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Cited by 2,975Nanofluid Flow and Heat TransferHeat Transfer and OptimizationHeat Transfer and Numerical Methods

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Buoyancy-driven heat transfer enhancement in a two-dimensional enclosure utilizing nanofluids

Khanafer, Khalil, Vafai, Kambiz, Lightstone, Marilyn·2003·International Journal of Heat and Mass Transfer

Overview

Integrity signals

Registry

Crossref · 10.1016/s0017-9310(03)00156-x

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Citations

Cites

Show all 25 references

Cited by

Metadata

Authors
Khanafer, K., Vafai, K., & Lightstone, M.
Affiliations
  • University of California, Riverside (US)
  • McMaster University (CA)
Venue
International Journal of Heat and Mass Transfer
Publisher
Elsevier BV
Published
2003-09
Volume
46
Issue
19
Pages
3639-3653
ISSN
0017-9310 (ISSN-L)
OpenAlex
W2132130554
Cited by
2,975
References
25
Citations by year
2026: 118 · 2025: 115 · 2024: 159 · 2023: 173 · 2022: 180 · 2021: 236 · 2020: 219 · 2019: 232 · 2018: 204 · 2017: 242 · 2016: 195 · 2015: 163 · 2014: 179 · 2013: 166 · 2012: 120
FWCI
9.46
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
International Journal of Heat and Mass Transfer (publishedVersion)
Topics
  • Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Nanofluid Flow and Heat Transfer
  • Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
  • Physical Sciences › Engineering › Computational Mechanics › Heat Transfer and Numerical Methods
Keywords
nanofluids, buoyancy-driven flow, natural convection, heat transfer enhancement, two-dimensional enclosure, solid particle dispersion, effective thermal conductivity, Nusselt number correlation, Grashof number, nanoparticle volume fraction, thermophysical properties, metal nanoparticles

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 ›

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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.