The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Solvothermal synthesis of MIL–53(Fe) hybrid magnetic composites for photoelectrochemical water oxidation and organic pollutant photodegradation under visible light
Abstract
The novel MIL–53(Fe) hybrid magnetic composites (MHMCs) exhibited efficient visible light photoelectrochemical performance toward water oxidation and enhanced visible light photocatalytic activity for organic pollutant degradation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cui, Y., Ding, Z., Liu, P., Antonietti, M., Fu, X., & Wang, X. (2012) · Phys. Chem. Chem. Phys. · doi:10.1039/c1cp22820j · Cited by 585
Cited by
Pristine Metal–Organic Frameworks and their Composites for Energy Storage and Conversion
Liang, Z., Qu, C., Guo, W., Zou, R., & Xu, Q. (2018) · Advanced Materials · doi:10.1002/adma.201702891 · Cited by 787
Modified metal-organic frameworks as photocatalysts
Qiu, J., Zhang, X., Feng, Y., Zhang, X., Wang, H., & Yao, J. (2018) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2018.03.039 · Cited by 499
Liu, X., Zhou, Y., Zhang, J., Tang, L., Luo, L., & Zeng, G. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b02563 · Cited by 312
Magnetic metal–organic framework composites for environmental monitoring and remediation
Meteku, B. E., Huang, J., Zeng, J., Subhan, F., Feng, F., Zhang, Y., Qiu, Z., Aslam, S., Li, G., & Yan, Z. (2020) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2020.213261 · Cited by 133
Metadata
- Authors
- Zhang, C., Ai, L., & Jiang, J.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 3
- Issue
- 6
- Pages
- 3074-3081
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2008520153
- Cited by
- 281
- References
- 1
- FWCI
- 5.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Solvothermal synthesis of MIL–53(Fe) hybrid magnetic composites for photoelectrochemical water oxidation and organic pollutant photodegradation under visible light. https://app.cochat.ai/papers/10.1039/c4ta04622f
- The paper
- Zhang, C., Ai, L., & Jiang, J. (2015). Solvothermal synthesis of MIL–53(Fe) hybrid magnetic composites for photoelectrochemical water oxidation and organic pollutant photodegradation under visible light. Journal of Materials Chemistry A. https://doi.org/10.1039/c4ta04622f
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.