The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
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
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
A Threshold Selection Method from Gray-Level Histograms
Otsu, N. (1979) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1979.4310076 · Cited by 43,398
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
The Whale Optimization Algorithm
Mirjalili, S., & Lewis, A. (2016) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2016.01.008 · Cited by 14,581
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
Martin, D., Fowlkes, C., Tal, D., & Malik, J. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937655 · Cited by 8,216
SCA: A Sine Cosine Algorithm for solving optimization problems
Mirjalili, S. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.022 · Cited by 5,696
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
Mirjalili, S. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.07.006 · Cited by 4,626
Firefly Algorithms for Multimodal Optimization
Yang, X.-S. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-04944-6_14 · Cited by 4,075
A new method for gray-level picture thresholding using the entropy of the histogram
Kapur, J. N., Sahoo, P. K., & Wong, A. K. C. (1985) · Computer Vision, Graphics, and Image Processing · doi:10.1016/0734-189x(85)90125-2 · Cited by 3,658
Cited by
Skin cancer diagnosis based on optimized convolutional neural network
Zhang, N., Cai, Y.-X., Wang, Y.-Y., Tian, Y.-T., Wang, X.-L., & Badami, B. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2019.101756 · Cited by 312
Multilevel Color Image Segmentation Based on GLCM and Improved Salp Swarm Algorithm
Xing, Z., & Jia, H. (2019) · IEEE Access · doi:10.1109/access.2019.2904511 · Cited by 78
A whale optimization system for energy-efficient container placement in data centers
Al-Moalmi, A., Luo, J., Salah, A., Li, K., & Yin, L. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113719 · Cited by 52
Metadata
- Authors
- Aziz, M. A. E., Ewees, A. A., & Hassanien, A. E.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 83
- Pages
- 242-256
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2605810061
- Cited by
- 560
- References
- 37
- FWCI
- 40.34
- 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: Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation. https://app.cochat.ai/papers/10.1016/j.eswa.2017.04.023
- The paper
- Aziz, M. A. E., Ewees, A. A., & Hassanien, A. E. (2017). Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2017.04.023
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.
