Papers

6

Total Citations

101

H-Index

5

About

Zaixin Song is an emerging researcher specializing in advanced electric machine design, high-performance actuators, and next-generation motor technologies for robotics, electric vehicles, and sustainable transportation. His most celebrated contribution is the development of a novel axial-radial flux permanent magnet (ARFPM) machine featuring Halbach-array permanent magnets, which has garnered 54 citations since 2021 and represents a significant step forward in achieving high torque density without the complexity of planetary gear systems — reducing both manufacturing costs and mechanical bulk. Song has further pushed the boundaries of compact actuator design through his work on double-side axial-flux actuators tailored for robot dogs, alongside hybrid optimization techniques for asynchronous rotor configurations. His influential overviews of high overload motors, collectively accumulating over 20 citations, have helped synthesize the field's understanding of motors operating well beyond standard rated conditions — critical for electric propulsion, heavy robotics, and industrial machining. More recently, his work on variable transmission series elastic actuators for hip exoskeletons reflects a broadening vision toward human-robot interaction and wearable assistive technology. Song's growing body of work positions him as a versatile and innovative voice in the electromechanical engineering community.

Research Focus

Key Achievements

5
H-Index
6
Papers
101
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Design and Analysis of a Novel Axial-Radial Flux Permanent Magnet Machine with Halbach-Array Permanent Magnets
54 citations · 2021
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: City University of Hong Kong, Hong Kong Polytechnic University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago