7 citations as recorded by crossref.

1. Research Status of Relationship between Seismic Instrument Intensity and Ground Motion Parameters P. Ma et al. https://doi.org/10.1088/1757-899X/780/2/022002
2. Incorporating global search capability of a genetic algorithm into neural computing to model seismic records and soil test data T. Kerh et al. https://doi.org/10.1007/s00521-015-2077-7
3. Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks G. Tselentis https://doi.org/10.5194/nhess-11-3097-2011
4. Relationship between isoseismal area and magnitude of historical earthquakes in Greece by a hybrid fuzzy neural network method G. Tselentis & E. Sokos https://doi.org/10.5194/nhess-12-37-2012
5. Seismic Design Value Evaluation Based on Checking Records and Site Geological Conditions Using Artificial Neural Networks T. Kerh et al. https://doi.org/10.1155/2013/242941
6. Prediction of modified Mercalli intensity from PGA, PGV, moment magnitude, and epicentral distance using several nonlinear statistical algorithms D. Alvarez et al. https://doi.org/10.1007/s10950-012-9291-x
7. Developing hybrid parameters for measuring damage potential of earthquake records: case for RC building stock H. Ozmen https://doi.org/10.1007/s10518-016-0080-8