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Cited by 257

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Optimized Li and Fe recovery from spent lithium-ion batteries via a solution-precipitation method

Zheng, Rujuan, Zhao, Li, Wang, Wenhui, Liu, Yuanlong, Ma, Quanxin, Mu, Deying, Li, Ruhong, Dai, Changsong·2016·RSC Advances

Abstract

A new process is optimized and presented for the recovery and regeneration of LiFePO 4 from spent lithium-ion batteries (LIBs).

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Crossref · 10.1039/c6ra05477c

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Metadata

Authors
Zheng, R., Zhao, L., Wang, W., Liu, Y., Ma, Q., Mu, D., Li, R., & Dai, C.
Venue
RSC Advances
Published
2016
Volume
6
Issue
49
Pages
43613-43625
ISSN
2046-2069 (ISSN-L)
OpenAlex
W2337491165
Cited by
257
References
17
FWCI
8.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Optimized Li and Fe recovery from spent lithium-ion batteries via a solution-precipitation method. https://app.cochat.ai/papers/10.1039/c6ra05477c
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Zheng, R., Zhao, L., Wang, W., Liu, Y., Ma, Q., Mu, D., Li, R., & Dai, C. (2016). Optimized Li and Fe recovery from spent lithium-ion batteries via a solution-precipitation method. RSC Advances. https://doi.org/10.1039/c6ra05477c

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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.