The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Integrated tuneable synthesis of liquid fuels via Fischer–Tropsch technology
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
The Fischer-Tropsch process: 1950-2000
Dry, M. E. (2002) · Catalysis Today · doi:10.1016/s0920-5861(01)00453-9 · Cited by 2,061
Cerqueira, H. S., Caeiro, G., Costa, L., & Ramôa Ribeiro, F. (2008) · Journal of Molecular Catalysis A: Chemical · doi:10.1016/j.molcata.2008.06.014 · Cited by 425
Cited by
Pan, X., Jiao, F., Miao, D., & Bao, X. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01012 · Cited by 423
Significant Advances in C1 Catalysis: Highly Efficient Catalysts and Catalytic Reactions
Bao, J., Yang, G., Yoneyama, Y., & Tsubaki, N. (2019) · ACS Catalysis · doi:10.1021/acscatal.8b03924 · Cited by 367
Self-citationHighly Active ZnO-ZrO2 Aerogels Integrated with H-ZSM-5 for Aromatics Synthesis from Carbon Dioxide
Zhou, C., Shi, J., Zhou, W., Cheng, K., Zhang, Q., Kang, J., & Wang, Y. (2020) · ACS Catalysis · doi:10.1021/acscatal.9b04309 · Cited by 361
Self-citationIssues and challenges of Fischer–Tropsch synthesis catalysts
Amin, M., Usman, M., Kella, T., Khan, W. U., Khan, I. A., & Hoon Lee, K. (2024) · Frontiers in Chemistry · doi:10.3389/fchem.2024.1462503 · Cited by 52
Fischer–Tropsch Synthesis Catalysts for Selective Production of Diesel Fraction
Mazurova, K., Miyassarova, A., Eliseev, O., Stytsenko, V., Glotov, A., & Stavitskaya, A. (2023) · Catalysts · doi:10.3390/catal13081215 · Cited by 28
Metadata
- Authors
- Li, J., He, Y., Tan, L., Zhang, P., Peng, X., Oruganti, A., Yang, G., Abe, H., Wang, Y., & Tsubaki, N.
- Venue
- Nature Catalysis
- Published
- 2018-09-17
- Volume
- 1
- Issue
- 10
- Pages
- 787-793
- ISSN
- 2520-1158 (ISSN-L)
- OpenAlex
- W2890322428
- Cited by
- 488
- References
- 2
- FWCI
- 9.40
- 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: Integrated tuneable synthesis of liquid fuels via Fischer–Tropsch technology. https://app.cochat.ai/papers/10.1038/s41929-018-0144-z
- The paper
- Li, J., He, Y., Tan, L., Zhang, P., Peng, X., Oruganti, A., Yang, G., Abe, H., Wang, Y., & Tsubaki, N. (2018). Integrated tuneable synthesis of liquid fuels via Fischer–Tropsch technology. Nature Catalysis. https://doi.org/10.1038/s41929-018-0144-z
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.