Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys
- DOI
- 10.1039/d3cp00402c
- Published
- 2023
- Container
- Physical Chemistry Chemical Physics
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1039/d3cp00402c,
title = {Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys},
author = {Zeyu Xia and Kan Ma and Sibo Cheng and Thomas Blackburn and Ziling Peng and Kewei Zhu and Weihang Zhang and Dunhui Xiao and Alexander J Knowles and Rossella Arcucci},
year = {2023},
journal = {Physical Chemistry Chemical Physics},
doi = {10.1039/d3cp00402c},
url = {https://doi.org/10.1039/d3cp00402c}
}RIS
TY - JOUR TI - Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys AU - Zeyu Xia AU - Kan Ma AU - Sibo Cheng AU - Thomas Blackburn AU - Ziling Peng AU - Kewei Zhu AU - Weihang Zhang AU - Dunhui Xiao AU - Alexander J Knowles AU - Rossella Arcucci PY - 2023 JO - Physical Chemistry Chemical Physics DO - 10.1039/d3cp00402c UR - https://doi.org/10.1039/d3cp00402c ER -
APA
Xia, Z., Ma, K., Cheng, S., Blackburn, T., Peng, Z., Zhu, K., Zhang, W., Xiao, D., Knowles, A. J., & Arcucci, R. (2023). Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys. Physical Chemistry Chemical Physics. https://doi.org/10.1039/d3cp00402c
Source records
- crossref · retrieved 2026-09-26T19:54:47.998Z