The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model
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Cites
Adam: A Method for Stochastic Optimization
Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946
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Correlation Coefficients: Appropriate Use and Interpretation
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Recent advances in convolutional neural networks
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Self-citationRandom forest regression for online capacity estimation of lithium-ion batteries
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Cited by
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
Self-citationBattery State of Health Estimate Strategies: From Data Analysis to End-Cloud Collaborative Framework
Yang, K., Zhang, L., Zhang, Z., Yu, H., Wang, W., Ouyang, M., Zhang, C., Sun, Q., Yan, X., Yang, S., et al. (2023) · Batteries · doi:10.3390/batteries9070351 · Cited by 58
Zhang, R., Ji, C., Zhou, X., Liu, T., Jin, G., Pan, Z., & Liu, Y. (2024) · Energy · doi:10.1016/j.energy.2024.131154 · Cited by 52
Zou, B., Xiong, M., Wang, H., Ding, W., Jiang, P., Hua, W., Zhang, Y., Zhang, L., Wang, W., & Tan, R. (2023) · Batteries · doi:10.3390/batteries9060329 · Cited by 39
Xue, J., Ma, W., Feng, X., Guo, P., Guo, Y., Hu, X., & Chen, B. (2023) · Energy · doi:10.1016/j.energy.2023.129279 · Cited by 36
Metadata
- Authors
- Gu, X., See, K. W., Li, P., Shan, K., Wang, Y., Zhao, L., Lim, K. C., & Zhang, N.
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 262
- Pages
- 125501
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W4296903331
- Cited by
- 373
- References
- 53
- FWCI
- 18.80
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Gu, X., See, K. W., Li, P., Shan, K., Wang, Y., Zhao, L., Lim, K. C., & Zhang, N. (2023). A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model. Energy. https://doi.org/10.1016/j.energy.2022.125501
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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.
