Haoqiang Jia

Beijing Jiaotong University

Papers

2

Total Citations

33

H-Index

2

About

Haoqiang Jia is a rising researcher in the field of advanced fiber-optic sensing, with a focus on developing high-sensitivity, intelligent sensors for structural health monitoring and precision measurement. His work centers on photonic crystal fibers (PCFs), Sagnac interferometers, and the integration of machine learning to enhance sensor performance. Jia’s major contributions include the design and experimental demonstration of an omnidirectional bending sensor using cascaded asymmetric dual-core PCFs, which achieves exceptional sensitivity by exploiting lateral rotation angles in the transmission spectrum. He also pioneered a vector torsion sensor based on a single stress-applying fiber Sagnac interferometer, offering high sensitivity and directional discrimination. With his most-cited papers garnering 17 and 16 citations respectively within a short time, Jia’s impact is evident in the growing adoption of his sensor designs for real-time, multi-parameter detection. Notably, his machine-learning-assisted approach represents a novel fusion of data-driven optimization with photonic sensing, paving the way for smart, adaptive measurement systems. Jia’s work is particularly valuable for students and researchers exploring next-generation optical sensors that combine physical ingenuity with computational intelligence.

Research Focus

Key Achievements

2
H-Index
2
Papers
33
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Machine-learning-assisted omnidirectional bending sensor based on a cascaded asymmetric dual-core PCF sensor
17 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Beijing Jiaotong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago