Yumeng Chen

Yankuang Energy Group Company Limited (China)

Papers

Total Citations

H-Index

About

Yumeng Chen is a researcher advancing intelligent systems for sustainable resource processing, with a primary focus on deep learning applications in mineral engineering and green industrial technologies. Their most-cited work, "Design and application of coal gangue sorting system based on deep learning" (2024, 11 citations), introduces a transformative approach to coal-washing plant operations by integrating deep learning algorithms for automated, high-precision sorting of coal gangue—a critical step toward reducing environmental waste and improving energy efficiency. This research directly supports the modernization of coal processing infrastructure, aligning with global goals for low-carbon and intelligent industrial systems. By bridging artificial intelligence with traditional mining practices, Chen’s contributions offer a scalable pathway for cleaner production, demonstrating how smart sorting systems can accelerate the transition to a green economy. Their work is particularly notable for its practical deployment potential, addressing both economic and ecological challenges in resource-heavy industries. As a rising voice in applied deep learning and sustainable engineering, Yumeng Chen is helping redefine the future of intelligent mineral processing.