Victor Chang
Papers
6
Total Citations
411
H-Index
5
About
Professor Victor Chang is a leading researcher at the intersection of artificial intelligence, healthcare, and sustainable technology. His work focuses on developing intelligent frameworks that leverage disruptive technologies—including deep learning, knowledge graphs, and robotics—to solve pressing real-world challenges. Chang’s most impactful contribution is his 2020 paper on an intelligent framework for COVID-19 analysis, which has garnered 263 citations, demonstrating its critical role during the pandemic. He has also advanced Industry 5.0 by creating multi-criteria decision-making frameworks that evaluate the societal and environmental impact of smart technologies, as seen in his 2024 work (63 citations). In healthcare AI, Chang pioneered a Text-to-GraphQL model for intelligent medical chatbots (53 citations), bridging natural language processing and graph databases to improve patient communication. His research extends to environmental governance, exploring how industrial robots influence corporate sustainability in Chinese firms. Additionally, Chang has contributed to ethical discussions on autonomous robotic surgeries, ensuring that technological progress aligns with human values. With over 400 citations across his most-cited works, Victor Chang continues to shape the future of human-centered AI and sustainable digital transformation.
Research Focus
Key Achievements
Top Papers
- 1An intelligent framework using disruptive technologies for COVID-19 analysis263 citations · 2020
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- 6Ethical discussions for autonomous robotic surgeries2 citations · 2021