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Multidimensional Financial Metrics for Corporate Financial Risk Assessment and Early Warning Mechanisms
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References

  • 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods144 cited
  • 2022Research on optimization of an enterprise financial risk early warning method based on the DS-RF model122 cited
  • 2019A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT113 cited
  • 2019Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction94 cited
  • 2023E-Commerce Enterprises Financial Risk Prediction Based on FA-PSO-LSTM Neural Network Deep Learning Model71 cited
  • 2022Fintech, Bank Risk-Taking, and Risk-Warning for Commercial Banks in the Era of Digital Technology61 cited
  • 2023Research on Supply Chain Financial Risk Prevention Based on Machine Learning60 cited
  • 2021Evaluate the sustainable reuse strategy of the corporate financial management based on the big data model42 cited
  • 2023Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)42 cited
  • 2023Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework41 cited
  • 2022A Study on Early Warnings of Financial Crisis of Chinese Listed Companies Based on DEA–SVM Model39 cited
  • 2022DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks36 cited
  • 2022Sustainable Financing and Financial Risk Management of Financial Institutions—Case Study on Chinese Banks

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36 cited
  • 2024Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning30 cited
  • 2019Financial risk assessment model based on big data29 cited
  • 2020An early risk warning system for Outward Foreign Direct Investment in Mineral Resource-based enterprises using multi-classifiers fusion26 cited
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