Wei Li
Wei Li publishes mostly in Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, on topics such as Statistical Methods and Inference, Advanced Causal Inference Techniques and Statistical Methods and Bayesian Inference.
- World rank
- #5,306,851 of 7,710,434 ranked researchers
- Rank in United States
- #1,353,350 of 1,627,098
- Works
- 20
- Citations
- 163
- Citations per work
- 8.2
What does Wei Li research?
Wei Li's work is mostly in Mathematics (72%), Computer Science (9%), Environmental Science (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences1784.9%
- Mathematics1471.7%
- Computer Science29.4%
- Environmental Science13.8%
- Everything else211.3%
- Social Sciences13.8%
- Decision Sciences13.8%
- 1Statistics and Probability70% of their works
- 2Artificial Intelligence8% of their works
- 3Statistics, Probability and Uncertainty4% of their works
- 4Environmental Chemistry4% of their works
- 5Algebra and Number Theory2% of their works
- 6Computer Vision and Pattern Recognition2% of their works
Research topics
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Fuzzy Systems and Optimization
- Probabilistic and Robust Engineering Design
- Anomaly Detection Techniques and Applications
- Bayesian Methods and Mixture Models
Which keywords describe Wei Li's research?
The keywords of their largest research topics: Bayesian Methods, High-Dimensional Data, Regularization, Variable Selection, Causal Inference, Propensity Score, Sensitivity Analysis and Bayesian Modeling.
- Mixture Models
- Anomaly Detection
- Uncertainty Quantification
- Fuzzy Differential Equations
- Adaptive Designs
- Bayesian Modeling
- Propensity Score
- Variable Selection
- High-Dimensional Data
- Bayesian Methods
- Regularization
- Causal Inference
- Sensitivity Analysis
- Multiple Imputation
- False Discovery Rate
- Polynomial Chaos
- Uncertainty Theory
- Clustering
- Unsupervised
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
- Bayesian Methods182 topics
- High-Dimensional Data152 topics
- Regularization141 topic
- Variable Selection141 topic
- Causal Inference81 topic
- Propensity Score81 topic
- Sensitivity Analysis82 topics
- Bayesian Modeling61 topic
- Multiple Imputation61 topic
- Adaptive Designs41 topic
- False Discovery Rate41 topic
- Fuzzy Differential Equations21 topic
- Polynomial Chaos21 topic
- Uncertainty Quantification21 topic
- Uncertainty Theory21 topic
- Anomaly Detection11 topic
- Clustering11 topic
- Mixture Models11 topic
- Unsupervised11 topic
Where does Wei Li work?
Wei Li's main affiliation in the publication record is Syracuse University, United States.
How many publications and citations does Wei Li have?
OpenAlex counts 20 works and 163 citations for Wei Li, an h-index of 5, ranking #5,306,851 of 7,710,434 researchers worldwide on the quality 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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