Zhongqian Song

Guangzhou University, Shandong Provincial Hospital

Papers

2

Total Citations

23

H-Index

2

About

Zhongqian Song is a rising researcher in the field of flexible electronics and advanced mechanosensing, with a focus on developing novel materials and fabrication techniques for high-performance pressure sensors and energy harvesters. Their work uniquely bridges the gap between dynamic and static mechanical sensing, most notably through the invention of a self-protective piezoelectric-piezoresistive dual-mode device. This breakthrough, published in 2022 and garnering 21 citations, leverages flextensional transduction to deliver superior mechanoresponse while simultaneously harvesting energy—a critical step toward self-powered wearable electronics. Song has also pioneered scalable manufacturing methods, as demonstrated in their 2024 work on the batch fabrication of ultrathin flexible pressure sensors using full printing techniques. This achievement addresses a key bottleneck in the commercialization of flexible electronics by enabling cost-effective, high-throughput production. With a growing citation record and a focus on practical, high-impact solutions, Song is establishing a reputation for translating fundamental materials science into deployable technologies. Their research holds promise for applications in soft robotics, human-machine interfaces, and biomedical monitoring, positioning them as a key contributor to the next generation of intelligent, energy-autonomous sensor systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A self-protective piezoelectric-piezoresistive dual-mode device with superior dynamic-static mechanoresponse and energy harvesting performance enabled by flextensional transduction
21 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Guangzhou University, Shandong Provincial Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago