The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles
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Citations
Cites
Recycling lithium-ion batteries from electric vehicles
Harper, G., Sommerville, R., Kendrick, E., Driscoll, L., Slater, P., Stolkin, R., Walton, A., Christensen, P., Heidrich, O., Lambert, S., et al. (2019) · Nature · doi:10.1038/s41586-019-1682-5 · Cited by 3,890
Data-driven prediction of battery cycle life before capacity degradation
Severson, K. A., Attia, P. M., Jin, N., Perkins, N., Jiang, B., Yang, Z., Chen, M. H., Aykol, M., Herring, P. K., Fraggedakis, D., et al. (2019) · Nature Energy · doi:10.1038/s41560-019-0356-8 · Cited by 3,228
A review on the key issues of the lithium ion battery degradation among the whole life cycle
Han, X., Lu, L., Zheng, Y., Feng, X., Li, Z., Li, J., & Ouyang, M. (2019) · eTransportation · doi:10.1016/j.etran.2019.100005 · Cited by 1,745
Hu, X., Xu, L., Lin, X., & Pecht, M. (2020) · Joule · doi:10.1016/j.joule.2019.11.018 · Cited by 1,320
Self-citationData-driven health estimation and lifetime prediction of lithium-ion batteries: A review
Li, Y., Liu, K., Foley, A. M., Zülke, A., Berecibar, M., Nanini-Maury, E., Van Mierlo, J., & Hoster, H. E. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109254 · Cited by 1,193
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
Farmann, A., Waag, W., Marongiu, A., & Sauer, D. U. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.01.129 · Cited by 472
Tosun, N. (2006) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-004-2386-y · Cited by 470
Reniers, J. M., Mulder, G., & Howey, D. A. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.0281914jes · Cited by 462
Deng, Z., Hu, X., Lin, X., Che, Y., Xu, L., & Guo, W. (2020) · Energy · doi:10.1016/j.energy.2020.118000 · Cited by 423
Self-citation
Cited by
A Novel Hybrid Neural Network-Based SOH and RUL Estimation Method for Lithium-Ion Batteries
Chen, B., Liu, Y., & Xiao, B. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113074 · Cited by 95
He, Y., Deng, Z., Chen, J., Li, W., Zhou, J., Xiang, F., & Hu, X. (2024) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2024.06.024 · Cited by 75
Self-citationJin, H., Ru, R., Cai, L., Meng, J., Wang, B., Peng, J., & Yang, S. (2025) · Applied Energy · doi:10.1016/j.apenergy.2024.124629 · Cited by 39
Jing, H., Hu, J., Ou, S. (., Lv, Z., Lyu, R., & Zhao, J. (2025) · Journal of Energy Chemistry · doi:10.1016/j.jechem.2025.07.020 · Cited by 29
Metadata
- Authors
- Deng, Z., Xu, L., Liu, H., Hu, X., Duan, Z., & Xu, Y.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 339
- Pages
- 120954
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W4327954986
- Cited by
- 268
- References
- 38
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles. https://app.cochat.ai/papers/10.1016/j.apenergy.2023.120954
- The paper
- Deng, Z., Xu, L., Liu, H., Hu, X., Duan, Z., & Xu, Y. (2023). Prognostics of battery capacity based on charging data and data-driven methods for on-road vehicles. Applied Energy. https://doi.org/10.1016/j.apenergy.2023.120954
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.
