The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
State-of-charge estimation and remaining useful life prediction of supercapacitors
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Citations
Cites
Hu, X., Xu, L., Lin, X., & Pecht, M. (2020) · Joule · doi:10.1016/j.joule.2019.11.018 · Cited by 1,320
State estimation for advanced battery management: Key challenges and future trends
Hu, X., Feng, F., Liu, K., Zhang, L., Xie, J., & Liu, B. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109334 · Cited by 857
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
Sun, F., Hu, X., Zou, Y., & Li, S. (2011) · Energy · doi:10.1016/j.energy.2011.03.059 · Cited by 614
Deng, Z., Hu, X., Lin, X., Che, Y., Xu, L., & Guo, W. (2020) · Energy · doi:10.1016/j.energy.2020.118000 · Cited by 423
A novel state of health estimation method of Li-ion battery using group method of data handling
Wu, J., Wang, Y., Zhang, X., & Chen, Z. (2016) · Journal of Power Sources · doi:10.1016/j.jpowsour.2016.07.065 · Cited by 235
Wu, L., Fu, X., & Guan, Y. (2016) · Applied Sciences · doi:10.3390/app6060166 · Cited by 203
Zhou, Y., Wang, Y., Wang, K., Kang, L., Peng, F., Wang, L., & Pang, J. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114169 · Cited by 201
Self-citationRealistic lifetime prediction approach for Li-ion batteries
Sarasketa-Zabala, E., Martinez-Laserna, E., Berecibar, M., Gandiaga, I., Rodriguez-Martinez, L. M., & Villarreal, I. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.10.115 · Cited by 191
Cited by
Cui, Z., Wang, L., Li, Q., & Wang, K. (2022) · International Journal of Energy Research · doi:10.1002/er.7545 · Cited by 384
Self-citationLi, Q., Li, D., Zhao, K., Wang, L., & Wang, K. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104215 · Cited by 331
Self-citationSorouri, H., Oshnoei, A., Che, Y., & Teodorescu, R. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113604 · Cited by 62
Oloyede, M., Akpakwu, G., Myburgh, H., De Freitas, A., & Kunatsa, T. (2024) · World Electric Vehicle Journal · doi:10.3390/wevj15090381 · Cited by 47
Ye, L.-H., He, Z., Ke, C.-L., Cheng, X., Zhao, X., Zhang, Z.-X., & Shi, A.-P. (2025) · Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering · doi:10.1177/09544070241287254 · Cited by 2
Metadata
- Authors
- Liu, C., Li, Q., & Wang, K.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 150
- Pages
- 111408
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W3180409751
- Cited by
- 191
- References
- 9
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: State-of-charge estimation and remaining useful life prediction of supercapacitors. https://app.cochat.ai/papers/10.1016/j.rser.2021.111408
- The paper
- Liu, C., Li, Q., & Wang, K. (2021). State-of-charge estimation and remaining useful life prediction of supercapacitors. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2021.111408
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.
