Ha Jin Hwang

About

Ha Jin Hwang is a forward-thinking researcher at the intersection of artificial intelligence, accounting, and business process automation. Her work centers on leveraging natural language processing (NLP) and robotic process automation (RPA) to transform traditional financial and operational workflows. In her highly cited 2023 study, she introduced a novel NLP strategy to improve digital accounting classification for supplier invoices within ERP transaction processing, offering a practical solution to a persistent challenge in enterprise systems. She has also contributed a comprehensive bibliometric analysis of the RPA domain, mapping key topics, challenges, and emerging solutions that guide both academics and practitioners. Though early in her citation trajectory—with her top papers garnering 4 and 3 citations respectively—Hwang’s research is gaining traction for its timely relevance as organizations increasingly seek intelligent automation. Her work stands out for its applied focus, bridging theoretical frameworks with real-world ERP and accounting needs, making her a rising voice in the digital transformation of business processes.

Research Focus

Key Achievements

Top Papers

1. 1
   A Novel Natural Language Processing Strategy to Improve Digital Accounting Classification Approach for Supplier Invoices ERP Transaction Process

   4 citations · 2023
2. 2
   Bibliometric Analysis of Robotic Process Automation Domain: Key Topics, Challenges and Solutions

   3 citations · 2023

Key Collaborators

Contact & Links