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Clustering Russian Federation Regions According to the Level of Socio-Economic Development with the Use of Machine Learning Methods
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Clustering Russian Federation Regions According to the Level of Socio-Economic Development with the Use of Machine Learning Methods (2021)Clustering Russian Federation Regions Acc…Studying the influence of the sectoral structure of Russian regions on their economic development using artificial intelligence methods (2025)Studying the influence of the…Research on the spatiotemporal characteristics of the socioeconomic development level of mountainous earthquake-stricken areas under a long-time series after the earthquake (2022)Research on the spatiotempora…Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake (2011)Carbon dioxide emission driving factors analysis and policy implications of Chinese cities: Combining geographically weighted regression with two-step cluster (2019)Evaluating urban agglomeration resilience to disaster in the Yangtze Delta city group in China (2021)Pandemic Challenges for the Technological Startups in the Russian Regions (2021)Strategizing the National Economy during a Period of Burgeoning Technological Sovereignty (2022)Industry of Russian Regions Under New Anti-Russian Sanctions (2024)
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  • 2025Studying the influence of the sectoral structure of Russian regions on their economic development using artificial intelligence methods5 cited
  • 2022Research on the spatiotemporal characteristics of the socioeconomic development level of mountainous earthquake-stricken areas under a long-time series after the earthquake3 cited

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