The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries
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Citations
Cites
Ng, K. S., Moo, C.-S., Chen, Y.-P., & Hsieh, Y.-C. (2009) · Applied Energy · doi:10.1016/j.apenergy.2008.11.021 · Cited by 1,636
Waag, W., Käbitz, S., & Sauer, D. U. (2013) · Applied Energy · doi:10.1016/j.apenergy.2012.09.030 · Cited by 987
Han, X., Ouyang, M., Lu, L., Li, J., Zheng, Y., & Li, Z. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.11.029 · Cited by 822
A review on prognostics and health monitoring of Li-ion battery
Zhang, J., & Lee, J. (2011) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.03.101 · Cited by 792
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
Weng, C., Cui, Y., Sun, J., & Peng, H. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.02.012 · Cited by 561
Dubarry, M., Svoboda, V., Hwu, R., & Yann Liaw, B. (2006) · Electrochemical and Solid-State Letters · doi:10.1149/1.2221767 · Cited by 427
Characterizing aging effects of lithium ion batteries by impedance spectroscopy
Tröltzsch, U., Kanoun, O., & Tränkler, H.-R. (2006) · Electrochimica Acta · doi:10.1016/j.electacta.2005.02.148 · Cited by 427
Weng, C., Feng, X., Sun, J., & Peng, H. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.07.126 · Cited by 324
Xiong, R., Yu, Q., Wang, L. Y., & Lin, C. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.05.136 · Cited by 293
Self-citation
Cited by
Xiong, R., Li, L., & Tian, J. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.10.019 · Cited by 1,017
Self-citationA brief review on key technologies in the battery management system of electric vehicles
Liu, K., Li, K., Peng, Q., & Zhang, C. (2019) · Frontiers of Mechanical Engineering · doi:10.1007/s11465-018-0516-8 · Cited by 635
Xiong, R., Li, L., Li, Z., Yu, Q., & Mu, H. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.03.053 · Cited by 326
Self-citationLiu, 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
Xia, F., Wang, K., & Chen, J. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107161 · Cited by 168
Metadata
- Authors
- Xiong, R., Tian, J., Mu, H., & Wang, C.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 207
- Pages
- 372-383
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2621249114
- Cited by
- 283
- References
- 10
- FWCI
- 16.39
- 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.
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- CoChat. (2026). Citation check: A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries. https://app.cochat.ai/papers/10.1016/j.apenergy.2017.05.124
- The paper
- Xiong, R., Tian, J., Mu, H., & Wang, C. (2017). A systematic model-based degradation behavior recognition and health monitoring method for lithium-ion batteries. Applied Energy. https://doi.org/10.1016/j.apenergy.2017.05.124
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.
