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Cited by 73Additive Manufacturing Materials and ProcessesManufacturing Process and OptimizationAdditive Manufacturing and 3D Printing Technologies

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Damage detection and reconstruction algorithm in repairing compressor blade by direct metal deposition

Zhang, Xinchang, Li, Wei, Liou, Frank·2018·The International Journal of Advanced Manufacturing Technology

Overview

Integrity signals

Registry

Crossref · 10.1007/s00170-017-1413-8

Cites

27 of 27 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 27 references

Research works printed but not linked: 1

  1. Dewangan R, Patel J, Dubey J, Sen PK, Bohidar SK (2015) Gas turbines blades-a critical review of failure on first and second stages. Int J Mech Eng Robot Res 4(1):216–223

Cited by

See all 73

Metadata

Authors
Zhang, X., Li, W., & Liou, F.
Affiliations
Missouri University of Science and Technology (US)
Corresponding author
Zhang, Xinchang
Venue
The International Journal of Advanced Manufacturing Technology
Published
2017-11-23
Volume
95
Issue
5-8
Pages
2393-2404
ISSN
  • 0268-3768 (ISSN-L)
  • 1433-3015
OpenAlex
W2770667121
Cited by
73
References
27
Citations by year
2026: 5 · 2025: 9 · 2024: 9 · 2023: 9 · 2022: 11 · 2021: 10 · 2020: 8 · 2019: 6 · 2018: 6
FWCI
4.25
Type
journal article
Language
en
Open access
closed
Licence
Locations
The International Journal of Advanced Manufacturing Technology (publishedVersion)
Funders
National Science Foundation (CMMI-1547042, CMMI 1625736)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Additive Manufacturing and 3D Printing Technologies
Keywords
damage detection, 3D reconstruction, jet engine blades, direct metal deposition, reverse engineering, tool path generation, Ti-6Al-4V, remanufacturing, curved blades, microstructure characterization

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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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Damage detection and reconstruction algorithm in repairing compressor blade by direct metal deposition. https://app.cochat.ai/papers/10.1007/s00170-017-1413-8
The paper
Zhang, X., Li, W., & Liou, F. (2018). Damage detection and reconstruction algorithm in repairing compressor blade by direct metal deposition. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-017-1413-8

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.