Pengfei Jia
Materials Chemistry · 2015–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 37 citations into it
- Atomic and Molecular Physics, and Optics — 8 citations into it
Whom Pengfei Jia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Pengfei Jia's perspective
Ordered by how strongly the researchers Pengfei Jia trusts endorse each paper. Same corpus, a different order for every researcher.
- Long term stability of metal oxide-based gas sensors for e-nose environmental applications: An overview
- Early detection and classification of pathogenic fungal disease in post-harvest strawberry fruit by electronic nose and gas chromatography–mass spectrometry
- On the study of feature extraction methods for an electronic nose
- From molecules to solids with the DMol3 approach
- Adsorption of gas molecules on graphene-like InN monolayer: A first-principle study
- Catalytic ammonia decomposition over Ru/carbon catalysts: The importance of the structure of carbon support
- Partial discharge recognition through an analysis of SF6 decomposition products part 1: decomposition characteristics of SF6 under four different partial discharges (IEEE transactions on dielectrics and electrical insulation)
- Stable geometries and magnetic properties of single-walled carbon nanotubes doped with 3d transition metals: A first-principles study
- Partial discharge recognition through an analysis of SF6 decomposition products part 2: feature extraction and decision tree-based pattern recognition (IEEE transactions on dielectrics and electrical insulation)
- QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
Their papers
- Adsorption and sensing behaviors of SF6 decomposed species on Ni-doped C3N monolayer: A first-principles study (2020) — 325 citations
- Adsorption of SO2 and NO2 molecule on intrinsic and Pd-doped HfSe2 monolayer: A first-principles study (2020) — 327 citations
- Electronic Nose Feature Extraction Methods: A Review (2015) — 302 citations