Sheng Zhang

Nanjing University, Shanghai Maritime University, Nanjing University of Science and Technology

Papers

Total Citations

269

H-Index

About

Sheng Zhang is a versatile researcher whose work spans wireless sensor networks, autonomous robotics, agricultural automation, and edge computing. His most recognized contribution, "Collaborative Mobile Charging" (2014, 139 citations), tackled one of the fundamental limitations of wireless sensor network deployment by leveraging advances in wireless energy transfer and rechargeable lithium batteries to develop mobile vehicle-based charging strategies — a breakthrough that has significantly influenced how researchers approach energy sustainability in large-scale sensor networks. Building on his interest in autonomous systems, Zhang also made notable strides in underwater robotics with his 2015 work on AUV path planning, which uniquely accounted for ocean current dynamics alongside obstacle avoidance using artificial potential field and velocity synthesis methods, earning 59 citations. His 2021 paper on collision-free motion planning for litchi-picking robots (70 citations) demonstrates a compelling pivot toward precision agriculture, addressing real-world harvesting challenges with intelligent robotic systems. His most recent work on adaptive scheduling of edge inference pipelines signals an emerging focus on AI efficiency at the network edge. Together, Zhang's publications reflect a researcher consistently drawn to solving practical, resource-constrained problems across dynamic and challenging environments.