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===章钦资料===『返回』
姓名: 章钦    
职务: 职称: 讲师
办公电话: 通讯地址: 南京林业大学机电学院3302室
电子邮箱: zhangqin@njfu.edu.cn 个人主页: https://www.researchgate.net/profile/Qin-Zhang-13
 教育背景与工作(挂职)经历:

时间

毕业院校

学历

2025.08-至今

南京林业大学

讲师

2021.09-2025.06

上海大学

博士

2018.09-2021.06

燕山大学

硕士

2013.09-2017.06

合肥工业大学

学士


 研究方向:

1. 能量收集

2. 智能传感与人机交互

 论文与专著:

[1]       Qin Zhang, Chuanfu Xin Fan, Shen et al. Human body IoT systems based on the triboelectrification effect: energy harvesting, sensing, interfacing and communication. Energy & Environmental Science, 2022, 15(9): 3688-3721. (中科院TOP, ESI高被引论文, IF: 30.8)

[2]       Qin ZhangFan Shen, Chen Cao, et al. Mechano-triboelectric transduction of sliding-mode nanogenerators with magnetic pre-stress. Advanced Functional Materials, 2023, 2301655. (中科院TOP, IF: 19)

[3]       Qin Zhang, Hengyu Guo, Fan Shen, et al. A predictive method for impedance estimation of triboelectric nanogenerators based on a gated recurrent unit model. Nano Energy, 2024, 124: 109458. (中科院TOP, IF: 17.1)

[4]       Qin ZhangZhongjie Li, Long Li, et al. Flexible magnet/Fe layers-based triboelectric sensors for continuous monitoring of elbow bending with a low minimum sensing angle. Nano Energy, 2025, 139: 110946. (中科院TOP, IF: 17.1)

[5]       Qin Zhang, Liang Xu, Hao Chen, et al. Research on a novel shape memory alloy artificial muscle with active and passive heat dissipation. Actuators, 2025, 14(5): 248. (中科院, IF: 2.3)

[6]       Fan Shen, Qin Zhang(共一), Hengyu Guo, et al. Investigation of power density amplification in stacked triboelectric nanogenerators. Energy & Environmental Materials, 2024, 7(5): e12697. (中科院TOP, IF: 14.1)

[7]       Baosu Guo*, Qin Zhang, et al. Tool health monitoring and prediction via attention-based encoder-decoder with a multi-step mechanism. International Journal of Advanced Manufacturing Technology, 2022, 122: 685-695. (中科院三区, IF: 3.1)

[8]       Qiwei Zheng, Liming Xin, Qin Zhang, et al. Leech-Inspired Amphibious Soft Robot Driven by High-Voltage Triboelectricity. Advanced Materials, 2025, 37(8): 2417380. (中科院一区TOP, IF: 26.8)

[9]       Zhongjie Li, Chao Yang, Qin Zhang, et al. Standardized Volume Power Density Boost in Frequency-up Converted Triboelectric Nanogenerators. Research, 2023, 6(220): 0237. (中科院一区TOP, IF: 10.7)

[10]    郭保苏*, 章钦基于度量学习的车削加工刀具磨损状态监测方法. ZL202010014758.6, 2022-03-08. (发明专利授权)

[11]    张泉*, 章钦一种基于摩擦起电原理的刀具磨损状态监测方法及系统ZL202210263842.0, 2023-03-31. (发明专利授权)


 荣誉奖励:

博士研究生国家奖学金,2022

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