What is he best known for?
The fields of study he is best known for:
Ecology, Eutrophication, Macrophyte, Biomanipulation and Plankton are his primary areas of study.
While working in this field, he studies both Ecology and Trait.
The study incorporates disciplines such as Environmental chemistry, Phytoplankton, Oceanography and Ecosystem in addition to Eutrophication.
His work focuses on many connections between Ecosystem and other disciplines, such as Trophic level, that overlap with his field of interest in Bosmina.
His biological study spans a wide range of topics, including Biodiversity and Nutrient.
His research in Biomanipulation intersects with topics in Fishery, Zooplankton and Temperate climate.
His most cited work include:
- Allied attack: climate change and eutrophication (343 citations)
- Impacts of climate warming on lake fish community structure and potential effects on ecosystem function (275 citations)
- Impacts of climate warming on lake fish community structure and potential effects on ecosystem function (275 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Ecology, Eutrophication, Macrophyte, Phytoplankton and Mesocosm.
His work in Zooplankton, Trophic level, Biomass, Plankton and Biomanipulation are all subfields of Ecology research.
His Eutrophication research is multidisciplinary, incorporating perspectives in Water column, Benthic zone, Fishery, Ecosystem and Environmental chemistry.
His Ecosystem research incorporates themes from Global warming and Aquatic ecosystem.
Zhengwen Liu works mostly in the field of Macrophyte, limiting it down to topics relating to Nutrient and, in certain cases, Agronomy, as a part of the same area of interest.
Zhengwen Liu focuses mostly in the field of Phytoplankton, narrowing it down to matters related to Hydrology and, in some cases, Diatom.
He most often published in these fields:
- Ecology (102.55%)
- Eutrophication (102.04%)
- Macrophyte (75.51%)
What were the highlights of his more recent work (between 2019-2021)?
- Ecology (102.55%)
- Macrophyte (75.51%)
- Eutrophication (102.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Ecology, Macrophyte, Eutrophication, Mesocosm and Phytoplankton.
His study in Zooplankton, Pelagic zone, Dominance, Biomass and Species richness are all subfields of Ecology.
The various areas that Zhengwen Liu examines in his Macrophyte study include Aquatic ecosystem and Ecosystem.
Zhengwen Liu combines subjects such as Environmental chemistry, Physical geography, Water column and Terrestrial plant with his study of Eutrophication.
His Mesocosm research integrates issues from Water quality and Periphyton.
His Phytoplankton study typically links adjacent topics like Plankton.
Between 2019 and 2021, his most popular works were:
- Predicting ecosystem state changes in shallow lakes using an aquatic ecosystem model: Lake Hinge, Denmark, an example (8 citations)
- Predicting ecosystem state changes in shallow lakes using an aquatic ecosystem model: Lake Hinge, Denmark, an example (8 citations)
- Mesocosm experiment reveals a strong positive effect of snail presence on macrophyte growth, resulting from control of epiphyton and nuisance filamentous algae: Implications for shallow lake management. (6 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Biodiversity
Zhengwen Liu mostly deals with Eutrophication, Mesocosm, Ecology, Phytoplankton and Aquatic ecosystem.
His study in Eutrophication is interdisciplinary in nature, drawing from both Water column and Zooplankton.
His studies in Zooplankton integrate themes in fields like Dominance, Benthic zone and Pelagic zone.
His work carried out in the field of Aquatic ecosystem brings together such families of science as Macrophyte, PCLake, Atmospheric sciences, Biogeochemical cycle and Ecosystem.
In his research, Zhengwen Liu undertakes multidisciplinary study on Light intensity and Plankton.
His Vallisneria studies intersect with other disciplines such as Algae and Biomass.
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.
