The DOI matches its Crossref record.
Strong Carbon‐Nanotube Fibers Spun from Long Carbon‐Nanotube Arrays
Abstract
Carbon fibers with a twist. Nanotube ribbons with good continuity are initially pulled from a carbon-nanotube (CNT) array of about 650 μm in diameter. The as-spun fiber is relatively loose with noticeable spaces between CNTs or CNT bundles. After spinning and post-spin twisting the packing density of the fibers increases (see figure). The mechanical properties of CNT fibers benefit from the relatively longer array and fiber post-spin treatment.
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
Cited by
High-Performance Carbon Nanotube Fiber
Koziol, K., Vilatela, J., Moisala, A., Motta, M., Cunniff, P., Sennett, M., & Windle, A. (2007) · Science · doi:10.1126/science.1147635 · Cited by 1,038
Twisting Carbon Nanotube Fibers for Both Wire‐Shaped Micro‐Supercapacitor and Micro‐Battery
Ren, J., Li, L., Chen, C., Chen, X., Cai, Z., Qiu, L., Wang, Y., Zhu, X., & Peng, H. (2013) · Advanced Materials · doi:10.1002/adma.201203445 · Cited by 786
Shah, K. A., & Tali, B. A. (2016) · Materials Science in Semiconductor Processing · doi:10.1016/j.mssp.2015.08.013 · Cited by 622
An assessment of the science and technology of carbon nanotube-based fibers and composites
Chou, T.-W., Gao, L., Thostenson, E. T., Zhang, Z., & Byun, J.-H. (2010) · Composites Science and Technology · doi:10.1016/j.compscitech.2009.10.004 · Cited by 566
Carbon-Based Fibers for Advanced Electrochemical Energy Storage Devices
Chen, S., Qiu, L., & Cheng, H.-M. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00466 · Cited by 555
Metadata
- Authors
- Zhang, X., Li, Q., Tu, Y., Li, Y., Coulter, J. Y., Zheng, L., Zhao, Y., Jia, Q., Peterson, D. E., & Zhu, Y.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2007-01-29
- Volume
- 3
- Issue
- 2
- Pages
- 244-248
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W1989467392
- Cited by
- 392
- References
- 0
- FWCI
- 8.59
- 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: Strong Carbon‐Nanotube Fibers Spun from Long Carbon‐Nanotube Arrays. https://app.cochat.ai/papers/10.1002/smll.200600368
- The paper
- Zhang, X., Li, Q., Tu, Y., Li, Y., Coulter, J. Y., Zheng, L., Zhao, Y., Jia, Q., Peterson, D. E., & Zhu, Y. (2007). Strong Carbon‐Nanotube Fibers Spun from Long Carbon‐Nanotube Arrays. Small. https://doi.org/10.1002/smll.200600368
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.
