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About

Chanyuan Zhang is a pioneering accounting and auditing scholar whose research sits at the intersection of emerging technologies and professional practice. Her work focuses primarily on robotic process automation (RPA), intelligent process automation (IPA), artificial intelligence, and data ecosystems as transformative forces reshaping the accounting and auditing professions. Zhang's most influential contribution, "Intelligent Process Automation in Audit" (2019, 147 citations), established a foundational framework for understanding how RPA combined with AI can revolutionize audit workflows. Building on this, her case study research on RPA implementation in accounting (70 citations) provided practitioners with critical real-world insights into adoption benefits and challenges. Her 2021 work on attended process automation further refined how auditors can maintain meaningful judgment within increasingly automated environments. Beyond practice-oriented research, Zhang has demonstrated a commitment to accounting education, developing a comprehensive 14-week RPA curriculum to prepare the next generation of accounting professionals for a technology-driven landscape. Her 2019 piece on forthcoming data ecosystems and her 2023 study on AI and financial reporting quality reflect her broad vision for technology's role in business measurement and assurance. With nearly 320 total citations, Zhang stands as a leading voice in accounting technology scholarship.