J
Jinquan Wei
Researcher at Tsinghua University
Publications - 263
Citations - 16326
Jinquan Wei is an academic researcher from Tsinghua University. The author has contributed to research in topics: Carbon nanotube & Graphene. The author has an hindex of 60, co-authored 256 publications receiving 14671 citations. Previous affiliations of Jinquan Wei include University of Hawaii at Manoa & Chinese Ministry of Education.
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Carbon Nanotube Sponges
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Graphene‐On‐Silicon Schottky Junction Solar Cells
Xinming Li,Hongwei Zhu,Kunlin Wang,Anyuan Cao,Jinquan Wei,Chunyan Li,Yi Jia,Zhen Li,Xiao Li,Dehai Wu +9 more
TL;DR: Graphene applications are just starting, and current investigations are on a number of areas such as composites, nanoelectronics, and transparent electrodes, where a continuous single-layer graphene fi lm could retain high conductivity at very low (atomic) thickness, and avoid contact resistance that occurs in a carbon nanotubes between interconnected nanotube bundles.
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Lead adsorption on carbon nanotubes
Yanhui Li,Shuguang Wang,Jinquan Wei,Xianfeng Zhang,Cailu Xu,Zhaokun Luan,Dehai Wu,Bingqing Wei +7 more
TL;DR: In this article, the authors show that carbon nanotubes (CTNs) show exceptional adsorption capability and high adorption efficiency for lead removal from water and suggest that CNTs can be good Pb2+ adsorbers and have great potential applications in environmental protection.
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Selective Ion Penetration of Graphene Oxide Membranes
TL;DR: The selective ion penetration and water purification properties of freestanding graphene oxide (GO) membranes are demonstrated and it is revealed that sodium salts can be separated effectively from copper salts and organic contaminants.
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Stretchable and highly sensitive graphene-on-polymer strain sensors
Xiao Li,Rujing Zhang,Wenjian Yu,Kunlin Wang,Jinquan Wei,Dehai Wu,Anyuan Cao,Zhihong Li,Yao Cheng,Quanshui Zheng,Rodney S. Ruoff,Hongwei Zhu +11 more
TL;DR: This work investigated graphene woven fabrics (GWFs) for strain sensing and investigated the main mechanism, resulting in a theoretical model that predicts very well the observed behavior.