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Current Sharing Analysis of SiC Power Modules in Parallel Operation
Overview
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Citations
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Cited by 12
Research works printed but not linked: 7
- la mantia, 2017, Design Rules for Paralleling of Silicon Carbide Power MOSFETs, PCIJM Europe 2017 International Exhibition and Conference for Power Electronics Intelligent Motion Renewable Energy and Energy Management, 1
- mao, 0, Passive Balancing of Switching Transients between Paralleled SiC MOSFETs
- 10.1109/TPEL.2015.2408054 · DOI · Paper page
- 10.1109/APEC.2014.6803502 · DOI
- 10.1109/ECCE.2018.8558216 · DOI
- 10.1109/ESARS.2015.7101514 · DOI
- 10.1109/IPEC.2014.6870032 · DOI
Metadata
- Authors
- Zhang, Y., Zhang, Z., Hu, B., Alsaif, F., Alkhalid, K., Li, X., & Wang, J.
- Venue
- 2020 IEEE Energy Conversion Congress and Exposition (ECCE)
- Publisher
- IEEE
- Published
- 2020-10-11
- Pages
- 711-716
- Cited by
- 12
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.
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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: Current Sharing Analysis of SiC Power Modules in Parallel Operation. https://app.cochat.ai/papers/10.1109/ecce44975.2020.9236326
- The paper
- Zhang, Y., Zhang, Z., Hu, B., Alsaif, F., Alkhalid, K., Li, X., & Wang, J. (2020). Current Sharing Analysis of SiC Power Modules in Parallel Operation. 2020 IEEE Energy Conversion Congress and Exposition (ECCE). https://doi.org/10.1109/ecce44975.2020.9236326
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.