Jun Yao
Jun Yao publishes mostly in Management Science and Operations Research, Artificial Intelligence and Marketing, on topics such as Consumer Behavior in Brand Consumption and Identification, Consumer Market Behavior and Pricing and Stock Market Forecasting Methods.
- World rank
- #1,308,563 of 1,633,909 ranked researchers
- Rank in China
- #133,645 of 187,979
- Works
- 25
- Citations
- 58
- Citations per work
- 2.3
What does Jun Yao research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Management Science and Operations Research9% of their works
- 2Artificial Intelligence9% of their works
- 3Marketing9% of their works
- 4Management Information Systems6% of their works
- 5Economics and Econometrics4% of their works
- 6Mechanical Engineering4% of their works
Research topics
- Consumer Behavior in Brand Consumption and Identification
- Consumer Market Behavior and Pricing
- Stock Market Forecasting Methods
- Advanced Bandit Algorithms Research
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
Which keywords describe Jun Yao's research?
The keywords of their largest research topics: Consumer Behavior, Deep Learning, Neural Networks, Bandit Optimization, Bayesian Optimization, Brand Equity, Brand Trust and Marketing Strategies.
- Reinforcement Learning
- Quantum Computation
- Particle Swarm Optimization
- Differential Evolution
- Stock Market Prediction
- Marketing Strategies
- Brand Equity
- Bandit Optimization
- Deep Learning
- Consumer Behavior
- Neural Networks
- Bayesian Optimization
- Brand Trust
- Retail Economics
- Time Series Forecasting
- Entanglement
- Quantum
- Quantum Information
- Robotics
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Consumer Behavior42 topics
- Deep Learning32 topics
- Neural Networks32 topics
- Bandit Optimization21 topic
- Bayesian Optimization21 topic
- Brand Equity21 topic
- Brand Trust21 topic
- Marketing Strategies21 topic
- Retail Economics21 topic
- Stock Market Prediction21 topic
- Time Series Forecasting21 topic
- Differential Evolution11 topic
- Entanglement11 topic
- Particle Swarm Optimization11 topic
- Quantum11 topic
- Quantum Computation11 topic
- Quantum Information11 topic
- Reinforcement Learning11 topic
- Robotics11 topic
Where does Jun Yao work?
Jun Yao's main affiliation in the publication record is Shanghai University, China.
How many publications and citations does Jun Yao have?
Science Explorer counts 25 works and 58 citations for Jun Yao, ranking #1,308,563 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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