The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Two-dimensional metal–organic framework nanosheets for highly efficient electrocatalytic biomass 5-(hydroxymethyl)furfural (HMF) valorization
Abstract
2D metal–organic frameworks (MOFs) could promote biomass valorization, and electrooxidation of 5-(hydroxymethyl)furfural (HMF) into 2,5-furandicarboxylic acid (FDCA) with a highly efficient electrocatalytic performance.
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
Chemical Routes for the Transformation of Biomass into Chemicals
Corma, A., Iborra, S., & Velty, A. (2007) · Chemical Reviews · doi:10.1021/cr050989d · Cited by 5,970
Bozell, J. J., & Petersen, G. R. (2010) · Green Chemistry · doi:10.1039/b922014c · Cited by 4,566
Hydroxymethylfurfural, A Versatile Platform Chemical Made from Renewable Resources
van Putten, R.-J., van der Waal, J. C., de Jong, E., Rasrendra, C. B., Heeres, H. J., & de Vries, J. G. (2013) · Chemical Reviews · doi:10.1021/cr300182k · Cited by 2,886
Cited by
Yang, Y., & Mu, T. (2021) · Green Chemistry · doi:10.1039/d1gc00914a · Cited by 539
Pang, X., Bai, H., Zhao, H., Fan, W., & Shi, W. (2022) · ACS Catalysis · doi:10.1021/acscatal.1c04880 · Cited by 285
Deng, C., Toe, C. Y., Li, X., Tan, J., Yang, H., Hu, Q., & He, C. (2022) · Advanced Energy Materials · doi:10.1002/aenm.202201047 · Cited by 253
Xia, X., Xu, J., Yu, X., Yang, J., Li, A.-Z., Ji, K., Li, L., Ma, M., Shao, Q., Ge, R., et al. (2024) · Science Bulletin · doi:10.1016/j.scib.2024.06.015 · Cited by 70
Metadata
- Authors
- Cai, M., Zhang, Y., Zhao, Y., Liu, Q., Li, Y., & Li, G.
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 8
- Issue
- 39
- Pages
- 20386-20392
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W3083065449
- Cited by
- 172
- References
- 3
- FWCI
- 5.75
- 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: Two-dimensional metal–organic framework nanosheets for highly efficient electrocatalytic biomass 5-(hydroxymethyl)furfural (HMF) valorization. https://app.cochat.ai/papers/10.1039/d0ta07793c
- The paper
- Cai, M., Zhang, Y., Zhao, Y., Liu, Q., Li, Y., & Li, G. (2020). Two-dimensional metal–organic framework nanosheets for highly efficient electrocatalytic biomass 5-(hydroxymethyl)furfural (HMF) valorization. Journal of Materials Chemistry A. https://doi.org/10.1039/d0ta07793c
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.