Junkun Chen
Shangri-la Institute(CN)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Speech Recognition and Synthesis, Gas Sensing Nanomaterials and Sensors, 3D Shape Modeling and Analysis
Most-Cited Works
- → VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research(2019)437 cited
- → Thin-layered MoS2 nanoflakes vertically grown on SnO2 nanotubes as highly effective room-temperature NO2 gas sensor(2021)200 cited
- → Co3O4@PEI/Ti3C2Tx MXene nanocomposites for a highly sensitive NOx gas sensor with a low detection limit(2021)151 cited
- → Efficient ultra-trace electrochemical detection of Cd2+, Pb2+ and Hg2+ based on hierarchical porous S-doped C3N4 tube bundles/graphene nanosheets composite(2021)100 cited
- → Rational fabrication of a g-C3N4/NiO hierarchical nanocomposite with a large surface area for the effective detection of NO2 gas at room temperature(2021)77 cited
- → Meta Multi-Task Learning for Sequence Modeling(2018)70 cited
- → N-doped three-dimensional needle-like CoS2 bridge connection Co3O4 core–shell structure as high-efficiency room temperature NO2 gas sensor(2021)64 cited
- → 3D flower-like NiCo-LDH composites for a high-performance NO2 gas sensor at room temperature(2020)58 cited
- → Metal-organic framework material derived Co3O4 coupled with graphitic carbon nitride as highly sensitive NO2 gas sensor at room temperature(2020)55 cited
- → High-dispersed Fe2O3/Fe nanoparticles residing in 3D honeycomb-like N-doped graphitic carbon as high-performance room-temperature NO2 sensor(2020)54 cited