What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Enzyme
- Artificial intelligence
His main research concerns Environmental chemistry, Surface water, Internal medicine, Endocrinology and Pollution.
His Environmental chemistry research is multidisciplinary, incorporating elements of Persistent organic pollutant, Pollutant, Soil water, Effluent and Sewage treatment.
His studies deal with areas such as Ecological risk, Dichlorvos, Water pollution, Water quality and Aquatic environment as well as Surface water.
His work in Internal medicine tackles topics such as Gobiocypris rarus which are related to areas like Vitellogenin.
His Endocrinology research incorporates elements of Estrogen-related receptor, Nuclear receptor and Receptor.
He focuses mostly in the field of Pollution, narrowing it down to matters related to Contamination and, in some cases, Pesticide, Drainage, AH Receptor, Waste recycling and Rat hepatoma.
His most cited work include:
- Composition, sources, and potential toxicological significance of PAHs in the surface sediments of the Meiliang Bay, Taihu Lake, China. (327 citations)
- Oxidation of antimony (III) by amorphous iron and manganese oxyhydroxides (197 citations)
- Residues and source identification of persistent organic pollutants in farmland soils irrigated by effluents from biological treatment plants. (177 citations)
What are the main themes of his work throughout his whole career to date?
Environmental chemistry, Internal medicine, Endocrinology, Gobiocypris rarus and Toxicity are his primary areas of study.
Zijian Wang works mostly in the field of Environmental chemistry, limiting it down to topics relating to Bioassay and, in certain cases, Wastewater and Sewage treatment.
In his study, which falls under the umbrella issue of Internal medicine, Oryzias and Japanese Medaka is strongly linked to Vitellogenin.
His research integrates issues of Molecular biology, Deiodinase, Gene expression and Endocrine system in his study of Gobiocypris rarus.
Zijian Wang works mostly in the field of Water pollution, limiting it down to topics relating to Surface water and, in certain cases, Pollution, as a part of the same area of interest.
Many of his research projects under Pollutant are closely connected to Triolein with Triolein, tying the diverse disciplines of science together.
He most often published in these fields:
- Environmental chemistry (37.50%)
- Internal medicine (13.13%)
- Endocrinology (13.13%)
What were the highlights of his more recent work (between 2016-2021)?
- Environmental chemistry (37.50%)
- Robot (5.00%)
- Gobiocypris rarus (12.19%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Environmental chemistry, Robot, Gobiocypris rarus, Biochemistry and Control theory.
His Environmental chemistry research includes elements of Passive sampling, Pollutant, Contamination, Water treatment and Pollution.
His Robot study combines topics in areas such as Torque, Drone and Benchmark.
His work carried out in the field of Gobiocypris rarus brings together such families of science as Endocrinology, Gene expression, Hypothalamic–pituitary–gonadal axis, Apoptosis and Internal medicine.
Zijian Wang does research in Internal medicine, focusing on Hormone specifically.
Zijian Wang combines subjects such as Consensus and Robot kinematics with his study of Control theory.
Between 2016 and 2021, his most popular works were:
- Fast, On-line Collision Avoidance for Dynamic Vehicles Using Buffered Voronoi Cells (60 citations)
- Intercepting Rogue Robots: An Algorithm for Capturing Multiple Evaders With Multiple Pursuers (47 citations)
- Accumulation and distribution of organophosphate flame retardants (PFRs) and their di-alkyl phosphates (DAPs) metabolites in different freshwater fish from locations around Beijing, China. (44 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Enzyme
- Ecology
Zijian Wang mostly deals with Robot, Environmental chemistry, Collision avoidance, Artificial intelligence and Phosphate.
His Robot research incorporates themes from Object, Term and Drone.
His study in Environmental chemistry focuses on Bioconcentration in particular.
His Inference study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Scale, Statistical inference, Global environmental analysis and Social media, bridging the gap between disciplines.
His work on Diphenyl phosphate as part of his general Phosphate study is frequently connected to Triphenyl phosphate, TCEP and Bisphenol A, thereby bridging the divide between different branches of science.
His Trajectory study combines topics from a wide range of disciplines, such as Control engineering, Robot kinematics and Teleoperation.
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