkoyuncu, J. A., Roy, R., & Torabmostaedi, H. (2018) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2017.06.002 · Cited by 779
Augmented reality applications in design and manufacturing
Nee, A. Y. C., Ong, S. K., Chryssolouris, G., & Mourtzis, D. (2012) · CIRP Annals · doi:10.1016/j.cirp.2012.05.010 · Cited by 762
Cited by
Wünderlich, N. V., Blut, M., Brock, C., Heirati, N., Jensen, M., Paluch, S., Rötzmeier-Keuper, J., & Tóth, Z. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115284 · Cited by 21
Zielke, M. A., Zakhidov, D., Lo, T., Craig, S. D., Rege, R., Pyle, H., Meer, N. V., & Kuo, N. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2323280 · Cited by 15
Metadata
- Authors
- Eswaran, M., & Bahubalendruni, M. V. A. R.
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2022-10
- Volume
- 65
- Pages
- 260-278
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W4298126436
- Cited by
- 308
- References
- 141
- FWCI
- 20.56
- 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.
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- CoChat. (2026). Citation check: Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review. https://app.cochat.ai/papers/10.1016/j.jmsy.2022.09.016
- The paper
- Eswaran, M., & Bahubalendruni, M. V. A. R. (2022). Challenges and opportunities on AR/VR technologies for manufacturing systems in the context of industry 4.0: A state of the art review. Journal of Manufacturing Systems. https://doi.org/10.1016/j.jmsy.2022.09.016
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.