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
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Engine parts such as shafts [31,32], fan blades [20,33], compressor blades [9,34,35] and turbine blades [9,26,36-43] are also of particular interest as all are safety-critical to flight operations.”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [34]
Citations
Cites
The quickhull algorithm for convex hulls
Barber, C. B., Dobkin, D. P., & Huhdanpaa, H. (1996) · ACM Transactions on Mathematical Software · doi:10.1145/235815.235821 · Cited by 5,359
Thermal Barrier Coatings for Gas-Turbine Engine Applications
Padture, N. P., Gell, M., & Jordan, E. H. (2002) · Science · doi:10.1126/science.1068609 · Cited by 4,882
Laser additive manufacturing of metallic components: materials, processes and mechanisms
Gu, D. D., Meiners, W., Wissenbach, K., & Poprawe, R. (2012) · International Materials Reviews · doi:10.1179/1743280411y.0000000014 · Cited by 3,197
A review on 3D micro-additive manufacturing technologies
Vaezi, M., Seitz, H., & Yang, S. (2013) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-012-4605-2 · Cited by 1,293
Wilson, J. M., Piya, C., Shin, Y. C., Zhao, F., & Ramani, K. (2014) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2014.05.084 · Cited by 543
Control of melt pool temperature and deposition height during direct metal deposition process
Song, L., Bagavath-Singh, V., Dutta, B., & Mazumder, J. (2012) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-011-3395-2 · Cited by 283
Reichardt, A., Dillon, R. P., Borgonia, J. P., Shapiro, A. A., McEnerney, B. W., Momose, T., & Hosemann, P. (2016) · Materials & Design · doi:10.1016/j.matdes.2016.05.016 · Cited by 275
A repair and overhaul methodology for aeroengine components
Yilmaz, O., Gindy, N., & Gao, J. (2010) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2009.07.001 · Cited by 227
Gasser, A., Backes, G., Kelbassa, I., Weisheit, A., & Wissenbach, K. (2010) · Laser Technik Journal · doi:10.1002/latj.201090029 · Cited by 223
Massive transformation in Ti–6Al–4V additively manufactured by selective electron beam melting
Lu, S., Qian, M., Tang, H., Yan, M., Wang, J., & StJohn, D. H. (2015) · Acta Materialia · doi:10.1016/j.actamat.2015.11.011 · Cited by 218
Research works printed but not linked: 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
Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Aust, J., Shankland, S., Pons, D., Mukundan, R., & Mitrovic, A. (2021) · Aerospace · doi:10.3390/aerospace8020030 · Cited by 66
“parts such as shafts [31,32], fan blades [20,33], compressor blades [9,34,35] and turbine blades [9,26,36–43] are also of particular interest as all are safety-critical to flight operations.”
Background
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
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- 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.
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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.