Papers
11
Total Citations
1,066
H-Index
7
About
Jianjun Meng is a prominent researcher specializing in brain-computer interfaces (BCIs), neurorobotics, and neuroprosthetics, with a particular focus on enabling intuitive, noninvasive neural control of robotic and assistive devices. His work has fundamentally advanced the field of EEG-based robotic control, most notably through his landmark 2016 study demonstrating noninvasive BCI-driven reach-and-grasp tasks with a robotic arm — a paper that has since accumulated over 475 citations and remains a touchstone in the field. Building on this, his 2019 work on continuous neural tracking for robotic device control (378 citations) established critical groundwork for practical, high-dimensional neuroprosthetic systems that sidestep the risks of surgical implantation. Meng has also made sustained contributions to SSVEP- and motor imagery-based BCI paradigms, hybrid BCI architectures, and myoelectric prosthetic control, including a comprehensive decade-in-review of upper-limb prosthesis research published in 2023. His investigations into spatial-temporal EEG dynamics and the effects of gaze fixation on BCI performance reflect a rigorous, clinically motivated research philosophy. Collectively, his body of work — spanning over 1,000 cumulative citations — meaningfully bridges laboratory neuroscience and real-world assistive technology for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
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- 6Spatial-temporal aspects of continuous EEG-based neurorobotic control16 citations · 2020
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