What is he best known for?
The fields of study he is best known for:
- Statistics
- Organic chemistry
- Ecology
The scientist’s investigation covers issues in Groundwater, Aquifer, Environmental chemistry, Hydrology and Subsidence.
His research investigates the link between Groundwater and topics such as Groundwater-related subsidence that cross with problems in Borehole and Physical geography.
While the research belongs to areas of Aquifer, Jichun Wu spends his time largely on the problem of Geomorphology, intersecting his research to questions surrounding Deformation and Compression.
His Environmental chemistry research incorporates elements of Ingestion, Contamination, Particulates and Extraction.
His studies in Hydrology integrate themes in fields like River ecosystem, Habitat and Ecosystem management.
In most of his Subsidence studies, his work intersects topics such as Geotechnical engineering.
His most cited work include:
- Bioaccessibility and health risk of arsenic and heavy metals (Cd, Co, Cr, Cu, Ni, Pb, Zn and Mn) in TSP and PM2.5 in Nanjing, China (314 citations)
- TiO2 and ZnO nanoparticles negatively affect wheat growth and soil enzyme activities in agricultural soil (313 citations)
- Effects of chronic exposure of 2,4-dichlorophenol on the antioxidant system in liver of freshwater fish Carassius auratus. (288 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Groundwater, Aquifer, Hydrology, Porous medium and Soil science.
His research on Groundwater often connects related areas such as Subsidence.
The various areas that Jichun Wu examines in his Aquifer study include Hydraulic conductivity, Karst and Compaction.
Many of his studies on Hydrology apply to Bay as well.
His study looks at the intersection of Porous medium and topics like Chemical engineering with Sorption.
Jichun Wu focuses mostly in the field of Groundwater flow, narrowing it down to topics relating to Hydraulic head and, in certain cases, Covariance and Numerical analysis.
He most often published in these fields:
- Groundwater (24.05%)
- Aquifer (19.06%)
- Hydrology (19.65%)
What were the highlights of his more recent work (between 2018-2021)?
- Groundwater (24.05%)
- Soil science (9.97%)
- Porous medium (16.72%)
In recent papers he was focusing on the following fields of study:
Jichun Wu mainly investigates Groundwater, Soil science, Porous medium, Aquifer and Hydrology.
His research in Groundwater intersects with topics in Infiltration, Soil water, Pore water pressure and Surface water.
Jichun Wu combines subjects such as Saturation and Karst spring with his study of Soil science.
His study on Porous medium also encompasses disciplines like
- Chemical engineering and related Surface roughness,
- Ionic strength which is related to area like Perfluorooctanoic acid.
The concepts of his Aquifer study are interwoven with issues in Hydraulic conductivity and Random walk.
His Drainage basin, Snowmelt and Surface runoff study, which is part of a larger body of work in Hydrology, is frequently linked to Yangtze river, bridging the gap between disciplines.
Between 2018 and 2021, his most popular works were:
- Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media (73 citations)
- Deep Autoregressive Neural Networks for High-Dimensional Inverse Problems in Groundwater Contaminant Source Identification (54 citations)
- Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities (27 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Organic chemistry
- Ecology
His scientific interests lie mostly in Yangtze river, Ionic strength, Environmental chemistry, Artificial neural network and Groundwater.
The study incorporates disciplines such as Valence, Surface tension, Porous medium, Perfluorooctanoic acid and Chemical engineering in addition to Ionic strength.
His Environmental chemistry research incorporates themes from Soil water, Pesticide, Hexachlorocyclohexane and Reductive dechlorination.
His Artificial neural network research includes themes of Algorithm, Meteorology and Inverse problem.
His specific area of interest is Groundwater, where Jichun Wu studies Conjunctive use.
His work in Hydrology addresses subjects such as Agriculture, which are connected to disciplines such as Groundwater flow.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
