The DOI matches its Crossref record.
Introduction to Reticular Chemistry: Metal‐Organic Frameworks and Covalent Organic Frameworks
Abstract
Reticular chemistry has been applied to synthesize new classes of porous materials that are successfully used for myraid applications in areas such as gas separation, catalysis, energy, and electronics. Introduction to Reticular Chemistry gives an unique overview of the principles of the chemistry behind metal-organic frameworks (MOFs), covalent organic frameworks (COFs), and zeolitic imidazolate frameworks (ZIFs). Written by one of the pioneers in the field, this book covers all important aspects of reticular chemistry, including design and synthesis, properties and characterization, as well as current and future applications
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
Cited by
Chakraborty, G., Park, I.-H., Medishetty, R., & Vittal, J. J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01049 · Cited by 928
Orthogonal-array dynamic molecular sieving of propylene/propane mixtures
Zeng, H., Xie, M., Wang, T., Wei, R.-J., Xie, X.-J., Zhao, Y., Lu, W., & Li, D. (2021) · Nature · doi:10.1038/s41586-021-03627-8 · Cited by 622
Rapid Cycling and Exceptional Yield in a Metal-Organic Framework Water Harvester
Hanikel, N., Prévot, M. S., Fathieh, F., Kapustin, E. A., Lyu, H., Wang, H., Diercks, N. J., Glover, T. G., & Yaghi, O. M. (2019) · ACS Central Science · doi:10.1021/acscentsci.9b00745 · Cited by 620
Self-citationChiral Metal–Organic Frameworks
Gong, W., Chen, Z., Dong, J., Liu, Y., & Cui, Y. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00740 · Cited by 579
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis
Zheng, Z., Zhang, O., Borgs, C., Chayes, J. T., & Yaghi, O. M. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.3c05819 · Cited by 536
Self-citation
Metadata
- Authors
- Yaghi, O. M., Kalmutzki, M. J., & Diercks, C. S.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2019-03-29
- OpenAlex
- W4242673452
- Cited by
- 701
- References
- 0
- FWCI
- 32.42
- Type
- book
- 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: Introduction to Reticular Chemistry: Metal‐Organic Frameworks and Covalent Organic Frameworks. https://app.cochat.ai/papers/10.1002/9783527821099
- The paper
- Yaghi, O. M., Kalmutzki, M. J., & Diercks, C. S. (2019). Introduction to Reticular Chemistry: Metal‐Organic Frameworks and Covalent Organic Frameworks. Wiley eBooks. https://doi.org/10.1002/9783527821099
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.