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State Key Laboratory of Transducer Technology | Researchclopedia

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State Key Laboratory of Transducer Technology

Shanghaigovernment

5,094

Works

347,770

Citations

175

h-index

Top Research Topics

Advanced MEMS and NEMS Technologies Analytical Chemistry and Sensors Mechanical and Optical Resonators

Top Researchers

Xiaohong Chen Chongqing University

19,059 works495,225 citationsh-index: 258

Recent Research

A Universal Strategy for Integrating Nanomaterials in Scalable Gas Sensor Fabrication without Compromising Intrinsic Properties

Zhenyuan Tang,Miao Peng,et al.

20260 citations

Gas Sensing Nanomaterials and Sensors

Acoustic Wave Resonator Technologies

Advanced biosensing and bioanalysis techniques

Advanced Chemical Sensor Technologies

Electrochemical sensors and biosensors

Neuroscience and Neural Engineering

Microfluidic and Capillary Electrophoresis Applications

Advanced Sensor and Energy Harvesting Materials

Electrochemical Analysis and Applications

Jian Wu Ningbo University

11,169 works226,743 citationsh-index: 177

Huan Liu Wannan Medical College

3,421 works141,915 citationsh-index: 174

Hao Chen Nanjing University of Science and Technology

5,578 works111,526 citationsh-index: 139

Xuemin Shen University of Waterloo

2,522 works99,506 citationsh-index: 149

Chunhai Fan Shanghai Jiao Tong University

1,225 works92,030 citationsh-index: 148

Micro-Nanoengineered Carbon Nanotube Electrodes with Ionic Liquid Interfaces for Efficient Pathogen Inactivation and Detection

Qiushi Feng,Han Li,et al.

20260 citations

A Multichannel Flexible Interface for Environmental-Robust Laryngeal Signal Decoding

Yusen Guo,Pengyu Huo,et al.

20260 citations

A Programmable and Portable Electromagnetic Microfluidic Platform for Droplet Manipulation

Chaoze Xue,Shilun Feng,et al.

20260 citations

A double-spiral microelectrode chip for reagent-free detection of mercury(II) in seawater based on in-situ pH modulation

Nan Qiu,Zeqian Wei,et al.

20260 citations

High-accuracy real-time mixed-gas concentration prediction using a dual-timescale temporal convolutional network

Xujin Xiang,Jie Wang,et al.

20260 citations