Raymond Leung

The University of Sydney

Papers

1

Total Citations

22

H-Index

1

About

Raymond Leung is a leading figure at the intersection of automation, robotics, and mining engineering, with a primary focus on transforming surface mining operations through artificial intelligence. His most cited work, a 2023 survey on automation and AI in open-pit mining, provides a comprehensive synopsis of the engineering challenges and technological innovations reshaping the Pilbara iron ore region in Western Australia. With 22 citations, this paper serves as a critical roadmap for researchers and practitioners, detailing robotic development and automation efforts that are revolutionizing the industry. Leung’s contributions extend beyond this survey; he is recognized for bridging the gap between theoretical AI and practical mining applications, addressing real-world problems such as autonomous haulage and sensor-based ore sorting. His work has positioned him as a key voice in the mining technology community, offering students and researchers a clear view of how robotics and intelligent systems can enhance safety, efficiency, and sustainability in resource extraction.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Automation and Artificial Intelligence Technology in Surface Mining: A Brief Introduction to Open-Pit Operations in the Pilbara [Survey]
22 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: The University of Sydney

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago