2023 - Research.com Electronics and Electrical Engineering in China Leader Award
Graphene, Optoelectronics, Nanotechnology, Sensitivity and Pressure sensor are his primary areas of study. Tian-Ling Ren has included themes like Oxide, Silicon, Gauge factor, Frequency response and Laser in his Graphene study. His Optoelectronics research incorporates elements of Transistor, Resistive touchscreen and Indium tin oxide.
The various areas that he examines in his Nanotechnology study include Resistive random-access memory, Voltage, Energy harvesting, Strain and Electronics. His Sensitivity study combines topics in areas such as Piezoresistive effect and Nanocomposite. Tian-Ling Ren interconnects Electronic engineering, Linearity and Sensitivity in the investigation of issues within Pressure sensor.
Tian-Ling Ren spends much of his time researching Optoelectronics, Graphene, Ferroelectricity, Nanotechnology and Thin film. His biological study spans a wide range of topics, including Layer, Transistor and Electronic engineering. The concepts of his Graphene study are interwoven with issues in Oxide, Gauge factor and Laser.
He combines subjects such as Composite material and Capacitor with his study of Ferroelectricity. His research links Voltage with Nanotechnology. His Thin film research incorporates themes from Annealing, Sol-gel, Coercivity, Analytical chemistry and Microstructure.
Tian-Ling Ren focuses on Optoelectronics, Graphene, Transistor, Nanotechnology and Neuromorphic engineering. His research brings together the fields of Perovskite and Optoelectronics. His biological study spans a wide range of topics, including Oxide, Substrate, Sensitivity and Pressure sensor.
His work carried out in the field of Sensitivity brings together such families of science as Surface acoustic wave and Laser. His Pressure sensor research is multidisciplinary, relying on both Sensitivity, Piezoresistive effect and Pressure measurement. His work deals with themes such as Capacitance and Thin-film transistor, which intersect with Transistor.
Tian-Ling Ren mostly deals with Optoelectronics, Graphene, Transistor, Nanotechnology and Electronic engineering. His Optoelectronics study combines topics in areas such as Perovskite and Subthreshold swing. With his scientific publications, his incorporates both Graphene and Flexibility.
His research investigates the link between Transistor and topics such as Thin-film transistor that cross with problems in Capacitance, Hysteresis and Stacking. His Nanotechnology research integrates issues from Conformable matrix, Mesoporous material and Electronics. His Piezoresistive effect research includes elements of Negative resistance, Triode, Sensitivity and Pressure sensor.
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Carbonized Silk Fabric for Ultrastretchable, Highly Sensitive, and Wearable Strain Sensors
Chunya Wang;Xiang Li;Enlai Gao;Muqiang Jian.
Advanced Materials (2016)
Carbon nanotube based biosensors
Ning Yang;Xianping Chen;Xianping Chen;Tianling Ren;Ping Zhang.
Sensors and Actuators B-chemical (2015)
A Graphene-Based Resistive Pressure Sensor with Record-High Sensitivity in a Wide Pressure Range
He Tian;Yi Shu;Xue-Feng Wang;Mohammad Ali Mohammad.
Scientific Reports (2015)
Graphene-Paper Pressure Sensor for Detecting Human Motions.
Lu-Qi Tao;Kun-Ning Zhang;He Tian;Ying Liu.
ACS Nano (2017)
Epidermis Microstructure Inspired Graphene Pressure Sensor with Random Distributed Spinosum for High Sensitivity and Large Linearity.
Yu Pang;Kunning Zhang;Zhen Yang;Song Jiang.
ACS Nano (2018)
Graphene Textile Strain Sensor with Negative Resistance Variation for Human Motion Detection
Zhen Yang;Yu Pang;Xiao-lin Han;Yifan Yang.
ACS Nano (2018)
Scalable fabrication of high-performance and flexible graphene strain sensors
He Tian;Yi Shu;Ya-Long Cui;Wen-Tian Mi.
Flexible, Highly Sensitive, and Wearable Pressure and Strain Sensors with Graphene Porous Network Structure
Yu Pang;He Tian;Luqi Tao;Yuxing Li.
ACS Applied Materials & Interfaces (2016)
An intelligent artificial throat with sound-sensing ability based on laser induced graphene
Lu-Qi Tao;He Tian;He Tian;Ying Liu;Zhen-Yi Ju.
Nature Communications (2017)
Extremely Low Operating Current Resistive Memory Based on Exfoliated 2D Perovskite Single Crystals for Neuromorphic Computing
He Tian;Lianfeng Zhao;Xuefeng Wang;Yao Wen Yeh.
ACS Nano (2017)
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