The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Shear thickening fluids in protective applications: A review
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
Brady, J. F., & Bossis, G. (1988) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fl.20.010188.000551 · Cited by 1,469
Barnes, H. A. (1989) · Journal of Rheology · doi:10.1122/1.550017 · Cited by 1,224
Magnetorheological fluids: a review
de Vicente, J., Klingenberg, D. J., & Hidalgo-Alvarez, R. (2011) · Soft Matter · doi:10.1039/c0sm01221a · Cited by 1,122
Shear thickening in colloidal dispersions
Wagner, N. J., & Brady, J. F. (2009) · Physics Today · doi:10.1063/1.3248476 · Cited by 994
Lee, Y. S., Wetzel, E. D., & Wagner, N. J. (2003) · Journal of Materials Science · doi:10.1023/a:1024424200221 · Cited by 896
Discontinuous Shear Thickening of Frictional Hard-Sphere Suspensions
Seto, R., Mari, R., Morris, J. F., & Denn, M. M. (2013) · Physical Review Letters · doi:10.1103/physrevlett.111.218301 · Cited by 704
Shear thickening, frictionless and frictional rheologies in non-Brownian suspensions
Mari, R., Seto, R., Morris, J. F., & Denn, M. M. (2014) · Journal of Rheology · doi:10.1122/1.4890747 · Cited by 648
Shear thickening in concentrated suspensions: phenomenology, mechanisms and relations to jamming
Brown, E., & Jaeger, H. M. (2014) · Reports on Progress in Physics · doi:10.1088/0034-4885/77/4/046602 · Cited by 648
The giant electrorheological effect in suspensions of nanoparticles
Wen, W., Huang, X., Yang, S., Lu, K., & Sheng, P. (2003) · Nature Materials · doi:10.1038/nmat993 · Cited by 593
Imaging the Microscopic Structure of Shear Thinning and Thickening Colloidal Suspensions
Cheng, X., McCoy, J. H., Israelachvili, J. N., & Cohen, I. (2011) · Science · doi:10.1126/science.1207032 · Cited by 524
Cited by
Metadata
- Authors
- Gürgen, S., Kuşhan, M. C., & Li, W.
- Venue
- Progress in Polymer Science
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 75
- Pages
- 48-72
- ISSN
- 0079-6700 (ISSN-L)
- OpenAlex
- W2736844413
- Cited by
- 426
- References
- 49
- FWCI
- 19.74
- 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: Shear thickening fluids in protective applications: A review. https://app.cochat.ai/papers/10.1016/j.progpolymsci.2017.07.003
- The paper
- Gürgen, S., Kuşhan, M. C., & Li, W. (2017). Shear thickening fluids in protective applications: A review. Progress in Polymer Science. https://doi.org/10.1016/j.progpolymsci.2017.07.003
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.
