Yee Whye Teh: h-index, Total Citations, and Citation Map
Yee Whye Teh's h-index is 93 (245 i10-index, 76,549+ total citations across 416+ publications) according to Google Scholar as of July 2026. Yee Whye Teh is affiliated with Professor of Statistical Machine Learning, Oxford, Research Director, Google DeepMind.
Yee Whye Teh is a researcher affiliated with Professor of Statistical Machine Learning, Oxford, Research Director, Google DeepMind, specializing in various fields. Their work has been cited 76,549 times. This profile visualizes their global influence, spanning a global audience.
Yee Whye Teh's Citation Metrics
Bibliometric impact based on 416 indexed publications.
- H-Index
- 93
- i10-Index
- 245
- Total Citations
- 76,549
- Citing Countries
- 0
As of July 2026.
Yee Whye Teh has an h-index of 93 and 76,549 total citations across 416 publications, with research cited by institutions in 0 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Yee Whye Teh's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
A fast learning algorithm for deep belief nets
200624,376
Top Citing Countries
Top Citing Institutions
No institution data available.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Yee Whye Teh's research
Yee Whye Teh is a researcher at Professor of Statistical Machine Learning, Oxford, Research Director, Google DeepMind. Their work has been cited 76,549 times across 416 publications (h-index 93), according to Google Scholar.
Their most-cited work, “A fast learning algorithm for deep belief nets” (2006), has accumulated 24,376 citations. Other influential works include “Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.” (2005) with 5,816 citations and “Bayesian Learning via Stochastic Gradient Langevin Dynamics” (2011) with 4,038 citations.
