Yanping Huang: h-index, Total Citations, and Citation Map
Yanping Huang's h-index is 32 (39 i10-index, 41,965+ total citations across 69+ publications) according to Google Scholar as of September 2026.
Yanping Huang is a researcher affiliated with their institution, specializing in Artificial Intelligence, Deep Learning, Machine Learning Systems. Their work has been cited 41,965 times. This profile visualizes their global influence, spanning a global audience.
Yanping Huang's Citation Metrics
Bibliometric impact based on 69 indexed publications.
- H-Index
- 32
- i10-Index
- 39
- Total Citations
- 41,965
- Citing Countries
- 0
As of September 2026.
Yanping Huang has an h-index of 32 and 41,965 total citations across 69 publications, with research cited by institutions in 0 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Yanping Huang'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.
Gemini: a family of highly capable multimodal models
20239,329
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 Yanping Huang's research
Yanping Huang is a researcher working on Artificial Intelligence, Deep Learning and Machine Learning Systems. Their work has been cited 41,965 times across 69 publications (h-index 32), according to Google Scholar.
Their most-cited work, “Gemini: a family of highly capable multimodal models” (2023), has accumulated 9,329 citations. Other influential works include “Scaling instruction-finetuned language models” (2024) with 6,187 citations and “Regularized evolution for image classifier architecture search” (2019) with 4,370 citations.
