Jianjun Wei

Guangxi University of Science and Technology

Papers

Total Citations

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About

Jianjun Wei is a researcher whose work spans robotics, computer graphics, and medical simulation technologies. His research demonstrates a thoughtful intersection of computational algorithms and practical engineering applications, reflecting a commitment to solving real-world problems through innovative technical approaches. Wei's most recognized contribution lies in the domain of collision detection, where his 2019 work on Oriented Bounding Box (OBB) simplified modeling garnered 10 citations. In this study, he critically analyzed traditional OBB-based collision detection algorithms and proposed meaningful improvements to enhance computational efficiency in practical applications — a challenge central to real-time simulation, game development, and robotics. Complementing this computational focus, Wei also contributed to medical education technology through his 2015 development of an arm robot designed to simulate lead-pipe rigidity for neurological examinations. This work addressed a genuine gap in clinical training, offering novice medical staff an innovative platform to develop physical examination skills beyond conventional video-based learning methods. Though Wei's citation profile is still developing, his diverse contributions across human-computer interaction, simulation, and algorithm optimization signal a researcher with broad interdisciplinary curiosity and a clear dedication to bridging theoretical computer science with applied, human-centered solutions.