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Cited by 61Air Quality and Health ImpactsIndustrial and Mining SafetyNanoparticles: synthesis and applications

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Dustiness test of nanopowders using a standard rotating drum with a modified sampling train

Tsai, Chuen-Jinn, Wu, Chien-Hsien, Leu, Ming-Long, Chen, Sheng-Chieh, Huang, Cheng-Yu, Tsai, Perng-Jy, Ko, Fu-Hsiang·2009·Journal of Nanoparticle Research

Overview

Integrity signals

Registry

Crossref · 10.1007/s11051-008-9453-5

Cites

14 of 14 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.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 14 references

Research works printed but not linked: 4

  1. Hamelmann F, Schmidt E (2003) Method of estimating the dustiness of indurstrial powders—A review. KONA—Powder Science & Technology in Japan No.21
  2. Isamu O, Sakurai H, Gamo M (2007) Dustiness testing of engineered nano-materials. In: Abstract, 3rd international symposium on nanotechnology, occupation and environmental health, Taipei, Taiwan, 29 Aug–1 Sep 2007
  3. Mark D, Bard D, Thorpe A, Wake D (2007) Some considerations for the measurement of the dustiness of nanopowders. In: 3rd international symposium on nanotechnology, occupational and environmental health, Taipei, Taiwan, 29 Aug–1 Sep 2007
  4. NIOSH (2005) NIOSH current intelligence bulletin: evaluation of health hazard and recommendations for occupational exposure to titanium dioxide (draft)

Cited by

See all 61

Metadata

Authors
Tsai, C.-J., Wu, C.-H., Leu, M.-L., Chen, S.-C., Huang, C.-Y., Tsai, P.-J., & Ko, F.-H.
Affiliations
  • National Yang Ming Chiao Tung University (TW)
  • National Cheng Kung University (TW)
Corresponding author
Tsai, Chuen-Jinn
Venue
Journal of Nanoparticle Research
Published
2008-07-02
Volume
11
Issue
1
Pages
121-131
ISSN
  • 1388-0764 (ISSN-L)
  • 1572-896X
OpenAlex
W1998027717
Cited by
61
References
14
Citations by year
2026: 1 · 2025: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 2 · 2017: 3 · 2016: 4 · 2015: 8 · 2014: 7 · 2013: 5 · 2012: 10
FWCI
2.98
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
Journal of Nanoparticle Research (publishedVersion)
Funders
National Science Council
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Industrial and Mining Safety
  • Physical Sciences › Materials Science › Materials Chemistry › Nanoparticles: synthesis and applications
Keywords
nanopowders, dustiness, nano-TiO2, zinc oxide, respirable particles, particle size distribution, mass distribution, agglomerates, bulk density

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.