Resilience assessment of China’s strategic mineral supply chain: A hybrid GRA–BP–LSTM approach for risk prediction and early warning
- DOI
- 10.1016/j.jnlssr.2026.100299
- Published
- 2026-06
- Container
- Journal of Safety Science and Resilience
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jnlssr.2026.100299,
title = {Resilience assessment of China’s strategic mineral supply chain: A hybrid GRA–BP–LSTM approach for risk prediction and early warning},
author = {Zhonglin Sheng and Zhiru Wang and Qing Deng and Lingyu Zhao and Xiaozhu Xu},
year = {2026},
journal = {Journal of Safety Science and Resilience},
doi = {10.1016/j.jnlssr.2026.100299},
url = {https://doi.org/10.1016/j.jnlssr.2026.100299}
}RIS
TY - JOUR TI - Resilience assessment of China’s strategic mineral supply chain: A hybrid GRA–BP–LSTM approach for risk prediction and early warning AU - Zhonglin Sheng AU - Zhiru Wang AU - Qing Deng AU - Lingyu Zhao AU - Xiaozhu Xu PY - 2026 JO - Journal of Safety Science and Resilience DO - 10.1016/j.jnlssr.2026.100299 UR - https://doi.org/10.1016/j.jnlssr.2026.100299 ER -
APA
Sheng, Z., Wang, Z., Deng, Q., Zhao, L., & Xu, X. (2026). Resilience assessment of China’s strategic mineral supply chain: A hybrid GRA–BP–LSTM approach for risk prediction and early warning. Journal of Safety Science and Resilience. https://doi.org/10.1016/j.jnlssr.2026.100299
Source records
- crossref · retrieved 2026-09-26T23:01:22.519Z