The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Personalized 4D printing of bioinspired tracheal scaffold concept based on magnetic stimulated shape memory composites
Abstract
Abstract Shape memory polymers (SMPs) can be triggered by an external stimulus to realize the shape changing from temporary shape to its original shape. Due to its biodegradability, easy forming properties and shape memory effect, SMPs have been widely considered in bio-medical applications. This paper details an application of SMP in personalized 4D printing of a bio-designed tracheal scaffold. Compared with the traditional tracheal scaffolds, the SMP tracheal scaffolds can conform to the issue to keep the best fixed state. Moreover, the design of tracheal scaffold based on the microstructure of the glass sponge exhibits higher strength and stability. The distinctive design endows it with the ability to adapt the complex environmental conditions in the soft-tissue of patients. Combined with 4D printing, the bioinspired tracheal scaffold can realize customization in consideration of different size of trachea. The SMP based bio-designed tracheal scaffolds showed excellent performances and were proved to be a potential replacement for the traditional tracheal scaffold.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Williams, M. L., Landel, R. F., & Ferry, J. D. (1955) · Journal of the American Chemical Society · doi:10.1021/ja01619a008 · Cited by 8,083
Printing three-dimensional tissue analogues with decellularized extracellular matrix bioink
Pati, F., Jang, J., Ha, D.-H., Won Kim, S., Rhie, J.-W., Shim, J.-H., Kim, D.-H., & Cho, D.-W. (2014) · Nature Communications · doi:10.1038/ncomms4935 · Cited by 1,904
Shape-memory polymers and their composites: stimulus methods and applications
Leng, J., Lan, X., Liu, Y., & Du, S. (2011) · Progress in Materials Science · doi:10.1016/j.pmatsci.2011.03.001 · Cited by 1,495
Self-citationTunable polymer multi-shape memory effect
Xie, T. (2010) · Nature · doi:10.1038/nature08863 · Cited by 1,380
Biological materials: Functional adaptations and bioinspired designs
Chen, P.-Y., McKittrick, J., & Meyers, M. A. (2012) · Progress in Materials Science · doi:10.1016/j.pmatsci.2012.03.001 · Cited by 766
Water-driven programmable polyurethane shape memory polymer: Demonstration and mechanism
Huang, W. M., Yang, B., An, L., Li, C., & Chan, Y. S. (2005) · Applied Physics Letters · doi:10.1063/1.1880448 · Cited by 616
Review of electro-active shape-memory polymer composite
Liu, Y., Lv, H., Lan, X., Leng, J., & Du, S. (2009) · Composites Science and Technology · doi:10.1016/j.compscitech.2008.08.016 · Cited by 548
Remote, fast actuation of programmable multiple shape memory composites by magnetic fields
Zhang, F. H., Zhang, Z. C., Luo, C. J., Lin, I.-T., Liu, Y., Leng, J., & Smoukov, S. K. (2015) · Journal of Materials Chemistry C · doi:10.1039/c5tc02464a · Cited by 112
Self-citation
Cited by
Kafle, A., Luis, E., Silwal, R., Pan, H. M., Shrestha, P. L., & Bastola, A. K. (2021) · Polymers · doi:10.3390/polym13183101 · Cited by 587
Fabrication of Biomedical Scaffolds Using Biodegradable Polymers.
Kirillova, A., Yeazel, T. R., Asheghali, D., Petersen, S. R., Dort, S., Gall, K., & Becker, M. L. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01200 · Cited by 368
Research Progress of Shape Memory Polymer and 4D Printing in Biomedical Application
Zhao, W., Yue, C., Liu, L., Liu, Y., & Leng, J. (2023) · Advanced Healthcare Materials · doi:10.1002/adhm.202201975 · Cited by 183
Self-citation
Metadata
- Authors
- Zhao, W., Zhang, F., Leng, J., & Liu, Y.
- Venue
- Composites Science and Technology
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 184
- Pages
- 107866
- ISSN
- 0266-3538 (ISSN-L)
- OpenAlex
- W2979636671
- Cited by
- 279
- References
- 8
- FWCI
- 14.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Personalized 4D printing of bioinspired tracheal scaffold concept based on magnetic stimulated shape memory composites. https://app.cochat.ai/papers/10.1016/j.compscitech.2019.107866
- The paper
- Zhao, W., Zhang, F., Leng, J., & Liu, Y. (2019). Personalized 4D printing of bioinspired tracheal scaffold concept based on magnetic stimulated shape memory composites. Composites Science and Technology. https://doi.org/10.1016/j.compscitech.2019.107866
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.