The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling
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Citations
Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
ANFIS: adaptive-network-based fuzzy inference system
Jang, J.-S. R. (1993) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.256541 · Cited by 16,254
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · doi:10.7551/mitpress/3927.001.0001 · Cited by 11,340
Measuring the Accuracy of Diagnostic Systems
Swets, J. A. (1988) · Science · doi:10.1126/science.3287615 · Cited by 10,058
Neuro-fuzzy modeling and control
Jang, J.-S. R., & Sun, C.-T. (1995) · Proceedings of the IEEE · doi:10.1109/5.364486 · Cited by 2,328
ANFIS: ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEMS
Jang, J. S. R. (1993) · Cited by 1,874
Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project
(1986) · Telematics and Informatics · doi:10.1016/s0736-5853(86)80073-9 · Cited by 1,701
Landslide hazard and risk zonation—why is it still so difficult?
van Westen, C. J., van Asch, T. W. J., & Soeters, R. (2005) · Bulletin of Engineering Geology and the Environment · doi:10.1007/s10064-005-0023-0 · Cited by 1,296
Cited by
Jaafari, A., Panahi, M., Pham, B. T., Shahabi, H., Bui, D. T., Rezaie, F., & Lee, S. (2019) · CATENA · doi:10.1016/j.catena.2018.12.033 · Cited by 253
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Metadata
- Authors
- Chen, W., Panahi, M., & Pourghasemi, H. R.
- Venue
- CATENA
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 157
- Pages
- 310-324
- ISSN
- 0341-8162 (ISSN-L)
- OpenAlex
- W2621028994
- Cited by
- 325
- References
- 55
- FWCI
- 77.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling. https://app.cochat.ai/papers/10.1016/j.catena.2017.05.034
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- Chen, W., Panahi, M., & Pourghasemi, H. R. (2017). Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling. CATENA. https://doi.org/10.1016/j.catena.2017.05.034
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.
