36 citations as recorded by crossref.

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12. New fundamental period formulae for soil-reinforced concrete structures interaction using machine learning algorithms and ANNs D. Gravett et al. https://doi.org/10.1016/j.soildyn.2021.106656
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14. Forecasts of residential property price indices for Hong Kong through machine learning B. Jin & X. Xu https://doi.org/10.1108/FS-04-2025-0083
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16. Sensitivity Analysis of Machine Learning Models for the Mass Appraisal of Real Estate. Case Study of Residential Units in Nicosia, Cyprus T. Dimopoulos & N. Bakas https://doi.org/10.3390/rs11243047
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19. COMBINATION OF MACHINE LEARNING-BASED AUTOMATIC VALUATION MODELS FOR RESIDENTIAL PROPERTIES IN SOUTH KOREA J. Hong & W. Kim https://doi.org/10.3846/ijspm.2022.17909
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21. Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China B. Jin & X. Xu https://doi.org/10.1007/s00521-024-10726-w
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23. Forecasting Residential Real Estate Prices via Machine Learning for Taizhou City of Zhejiang Province in China B. Jin & X. Xu https://doi.org/10.1142/S3029104625500016
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26. Forecasts of Residential Real Estate Price Indices for Ten Major Chinese Cities through Gaussian Process Regressions B. Jin & X. Xu https://doi.org/10.1142/S2810943024500136
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