The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Digital twin-based process reuse and evaluation approach for smart process planning
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
“an assembly process [33,41]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [41]
In the citing paper
“Some DT applications in literature do not comply with one of the two mentioned groups, as they are developed specifically to offer one single service, such as only for system monitoring ([67,72]), or for performance optimization ([41,64,73]).”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [41]
In the citing paper
“in other cases the representation of the production system is done with a Discrete Event System (DES) model [28,37,41,44].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [41]
Citations
Cites
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716
Zhuang, C., Liu, J., & Xiong, H. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-018-1617-6 · Cited by 700
Self-citationToward a Digital Twin for real-time geometry assurance in individualized production
Söderberg, R., Wärmefjord, K., Carlson, J. S., & Lindkvist, L. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.038 · Cited by 543
Zhang, H., Liu, Q., Chen, X., Zhang, D., & Leng, J. (2017) · IEEE Access · doi:10.1109/access.2017.2766453 · Cited by 471
Engineers' CAx education—it's not only CAD
Dankwort, C. W., Weidlich, R., Guenther, B., & Blaurock, J. (2004) · Computer-Aided Design · doi:10.1016/j.cad.2004.02.011 · Cited by 117
Bensmaïne, A., Dahane, M., & Benyoucef, L. (2014) · International Journal of Production Research · doi:10.1080/00207543.2013.878056 · Cited by 99
Paradigm shift: unified and associative feature-based concurrent and collaborative engineering
Ma, Y., Chen, G., & Thimm, G. (2008) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-008-0128-y · Cited by 95
Capturing and reusing knowledge in engineering change management: A case of automobile development
Lee, H. J., Ahn, H. J., Kim, J. W., & Park, S. J. (2006) · Information Systems Frontiers · doi:10.1007/s10796-006-9009-0 · Cited by 89
Hoque, A., Halder, P. K., Parvez, M., & Szecsi, T. (2013) · Computers & Industrial Engineering · doi:10.1016/j.cie.2013.08.016 · Cited by 74
Research works printed but not linked: 4
- Glaessgen E, Stargel D. (2012) The digital twin paradigm for future NASA and US Air Force vehicles. 53rd AIAA/ASME/ASCE/ AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA 1818
- Hochhalter J Leser WP, Newman JA (2014) Coupling damage sensing particles to the digital twin concept. NASA Technical Reports Server 1(1):1–9
- Tao F, Zhang M, Cheng J, Qi Q (2017) Digital twin workshop: a new paradigm for future workshop. Comput Integr Manuf Syst 23(1):1–9
- Tao F, Liu W, Liu J, Liu X, Liu Q et al (2018) Digital twin and its potential application exploration. Comput Integr Manuf Syst 24(1):1–18
Cited by
Sorted by citations
Lu, Y., Liu, C., Wang, K. I., Huang, H., & Xu, X. W. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.101837 · Cited by 1,753
Review of digital twin applications in manufacturing
Cimino, C., Negri, E., & Fumagalli, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103130 · Cited by 874
Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616
Leng, J., Liu, Q., Ye, S., Jing, J., Wang, Y., Zhang, C., Zhang, D., & Chen, X. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.101895 · Cited by 343
Metadata
- Authors
- Liu, J., Zhou, H., Tian, G., Liu, X., & Jing, X.
- Affiliations
- Jiangsu University of Science and Technology (CN)
- Southeast University (CN)
- Corresponding author
- Liu, Jinfeng
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2018-10-06
- Volume
- 100
- Issue
- 5-8
- Pages
- 1619-1634
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W2895370217
- Cited by
- 131
- References
- 38
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 9 · 2023: 21 · 2022: 30 · 2021: 22 · 2020: 17 · 2019: 13
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The International Journal of Advanced Manufacturing Technology (publishedVersion)
- Funders
- the National Natural Science Foundation of China (51605204)
- China Postdoctoral Science Foundation (No. 2018M630536)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Engineering Technology and Methodologies
- Keywords
- digital twin, machining process planning, big data, association rule mining
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 ›
Are you an author, or do you see a problem with this page? Request a review
