Xin T. Tong
Xin T. Tong publishes mostly in Artificial Intelligence, Statistics and Probability and Computer Networks and Communications, on topics such as Stochastic Gradient Optimization Techniques, Markov Chains and Monte Carlo Methods and Advanced Mathematical Modeling in Engineering.
- World rank
- #1,514,807 of 1,633,909 ranked researchers
- Rank in United States
- #341,761 of 358,040
- Works
- 21
- Citations
- 29
- Citations per work
- 1.4
What does Xin T. Tong research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence21% of their works
- 2Statistics and Probability9% of their works
- 3Computer Networks and Communications6% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Mathematical Physics6% of their works
- 6Applied Mathematics6% of their works
Research topics
- Stochastic Gradient Optimization Techniques
- Markov Chains and Monte Carlo Methods
- Advanced Mathematical Modeling in Engineering
- Nonlinear Partial Differential Equations
- Alkaloids: synthesis and pharmacology
- Geochemistry and Geologic Mapping
- Quantum Computing Algorithms and Architecture
- Machine Learning and Algorithms
Which keywords describe Xin T. Tong's research?
The keywords of their largest research topics: Approximation Algorithms, Deep Learning, Bayesian Monte Carlo, Markov Chain, Random Projections, Stochastic Gradient Descent, Fractional Laplacian and Heterogeneous.
- Remote Sensing
- Quantum Computation
- Kratom
- Active Learning
- Multiscale Methods
- Heterogeneous
- Stochastic Gradient Descent
- Markov Chain
- Deep Learning
- Approximation Algorithms
- Bayesian Monte Carlo
- Random Projections
- Fractional Laplacian
- Machine Learning
- Sobolev Spaces
- Alkaloids
- Mineral Prospectivity
- Quantum Information
- Semi-Supervised Learning
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
- Approximation Algorithms62 topics
- Deep Learning42 topics
- Bayesian Monte Carlo31 topic
- Markov Chain31 topic
- Random Projections31 topic
- Stochastic Gradient Descent31 topic
- Fractional Laplacian21 topic
- Heterogeneous21 topic
- Machine Learning22 topics
- Multiscale Methods21 topic
- Sobolev Spaces21 topic
- Active Learning11 topic
- Alkaloids11 topic
- Kratom11 topic
- Mineral Prospectivity11 topic
- Quantum Computation11 topic
- Quantum Information11 topic
- Remote Sensing11 topic
- Semi-Supervised Learning11 topic
Where does Xin T. Tong work?
Xin T. Tong's main affiliation in the publication record is Courant Institute of Mathematical Sciences, United States.
How many publications and citations does Xin T. Tong have?
Science Explorer counts 21 works and 29 citations for Xin T. Tong, ranking #1,514,807 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.