Shenglong Tang

Papers

Total Citations

1,028

H-Index

About

Shenglong Tang is a pioneering researcher at the intersection of industrial automation, cloud computing, and intelligent robotics. His work has fundamentally shaped the Software-Defined Industrial Internet of Things (SD-IIoT) and Cloud Robotics, two fields critical to the Industry 4.0 revolution. Tang’s most influential contribution, the 2016 paper "Software-Defined Industrial Internet of Things in the Context of Industry 4.0," has garnered over 677 citations, establishing a foundational framework for integrating flexible, programmable networks into manufacturing. He further advanced the field by exploring how cloud technology can offload complex computations from physical robots, as seen in his highly cited work on "Cloud Robotics: Current Status and Open Issues" (180 citations). A key achievement is his development of context-aware cloud robotics for material handling within cognitive IIoT environments (168 citations), demonstrating how real-time data and AI can optimize logistics in smart factories. By merging cloud elasticity with industrial automation, Tang has provided the architectural blueprints for more efficient, scalable, and intelligent production systems. His research continues to guide engineers and academics in building the next generation of autonomous, cloud-connected industrial ecosystems.