Anastasia A. Sozinova

Papers

Total Citations

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About

Anastasia A. Sozinova is a leading researcher at the intersection of digital transformation, agricultural innovation, and transborder market dynamics. Her work primarily focuses on the strategic implementation of Industry 4.0 technologies, with a particular emphasis on deep learning applications in agriculture and quality management in cross-border economic contexts. In her highly cited 2022 paper, "Model of Agriculture 4.0 Based on Deep Learning," Sozinova provides a comprehensive analysis of empirical experiences, current challenges, and applied solutions for integrating artificial intelligence into agricultural systems. Her companion study, "Marketing Quality Management in Industry 4.0 in Transborder Markets," examines the critical issue of product quality control during the late stages of the Third Digital Revolution, offering novel frameworks for managing quality across international boundaries. With each of these works garnering 6 citations, Sozinova’s contributions are recognized for bridging theoretical concepts with practical, real-world applications. Her research is particularly valuable for scholars and practitioners seeking to understand how deep learning and digital marketing strategies can optimize production and quality assurance in an increasingly interconnected global economy.