Companion-based multi-level finite element method for computing multiple solutions of nonlinear differential equations Article Swipe
Wenrui Hao
,
S. W. Lee
,
Young Ju Lee
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.camwa.2024.05.035
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.camwa.2024.05.035
Related Topics
Concepts
Metadata
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.camwa.2024.05.035
- OA Status
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- Cited By
- 3
- References
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4399709619Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.camwa.2024.05.035Digital Object Identifier
- Title
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Companion-based multi-level finite element method for computing multiple solutions of nonlinear differential equationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-15Full publication date if available
- Authors
-
Wenrui Hao, S. W. Lee, Young Ju LeeList of authors in order
- Landing page
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https://doi.org/10.1016/j.camwa.2024.05.035Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://www.ncbi.nlm.nih.gov/pmc/articles/11671158Direct OA link when available
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Mathematics, Nonlinear system, Finite element method, Applied mathematics, Element (criminal law), Differential equation, Extended finite element method, Mathematical analysis, Structural engineering, Engineering, Law, Quantum mechanics, Physics, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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44Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.79061156 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |