The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions
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Citations
Cites
Lithium Batteries: Status, Prospects and Future
Scrosati, B., & Garche, J. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.11.048 · Cited by 5,153
Cited by
Power-based electric vehicle energy consumption model: Model development and validation
Fiori, C., Ahn, K., & Rakha, H. A. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.097 · Cited by 641
A spatial–temporal model for grid impact analysis of plug-in electric vehicles
Mu, Y., Wu, J., Jenkins, N., Jia, H., & Wang, C. (2014) · Applied Energy · doi:10.1016/j.apenergy.2013.10.006 · Cited by 424
Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
He, H., Xiong, R., & Guo, H. (2012) · Applied Energy · doi:10.1016/j.apenergy.2011.08.005 · Cited by 388
A study on trends and developments in electric vehicle charging technologies
Hemavathi, S., & Shinisha, A. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105013 · Cited by 303
Energy consumption estimation integrated into the Electric Vehicle Routing Problem
Basso, R., Kulcsár, B., Egardt, B., Lindroth, P., & Sanchez-Diaz, I. (2019) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2019.01.006 · Cited by 290
Metadata
- Authors
- Doucette, R. T., & McCulloch, M. D.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 88
- Issue
- 7
- Pages
- 2315-2323
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2012961428
- Cited by
- 248
- References
- 1
- FWCI
- 16.04
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions. https://app.cochat.ai/papers/10.1016/j.apenergy.2011.01.045
- The paper
- Doucette, R. T., & McCulloch, M. D. (2011). Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions. Applied Energy. https://doi.org/10.1016/j.apenergy.2011.01.045
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.
