The DOI matches its Crossref record.
CNN: A Paradigm for Complexity
Overview
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Integrity signals
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Claims the paper makes
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Citations
Cited by
Memristor-based neural networks
Thomas, A. (2013) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/46/9/093001 · Cited by 471
HODGKIN–HUXLEY AXON IS MADE OF MEMRISTORS
CHUA, L., SBITNEV, V., & KIM, H. (2012) · International Journal of Bifurcation and Chaos · doi:10.1142/s021812741230011x · Cited by 319
Self-citationMemristor, Hodgkin–Huxley, and Edge of Chaos
Chua, L. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/383001 · Cited by 253
Self-citationSah, M. P., Kim, H., & Chua, L. O. (2014) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2013.2296414 · Cited by 219
Self-citationOscillator Made of Only One Memristor and One Battery
Sah, M. P., Mannan, Z. I., Kim, H., & Chua, L. (2015) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127415300104 · Cited by 37
Self-citation
Metadata
- Authors
- Chua, L. O.
- Venue
- World Scientific Series on Nonlinear Science Series A
- Publisher
- WORLD SCIENTIFIC
- Published
- 1998-06
- ISSN
- 1793-1010 (ISSN-L)
- DOI
- 10.1142/3801
- OpenAlex
- W4292365908
- Cited by
- 410
- References
- 0
- FWCI
- 3.38
- Type
- book
- Language
- en
- Open access
- closed
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.
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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: CNN: A Paradigm for Complexity. https://app.cochat.ai/papers/10.1142/3801
- The paper
- Chua, L. O. (1998). CNN: A Paradigm for Complexity. World Scientific Series on Nonlinear Science Series A. https://doi.org/10.1142/3801
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.