What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- The Internet
John Yen mostly deals with Fuzzy logic, Artificial intelligence, Machine learning, Fuzzy set and Neuro-fuzzy.
His Fuzzy logic study frequently draws connections between related disciplines such as Intelligent decision support system.
John Yen has researched Machine learning in several fields, including Scheme, Component and Social network.
His Fuzzy set research includes elements of Iterative and incremental development, Software engineering, Quality function deployment and Requirements elicitation.
John Yen specializes in Neuro-fuzzy, namely Fuzzy electronics.
John Yen has included themes like Industrial control system and Fuzzy Control Language in his Fuzzy electronics study.
His most cited work include:
- Fuzzy Logic: Intelligence, Control, and Information (795 citations)
- FLAME—Fuzzy Logic Adaptive Model of Emotions (396 citations)
- Simplifying fuzzy rule-based models using orthogonal transformation methods (270 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Fuzzy logic, Knowledge management, Teamwork and Machine learning are his primary areas of study.
His Artificial intelligence research is multidisciplinary, relying on both Data mining and Pattern recognition.
Fuzzy control system, Fuzzy set, Fuzzy set operations, Neuro-fuzzy and Fuzzy electronics are the primary areas of interest in his Fuzzy logic study.
His work carried out in the field of Fuzzy set operations brings together such families of science as Fuzzy number, Defuzzification and Fuzzy classification.
His Knowledge management research incorporates themes from R-CAST, Multi-agent system, Agent architecture, Software agent and Decision support system.
His work deals with themes such as Semantics and Information needs, which intersect with Teamwork.
He most often published in these fields:
- Artificial intelligence (24.26%)
- Fuzzy logic (20.75%)
- Knowledge management (18.33%)
What were the highlights of his more recent work (between 2010-2020)?
- Data science (7.55%)
- Artificial intelligence (24.26%)
- Online health communities (3.23%)
In recent papers he was focusing on the following fields of study:
John Yen focuses on Data science, Artificial intelligence, Online health communities, Social support and Data mining.
His Data science research is multidisciplinary, incorporating perspectives in Social network analysis, Social network, Context, Task and Analytic reasoning.
His Artificial intelligence study frequently draws parallels with other fields, such as Machine learning.
His Online health communities study combines topics in areas such as Sentiment analysis, Conversation and Identification.
The Social support study combines topics in areas such as Structure, Adaptation and Internet privacy.
He combines subjects such as Fuzzy logic and Rule-based system with his study of Dempster–Shafer theory.
Between 2010 and 2020, his most popular works were:
- Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions (158 citations)
- Classifying text messages for the haiti earthquake (123 citations)
- Seeking the trustworthy tweet: Can microblogged data fit the information needs of disaster response and humanitarian relief organizations (94 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- The Internet
His primary scientific interests are in Internet privacy, Social support, Data science, Online health communities and Sentiment analysis.
His Internet privacy study deals with Social media intersecting with Information technology, Emergency management and Enhanced Messaging Service.
His Data science study integrates concerns from other disciplines, such as TRACE, Analytic reasoning and Task, Task analysis.
His Online health communities study combines topics from a wide range of disciplines, such as Data mining, Affect, Classifier and World Wide Web, The Internet.
His Affect research includes themes of Social network analysis, Health care and Identification.
The various areas that John Yen examines in his World Wide Web study include Domain, Co-training, Social influence and Product.
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.
