Sze Kim Pang
Sze Kim Pang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Target Tracking and Data Fusion in Sensor Networks, Bayesian Methods and Mixture Models and Video Surveillance and Tracking Methods.
- World rank
- #2,065,527 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #151,021 of 367,258
- Works
- 18
- Citations
- 648
- Citations per work
- 36.0
What does Sze Kim Pang research?
Sze Kim Pang's work is mostly in Computer Science (56%), Physics and Astronomy (11%), Engineering (6%).
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 Sciences1476.0%
- Computer Science1055.6%
- Physics and Astronomy211.1%
- Engineering15.6%
- Mathematics13.7%
- Everything else420.3%
- Social Sciences13.7%
- Social Sciences13.7%
- 1Artificial Intelligence39% of their works
- 2Computer Vision and Pattern Recognition17% of their works
- 3Statistical and Nonlinear Physics11% of their works
- 4Media Technology6% of their works
- 5Statistics and Probability4% of their works
- 6Sociology and Political Science4% of their works
Research topics
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Methods and Mixture Models
- Video Surveillance and Tracking Methods
- Gaussian Processes and Bayesian Inference
- Opinion Dynamics and Social Influence
- Underwater Acoustics Research
- Remote-Sensing Image Classification
- Complex Network Analysis Techniques
Which keywords describe Sze Kim Pang's research?
The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Deep Learning, Variational Inference, Clustering, Mixture Models and Machine Learning.
- Seafloor Mapping
- Image Analysis
- Community Structure
- Sparse Regression
- Gaussian Processes
- Visual Tracking
- Social Influence
- Machine Learning
- Clustering
- Deep Learning
- Nonlinear Estimation
- Bayesian Inference
- Particle Filters
- Variational Inference
- Mixture Models
- Network Dynamics
- Object Tracking
- Bounded Confidence
- Opinion Dynamics
- Acoustic Techniques
- Hyperspectral
- Scale-Free Networks
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 22 words, with their numbers
- Bayesian Inference203 topics
- Nonlinear Estimation111 topic
- Particle Filters111 topic
- Deep Learning93 topics
- Variational Inference92 topics
- Clustering61 topic
- Mixture Models61 topic
- Machine Learning52 topics
- Network Dynamics52 topics
- Social Influence52 topics
- Object Tracking41 topic
- Visual Tracking41 topic
- Bounded Confidence31 topic
- Gaussian Processes31 topic
- Opinion Dynamics31 topic
- Sparse Regression31 topic
- Acoustic Techniques21 topic
- Community Structure21 topic
- Hyperspectral21 topic
- Image Analysis21 topic
- Scale-Free Networks21 topic
- Seafloor Mapping21 topic
Where does Sze Kim Pang work?
Sze Kim Pang's main affiliation in the publication record is University of Cambridge, United Kingdom.
How many publications and citations does Sze Kim Pang have?
OpenAlex counts 18 works and 648 citations for Sze Kim Pang, an h-index of 11, ranking #2,065,527 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.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Sze Kim Pang. Posts are plain text and can be reported.