Guangrong Ji

Papers

Total Citations

115

H-Index

About

Guangrong Ji is a leading researcher in computer vision and human-computer interaction, with a particular focus on deep learning-based gesture recognition. His most-cited work, "Research on the Hand Gesture Recognition Based on Deep Learning" (2018, 115 citations), addresses the growing demand for intuitive human-machine interfaces by leveraging deep neural networks to interpret complex hand gestures. This foundational research has enabled practical applications in robot control and intelligent furniture, bridging the gap between algorithmic innovation and real-world usability. Ji's contributions extend beyond gesture recognition, encompassing broader advancements in visual pattern analysis and interactive systems. His work has been instrumental in making machine perception more natural and accessible, with his highly cited paper serving as a key reference for researchers developing non-contact control systems. By combining rigorous deep learning methodologies with application-driven design, Ji has helped shape the trajectory of modern human-computer interaction, demonstrating how computational vision can transform everyday technology.