Xianran Wang

Huazhong University of Science and Technology

Papers

Total Citations

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About

Xianran Wang is a researcher specializing in magnetic sensing technologies, with a particular focus on improving the accuracy and reliability of magnetometer arrays for target detection and magnetic anomaly sensing. Wang’s most cited work introduces a novel calibration method that corrects mismatch errors in magnetometer arrays using two excitation coils combined with a particle swarm optimization algorithm. This contribution is critical for applications such as tracking ferromagnetic objects and suppressing environmental magnetic noise, directly enhancing measurement precision in real-world settings. With a top-cited paper garnering 10 citations, Wang’s research addresses a fundamental challenge in magnetic gradiometry, offering a practical, algorithm-driven solution that balances computational efficiency with calibration accuracy. This work stands out for its innovative integration of optimization techniques with hardware design, making it a valuable reference for engineers and researchers advancing magnetic field instrumentation. Wang’s contributions are steadily gaining recognition in the field of applied magnetics and sensor calibration.