The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
An evolutionary approach for modeling of shear strength of RC deep beams
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
Genetic Programming: On the Programming of Computers by Means of Natural Selection
Koza, J. R. (1992) · Medical Entomology and Zoology · Cited by 13,082
Golbraikh, A., & Tropsha, A. (2002) · Journal of Molecular Graphics and Modelling · doi:10.1016/s1093-3263(01)00123-1 · Cited by 3,735
Gene Expression Programming: a New Adaptive Algorithm for Solving Problems
Ferreira, C. (2001) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0102027 · Cited by 2,036
On Some Aspects of Variable Selection for Partial Least Squares Regression Models
Roy, P. P., & Roy, K. (2008) · QSAR & Combinatorial Science · doi:10.1002/qsar.200710043 · Cited by 793
(2006) · Studies in Computational Intelligence · doi:10.1007/3-540-32849-1 · Cited by 784
Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures
Gandomi, A. H., Alavi, A. H., Mirzahosseini, M. R., & Nejad, F. M. (2011) · Journal of Materials in Civil Engineering · doi:10.1061/(asce)mt.1943-5533.0000154 · Cited by 311
Self-citationMetaheuristic Applications in Structures and Infrastructures
(2013) · Elsevier eBooks · doi:10.1016/c2011-0-08778-1 · Cited by 266
A robust data mining approach for formulation of geotechnical engineering systems
Hossein Alavi, A., & Hossein Gandomi, A. (2011) · Engineering Computations · doi:10.1108/02644401111118132 · Cited by 266
(1994) · Data Handling in Science and Technology · doi:10.1016/s0922-3487(08)x7003-0 · Cited by 194
Novel Approach to Strength Modeling of Concrete under Triaxial Compression
Gandomi, A. H., Babanajad, S. K., Alavi, A. H., & Farnam, Y. (2012) · Journal of Materials in Civil Engineering · doi:10.1061/(asce)mt.1943-5533.0000494 · Cited by 160
Self-citation
Metadata
- Authors
- Gandomi, A. H., Yun, G. J., & Alavi, A. H.
- Venue
- Materials and Structures
- Published
- 2013-03-08
- Volume
- 46
- Issue
- 12
- Pages
- 2109-2119
- ISSN
- 0025-5432 (ISSN-L)
- 1359-5997
- 1871-6873
- OpenAlex
- W1989788683
- Cited by
- 254
- References
- 23
- FWCI
- 19.64
- 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: An evolutionary approach for modeling of shear strength of RC deep beams. https://app.cochat.ai/papers/10.1617/s11527-013-0039-z
- The paper
- Gandomi, A. H., Yun, G. J., & Alavi, A. H. (2013). An evolutionary approach for modeling of shear strength of RC deep beams. Materials and Structures. https://doi.org/10.1617/s11527-013-0039-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.
