State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review. - Baohua Zhang 001; Yuanxin Xie; Jun Zhou 015; Kai Wang; Zhen Zhang (Comput. Electron. Agric., 2020)

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests. - Yuanxin Xie; Baohua Zhang 001; Jun Zhou 015; Yuhao Bai; Meng Zhang (Sensors, 2020)

Dexterous robotic grasping of delicate fruits aided with a multi-sensory e-glove and manual grasping analysis for damage-free manipulation. - Wei Zheng; Yuanxin Xie; Baohua Zhang 001; Jun Zhou 015; Jintao Zhang (Comput. Electron. Agric., 2021)

TASL-Net: Tri-attention selective learning network for intelligent diagnosis of bimodal ultrasound video. - Chengqian Zhao; Zhao Yao; Zhaoyu Hu; Yuanxin Xie; Yafang Zhang; Yuanyuan Wang; Shuo Li 001; Jianhua Zhou; Jianqiao Zhou; Yin Wang; Jinhua Yu (Expert Syst. Appl., 2025)