Papers
1
Total Citations
10
H-Index
1
About
Yanyue Liu is a leading researcher in magnetic sensing and instrumentation, with a focus on improving the accuracy and reliability of magnetometer arrays for ferromagnetic target detection and magnetic anomaly sensing. Their most-cited work, "Calibration method for mismatch error of a magnetometer array based on two excitation coils and the particle swarm optimization algorithm" (2020), addresses a critical challenge in magnetic gradiometry: suppressing environmental background noise while enhancing measurement precision. By integrating dual excitation coils with a particle swarm optimization algorithm, Liu developed a novel calibration technique that significantly reduces mismatch errors in multi-sensor arrays—a breakthrough with direct applications in defense, geophysical surveying, and industrial monitoring. With 10 citations on this paper alone, Liu’s contributions are gaining traction among engineers and geophysicists seeking robust, field-deployable solutions. Their work exemplifies a practical, algorithm-driven approach to sensor fusion, bridging the gap between theoretical metrology and real-world magnetic field mapping. For students and researchers in instrumentation and applied electromagnetics, Liu’s research offers a compelling model of how computational optimization can elevate the performance of classical sensor systems.
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