What is he best known for?
The fields of study he is best known for:
- Ecology
- Groundwater
- Hydrology
His main research concerns Groundwater, Arsenic, Hydrology, Aquifer and Environmental chemistry.
In his study, Potassium is strongly linked to Detection limit, which falls under the umbrella field of Groundwater.
A large part of his Arsenic studies is devoted to Arsenic poisoning.
The concepts of his Hydrology study are interwoven with issues in Arid and Water resource management.
His Aquifer study also includes fields such as
- Holocene and related Dissolution, Dry weight and Mineralogy,
- Floodplain that intertwine with fields like Geochemistry.
His research integrates issues of Water demand and Contamination in his study of Environmental chemistry.
His most cited work include:
- Water Manganese Exposure and Children's Intellectual Function in Araihazar, Bangladesh (841 citations)
- Water Manganese Exposure and Children's Intellectual Function in Araihazar, Bangladesh (841 citations)
- Decoupling of As and Fe release to Bangladesh groundwater under reducing conditions. Part I: Evidence from sediment profiles (395 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Arsenic, Groundwater, Aquifer, Hydrology and Environmental chemistry.
His work on Arsenic contamination of groundwater as part of his general Arsenic study is frequently connected to Environmental health and Ascorbic acid, thereby bridging the divide between different branches of science.
The Groundwater study combines topics in areas such as Detection limit, Soil water, Sediment and Surface water.
His Sediment study which covers Total organic carbon that intersects with Oceanography and Bottom water.
Yan Zheng combines subjects such as Mineralogy, Holocene and Anoxic waters with his study of Aquifer.
In general Hydrology study, his work on Floodplain and Groundwater flow often relates to the realm of Context, thereby connecting several areas of interest.
He most often published in these fields:
- Arsenic (58.56%)
- Groundwater (56.76%)
- Aquifer (35.14%)
What were the highlights of his more recent work (between 2017-2021)?
- Reinforcement learning (9.91%)
- Artificial intelligence (7.66%)
- Arsenic (58.56%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Reinforcement learning, Artificial intelligence, Arsenic, Groundwater and Aquifer.
His Reinforcement learning study integrates concerns from other disciplines, such as Human–computer interaction and Process.
His study in the field of ARSENIC EXPOSURE also crosses realms of Environmental health and Extramural.
Yan Zheng is studying Groundwater recharge, which is a component of Groundwater.
Aquifer is a primary field of his research addressed under Hydrology.
His studies deal with areas such as Water column, Seasonality, Sedimentation, Hot spring and Sediment–water interface as well as Hydrology.
Between 2017 and 2021, his most popular works were:
- Dissolved fulvic acids from a high arsenic aquifer shuttle electrons to enhance microbial iron reduction. (33 citations)
- Dissolved fulvic acids from a high arsenic aquifer shuttle electrons to enhance microbial iron reduction. (33 citations)
- A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents (27 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Artificial intelligence
- Groundwater
His primary areas of investigation include Reinforcement learning, Artificial intelligence, Arsenic, Groundwater and Aquifer.
His Reinforcement learning research focuses on Deep learning and how it relates to Adversary, Computer security and Adversarial system.
In the subject of general Artificial intelligence, his work in Artificial neural network and Variety is often linked to Abstraction, Hierarchy and Rate of convergence, thereby combining diverse domains of study.
In the field of Arsenic, his study on ARSENIC EXPOSURE overlaps with subjects such as Environmental health, Database transaction and Real estate.
His biological study spans a wide range of topics, including Spatial ecology, Sedimentary depositional environment, Spatial distribution and Machine learning.
His studies in Aquifer integrate themes in fields like Inorganic chemistry, Sediment, Holocene and Iron reduction.
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