Liujie Jing

Papers

Total Citations

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About

Liujie Jing is a leading researcher in intelligent tunneling and underground construction, pioneering the transformation of traditional tunnel boring machines (TBMs) into autonomous tunnel boring robots (TBRs). Their work addresses critical challenges in deep-buried and long-tunnel projects, including poor information perception, delayed data transmission, and the limitations of manual operation. Jing’s 2024 paper, “From tunnel boring machine to tunnel boring robot,” with 11 citations, outlines a visionary framework for smart shield machine operation, while their 2023 study on intelligent tunneling robot systems (8 citations) proposes integrated solutions for real-time sensing and data processing in complex geological environments. These contributions are reshaping the future of underground infrastructure by enhancing construction safety, efficiency, and automation. Jing’s research is highly relevant for civil engineers, roboticists, and infrastructure planners seeking to modernize tunneling practices. With a growing citation record and a focus on practical, high-impact innovation, Liujie Jing is establishing themselves as a key voice in the next generation of intelligent construction technology.