Papers
2
Total Citations
11
H-Index
2
About
Ting Chen is a researcher at the intersection of agricultural engineering and neurorehabilitation, making notable contributions in both domains. In agricultural technology, Chen developed an improved UNet3+ algorithm for green walnut image segmentation, addressing critical challenges in automated harvesting by reducing missed detections and misdetections in natural environments. This work, published in 2024, has already garnered 8 citations, demonstrating its immediate relevance to precision agriculture. In the field of neurological rehabilitation, Chen led a pioneering pilot randomized controlled trial investigating the combined effects of robotic-assisted gait training with low-frequency transcranial magnetic stimulation on stroke patients. This 2025 study, with 3 citations, explores how integrating these therapies may enhance neuroplasticity and improve gait metrics and balance—a promising avenue for stroke recovery. Chen’s dual expertise spans computer vision for agricultural applications and innovative neurorehabilitation protocols, showcasing a versatile research portfolio that bridges engineering and clinical medicine.
Research Focus
Key Achievements
Top Papers
- 1Improving Walnut Images Segmentation Using Modified UNet3+ Algorithm8 citations · 2024
- 2