The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries
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Cites
Wang, Y., Tian, J., Sun, Z., Wang, L., Xu, R., Li, M., & Chen, Z. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110015 · Cited by 1,377
Gaussian Processes for Machine Learning (GPML) Toolbox
Rasmussen, C. E., & Nickisch, H. (2010) · Max Planck Institute for Plasma Physics · doi:10.5555/1756006.1953029 · Cited by 895
Zhang, Y., Tang, Q., Zhang, Y., Wang, J., Stimming, U., & Lee, A. A. (2020) · Nature Communications · doi:10.1038/s41467-020-15235-7 · Cited by 889
Yang, D., Zhang, X., Pan, R., Wang, Y., & Chen, Z. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.03.015 · Cited by 765
Random forest regression for online capacity estimation of lithium-ion batteries
Li, Y., Zou, C., Berecibar, M., Nanini-Maury, E., Chan, J. C.-W., van den Bossche, P., Van Mierlo, J., & Omar, N. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.09.182 · Cited by 727
Xiong, R., Pan, Y., Shen, W., Li, H., & Sun, F. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110048 · Cited by 725
Andre, D., Meiler, M., Steiner, K., Wimmer, C., Soczka-Guth, T., & Sauer, D. U. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.12.102 · Cited by 703
Machine learning pipeline for battery state-of-health estimation
Roman, D., Saxena, S., Robu, V., Pecht, M., & Flynn, D. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00312-3 · Cited by 660
Pastor-Fernández, C., Uddin, K., Chouchelamane, G. H., Widanage, W. D., & Marco, J. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.03.042 · Cited by 582
Andre, D., Meiler, M., Steiner, K., Walz, H., Soczka-Guth, T., & Sauer, D. U. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.07.071 · Cited by 547
Cited by
Hu, W., Peng, Y., Wei, Y., & Yang, Y. (2023) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.3c00033 · Cited by 429
Liu, Y., Wang, L., Li, D., & Wang, K. (2023) · Protection and Control of Modern Power Systems · doi:10.1186/s41601-023-00314-w · Cited by 279
Li, C., Yang, L., Li, Q., Zhang, Q., Zhou, Z., Meng, Y., Zhao, X., Wang, L., Zhang, S., Li, Y., et al. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111167 · Cited by 268
A review on rapid state of health estimation of lithium-ion batteries in electric vehicles
Wang, Z., Zhao, X., Fu, L., Zhen, D., Gu, F., & Ball, A. D. (2023) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2023.103457 · Cited by 107
Wang, Y., Guo, S., Cui, Y., Deng, L., Zhao, L., Li, J., & Wang, Z. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.116125 · Cited by 107
Metadata
- Authors
- Jiang, B., Zhu, J., Wang, X., Wei, X., Shang, W., & Dai, H.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 322
- Pages
- 119502
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W4283449925
- Cited by
- 367
- References
- 58
- FWCI
- 19.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries. https://app.cochat.ai/papers/10.1016/j.apenergy.2022.119502
- The paper
- Jiang, B., Zhu, J., Wang, X., Wei, X., Shang, W., & Dai, H. (2022). A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries. Applied Energy. https://doi.org/10.1016/j.apenergy.2022.119502
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.
