What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer network
His scientific interests lie mostly in Cognitive psychology, Artificial intelligence, Word recognition, Gaze and Vocabulary.
His studies in Cognitive psychology integrate themes in fields like Visual perception, Language acquisition, Eye movement and Embodied cognition.
The Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing.
His Word recognition research is multidisciplinary, incorporating perspectives in Referent and Word.
His research investigates the connection with Gaze and areas like Joint attention which intersect with concerns in Eye–hand coordination.
His study in Vocabulary is interdisciplinary in nature, drawing from both Associative learning and Verbal learning.
His most cited work include:
- Infants rapidly learn word-referent mappings via cross-situational statistics (556 citations)
- Rapid Word Learning Under Uncertainty via Cross-Situational Statistics: (386 citations)
- Embodied attention and word learning by toddlers. (236 citations)
What are the main themes of his work throughout his whole career to date?
Chen Yu focuses on Cognitive psychology, Artificial intelligence, Language acquisition, Natural language processing and Eye tracking.
His Cognitive psychology research is multidisciplinary, relying on both Referent, Vocabulary, Situated learning and Embodied cognition.
His work in Artificial intelligence addresses subjects such as Machine learning, which are connected to disciplines such as Data mining.
He has researched Language acquisition in several fields, including Context, Noun, Pseudoword, Ambiguity and Associative learning.
His work in Natural language processing addresses issues such as Multimodal learning, which are connected to fields such as Natural language.
His study focuses on the intersection of Eye tracking and fields such as Gaze with connections in the field of Joint attention.
He most often published in these fields:
- Cognitive psychology (37.16%)
- Artificial intelligence (31.03%)
- Language acquisition (16.48%)
What were the highlights of his more recent work (between 2017-2021)?
- Cognitive psychology (37.16%)
- Eye tracking (14.18%)
- Artificial intelligence (31.03%)
In recent papers he was focusing on the following fields of study:
Chen Yu spends much of his time researching Cognitive psychology, Eye tracking, Artificial intelligence, Gaze and Context.
His Cognitive psychology research includes elements of Vocabulary, Motor skill and Situated learning.
As part of the same scientific family, Chen Yu usually focuses on Eye tracking, concentrating on Visual attention and intersecting with Eye–hand coordination.
His Artificial intelligence research includes themes of Machine learning, Computer vision and Natural language processing.
His Gaze research integrates issues from Object and Hearing loss.
The various areas that he examines in his Context study include Associative learning, Language acquisition, Joint attention and Autism spectrum disorder.
Between 2017 and 2021, his most popular works were:
- Infant sustained attention but not joint attention to objects at 9 months predicts vocabulary at 12 and 15 months. (60 citations)
- The Developing Infant Creates a Curriculum for Statistical Learning (52 citations)
- Multimodal parent behaviors within joint attention support sustained attention in infants (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer network
Eye tracking, Gaze, Cognitive psychology, Object and Context are his primary areas of study.
The concepts of his Eye tracking study are interwoven with issues in Object, Structure and Human–computer interaction.
Gaze is the topic of his studies on Computer vision and Artificial intelligence.
His biological study spans a wide range of topics, including Vocabulary, Vocabulary development and Parental influence.
His work is dedicated to discovering how Vocabulary, Language development are connected with Joint attention and other disciplines.
His research in Context intersects with topics in Language acquisition and Sequence learning.
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.
