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Origin of rubber-like behaviour in metal alloys
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Citations
Cited by
Physical metallurgy of Ti–Ni-based shape memory alloys
Otsuka, K., & Ren, X. (2005) · Progress in Materials Science · doi:10.1016/j.pmatsci.2004.10.001 · Cited by 4,610
Self-citationRen, X. (2004) · Nature Materials · doi:10.1038/nmat1051 · Cited by 1,241
Self-citationRecent developments in the research of shape memory alloys
Otsuka, K., & Ren, X. (1999) · Intermetallics · doi:10.1016/s0966-9795(98)00070-3 · Cited by 889
Self-citationHuang, W. M., Ding, Z., Wang, C. C., Wei, J., Zhao, Y., & Purnawali, H. (2010) · Materials Today · doi:10.1016/s1369-7021(10)70128-0 · Cited by 747
Defects and Aliovalent Doping Engineering in Electroceramics
Feng, Y., Wu, J., Chi, Q., Li, W., Yu, Y., & Fei, W. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00507 · Cited by 353
Metadata
- Authors
- Ren, X., & Otsuka, K.
- Venue
- Nature
- Published
- 1997-10
- Volume
- 389
- Issue
- 6651
- Pages
- 579-582
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1590015329
- Cited by
- 243
- References
- 0
- FWCI
- 6.54
- 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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- CoChat. (2026). Citation check: Origin of rubber-like behaviour in metal alloys. https://app.cochat.ai/papers/10.1038/39277
- The paper
- Ren, X., & Otsuka, K. (1997). Origin of rubber-like behaviour in metal alloys. Nature. https://doi.org/10.1038/39277
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.