What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Software
His primary areas of investigation include Mechanics, Airflow, Nanotechnology, Laminar flow and Deposition.
His research ties Particle deposition and Mechanics together.
The various areas that Zhe Zhang examines in his Airflow study include Volumetric flow rate and Particle size.
His work on Nanoparticle and Ultrafine particle is typically connected to Range as part of general Nanotechnology study, connecting several disciplines of science.
His Deposition study is concerned with Meteorology in general.
His work on Aerosol as part of his general Meteorology study is frequently connected to Plane and Inlet, thereby bridging the divide between different branches of science.
His most cited work include:
- Comparison of micro- and nano-size particle depositions in a human upper airway model (238 citations)
- Airflow structures and nano-particle deposition in a human upper airway model (191 citations)
- Airflow and Particle Transport in the Human Respiratory System (188 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Airflow, Mechanics, Artificial intelligence, Distributed computing and Deposition.
His biological study spans a wide range of topics, including Nanotechnology, Flow and Volumetric flow rate.
The Nanoparticle and Ultrafine particle research Zhe Zhang does as part of his general Nanotechnology study is frequently linked to other disciplines of science, such as Range and Depot, therefore creating a link between diverse domains of science.
His Mechanics research incorporates elements of Meteorology and Particle deposition.
His Distributed computing research incorporates themes from Scalability, Cloud computing, File system and Overhead.
His research integrates issues of Evaporation and Simulation in his study of Deposition.
He most often published in these fields:
- Airflow (22.22%)
- Mechanics (22.22%)
- Artificial intelligence (15.15%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (15.15%)
- Natural language processing (11.11%)
- Margin (4.04%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Margin, Sentiment analysis and Information retrieval.
As part of his studies on Artificial intelligence, Zhe Zhang often connects relevant areas like Software.
His work on Question answering as part of general Natural language processing study is frequently linked to Markov random field, Weighting and Search terms, therefore connecting diverse disciplines of science.
His Margin study combines topics in areas such as Context, Word, Semantic similarity and Benchmark.
His Sentiment analysis research is multidisciplinary, incorporating elements of Classifier and Data science.
The concepts of his Information retrieval study are interwoven with issues in Timestamp, Relation and Matching.
Between 2016 and 2021, his most popular works were:
- Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations. (8 citations)
- Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers (6 citations)
- In Opinion Holders’ Shoes: Modeling Cumulative Influence for View Change in Online Argumentation (4 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Software
His primary scientific interests are in Artificial intelligence, Natural language processing, Action, Information retrieval and Parsing.
His Artificial intelligence study frequently draws connections between adjacent fields such as Medical history.
Zhe Zhang regularly ties together related areas like Software in his Natural language processing studies.
He incorporates Action and Timestamp in his studies.
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