Zhiyuan Sun

China University of Mining and Technology

Papers

Total Citations

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About

Dr. Zhiyuan Sun is a leading researcher in intelligent mining and industrial automation, with a primary focus on computer vision applications for resource separation and environmental sustainability. His most impactful work, "Coal and Gangue Separating Robot System Based on Computer Vision" (2021, 45 citations), addresses a critical challenge in coal production: the efficient separation of coal from gangue—a waste material that degrades coal quality and causes environmental pollution. By integrating robotic systems with advanced visual recognition, Dr. Sun’s research enables real-time, automated sorting that improves coal quality, conserves energy, and reduces resource waste. This innovation not only enhances operational efficiency but also promotes the reuse of separated gangue, aligning with circular economy principles. With a growing citation record, Dr. Sun’s contributions are pivotal for sustainable mining practices, offering a scalable solution to balance industrial productivity with environmental responsibility. His work is essential reading for researchers in robotics, mineral processing, and green technology.