Qiansha Zhang

Guangxi University of Finance and Economics

Papers

Total Citations

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About

Dr. Qiansha Zhang is at the forefront of integrating artificial intelligence with automation, specializing in the convergence of Robotic Process Automation (RPA), Generative AI (GAI), and Internet of Everything (IoE) services. Their seminal 2024 paper, "Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-powered IoE Services," has already garnered 30 citations, establishing a new paradigm for intelligent, sustainable digital ecosystems. Dr. Zhang's major contribution lies in demonstrating how the fusion of RPA and GAI can dramatically streamline routine tasks while simultaneously catalyzing innovation and minimizing operational waste. This work offers a transformative blueprint for industries seeking to balance efficiency with environmental responsibility, positioning Dr. Zhang as a leading voice in the next wave of automation. Their research not only advances theoretical frameworks but also provides actionable insights for practitioners, making complex technological synergies accessible and impactful. With a growing citation footprint and a clear vision for a smarter, greener future, Dr. Zhang is shaping how organizations harness AI-driven automation to achieve unprecedented productivity gains.