The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
New approach to synchronization analysis of linearly coupled ordinary differential systems
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Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
The chemical basis of morphogenesis
Turing, A. M. (1952) · Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences · doi:10.1098/rstb.1952.0012 · Cited by 11,733
The Geometry of Biological Time
Winfree, A. T. (1980) · doi:10.1007/978-3-662-22492-2 · Cited by 3,613
Cited by
Finite-time stochastic synchronization of complex networks
Yang, X., & Cao, J. (2010) · Applied Mathematical Modelling · doi:10.1016/j.apm.2010.03.012 · Cited by 323
Metadata
- Authors
- Lu, W., & Chen, T.
- Venue
- Physica D: Nonlinear Phenomena
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 213
- Issue
- 2
- Pages
- 214-230
- ISSN
- 0167-2789 (ISSN-L)
- OpenAlex
- W2068118500
- Cited by
- 620
- References
- 3
- FWCI
- 36.32
- Type
- journal article
- Language
- en
- Open access
- closed
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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: New approach to synchronization analysis of linearly coupled ordinary differential systems. https://app.cochat.ai/papers/10.1016/j.physd.2005.11.009
- The paper
- Lu, W., & Chen, T. (2006). New approach to synchronization analysis of linearly coupled ordinary differential systems. Physica D: Nonlinear Phenomena. https://doi.org/10.1016/j.physd.2005.11.009
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.
