The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Activated carbon nanofiber produced from electrospun polyacrylonitrile nanofiber as a highly efficient formaldehyde adsorbent
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
Cogliano, V. J., Grosse, Y., Baan, R. A., Straif, K., Secretan, M. B., Ghissassi, F. E., & the Working Group for Volume 88 (2005) · Environmental Health Perspectives · doi:10.1289/ehp.7542 · Cited by 375
Cited by
Adsorption of VOCs onto engineered carbon materials: A review
Zhang, X., Gao, B., Creamer, A. E., Cao, C., & Li, Y. (2017) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2017.05.013 · Cited by 1,479
Nitrogen-containing porous carbons: synthesis and application
Shen, W., & Fan, W. (2013) · J. Mater. Chem. A · doi:10.1039/c2ta00028h · Cited by 698
Support Morphology-Dependent Catalytic Activity of Pd/CeO2for Formaldehyde Oxidation
Tan, H., Wang, J., Yu, S., & Zhou, K. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b01264 · Cited by 371
Khayyam, H., Jazar, R. N., Nunna, S., Golkarnarenji, G., Badii, K., Fakhrhoseini, S. M., Kumar, S., & Naebe, M. (2020) · Progress in Materials Science · doi:10.1016/j.pmatsci.2019.100575 · Cited by 325
Preparation of high adsorption capacity bio-chars from waste biomass
Liu, W.-J., Zeng, F.-X., Jiang, H., & Zhang, X.-S. (2011) · Bioresource Technology · doi:10.1016/j.biortech.2011.06.014 · Cited by 307
Metadata
- Authors
- Lee, K. J., Shiratori, N., Lee, G. H., Miyawaki, J., Mochida, I., Yoon, S.-H., & Jang, J.
- Venue
- Carbon
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 48
- Issue
- 15
- Pages
- 4248-4255
- ISSN
- 0008-6223 (ISSN-L)
- OpenAlex
- W1964317227
- Cited by
- 249
- References
- 1
- FWCI
- 11.45
- 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: Activated carbon nanofiber produced from electrospun polyacrylonitrile nanofiber as a highly efficient formaldehyde adsorbent. https://app.cochat.ai/papers/10.1016/j.carbon.2010.07.034
- The paper
- Lee, K. J., Shiratori, N., Lee, G. H., Miyawaki, J., Mochida, I., Yoon, S.-H., & Jang, J. (2010). Activated carbon nanofiber produced from electrospun polyacrylonitrile nanofiber as a highly efficient formaldehyde adsorbent. Carbon. https://doi.org/10.1016/j.carbon.2010.07.034
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.
