The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A Stretchable and Highly Sensitive Graphene‐Based Fiber for Sensing Tensile Strain, Bending, and Torsion
Abstract
Wearable sensors are increasingly finding their way into applications of kinesthetic sensing, personal health monitoring, and smart prosthetics/robotics. A graphene-based composite fiber sensor with a "compression spring" structure is fabricated, featuring the ability of detecting multiple kinds of deformation. This fiber sensor is integrated into wearable sensors for monitoring human activities and intricate movements of robotics successfully.
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
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Highly Stretchable and Sensitive Strain Sensor Based on Silver Nanowire–Elastomer Nanocomposite
Amjadi, M., Pichitpajongkit, A., Lee, S., Ryu, S., & Park, I. (2014) · ACS Nano · doi:10.1021/nn501204t · Cited by 2,350
A wearable and highly sensitive pressure sensor with ultrathin gold nanowires
Gong, S., Schwalb, W., Wang, Y., Chen, Y., Tang, Y., Si, J., Shirinzadeh, B., & Cheng, W. (2014) · Nature Communications · doi:10.1038/ncomms4132 · Cited by 2,064
A flexible and highly sensitive strain-gauge sensor using reversible interlocking of nanofibres
Pang, C., Lee, G.-Y., Kim, T.-I., Kim, S. M., Kim, H. N., Ahn, S.-H., & Suh, K.-Y. (2012) · Nature Materials · doi:10.1038/nmat3380 · Cited by 1,695
Ultrasensitive mechanical crack-based sensor inspired by the spider sensory system
Kang, D., Pikhitsa, P. V., Choi, Y. W., Lee, C., Shin, S. S., Piao, L., Park, B., Suh, K.-Y., Kim, T.-I., & Choi, M. (2014) · Nature · doi:10.1038/nature14002 · Cited by 1,626
Stretchable silicon nanoribbon electronics for skin prosthesis
Kim, J., Lee, M., Shim, H. J., Ghaffari, R., Cho, H. R., Son, D., Jung, Y. H., Soh, M., Choi, C., Jung, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms6747 · Cited by 1,435
Highly Stretchable Piezoresistive Graphene–Nanocellulose Nanopaper for Strain Sensors
Yan, C., Wang, J., Kang, W., Cui, M., Wang, X., Foo, C. Y., Chee, K. J., & Lee, P. S. (2014) · Advanced Materials · doi:10.1002/adma.201304742 · Cited by 1,179
Sensitive, High-Strain, High-Rate Bodily Motion Sensors Based on Graphene–Rubber Composites
Boland, C. S., Khan, U., Backes, C., O’Neill, A., McCauley, J., Duane, S., Shanker, R., Liu, Y., Jurewicz, I., Dalton, A. B., et al. (2014) · ACS Nano · doi:10.1021/nn503454h · Cited by 793
A Highly Elastic, Capacitive Strain Gauge Based on Percolating Nanotube Networks
Cohen, D. J., Mitra, D., Peterson, K., & Maharbiz, M. M. (2012) · Nano Letters · doi:10.1021/nl204052z · Cited by 501
Cited by
Carbonized Silk Fabric for Ultrastretchable, Highly Sensitive, and Wearable Strain Sensors
Wang, C., Li, X., Gao, E., Jian, M., Xia, K., Wang, Q., Xu, Z., Ren, T., & Zhang, Y. (2016) · Advanced Materials · doi:10.1002/adma.201601572 · Cited by 916
Pang, Y., Zhang, K., Yang, Z., Jiang, S., Ju, Z., Li, Y., Wang, X., Wang, D., Jian, M., Zhang, Y., et al. (2018) · ACS Nano · doi:10.1021/acsnano.7b07613 · Cited by 774
Significance of Nanomaterials in Wearables: A Review on Wearable Actuators and Sensors
Jayathilaka, W. A. D. M., Qi, K., Qin, Y., Chinnappan, A., Serrano‐García, W., Baskar, C., Wang, H., He, J., Cui, S., Thomas, S. W., et al. (2019) · Advanced Materials · doi:10.1002/adma.201805921 · Cited by 627
Liu, Q., Chen, J., Li, Y., & Shi, G. (2016) · ACS Nano · doi:10.1021/acsnano.6b03813 · Cited by 609
Graphene Textile Strain Sensor with Negative Resistance Variation for Human Motion Detection
Yang, Z., Pang, Y., Han, X.-L., Yang, Y., Ling, J., Jian, M., Zhang, Y., Yang, Y., & Ren, T.-L. (2018) · ACS Nano · doi:10.1021/acsnano.8b03391 · Cited by 563
Metadata
- Authors
- Cheng, Y., Wang, R., Sun, J., & Gao, L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-10-19
- Volume
- 27
- Issue
- 45
- Pages
- 7365-7371
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2127243703
- Cited by
- 796
- References
- 9
- FWCI
- 29.72
- 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: A Stretchable and Highly Sensitive Graphene‐Based Fiber for Sensing Tensile Strain, Bending, and Torsion. https://app.cochat.ai/papers/10.1002/adma.201503558
- The paper
- Cheng, Y., Wang, R., Sun, J., & Gao, L. (2015). A Stretchable and Highly Sensitive Graphene‐Based Fiber for Sensing Tensile Strain, Bending, and Torsion. Advanced Materials. https://doi.org/10.1002/adma.201503558
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.