Yang Gao: h-index, Total Citations, and Citation Map
Yang Gao's h-index is 83 (453 i10-index, 31,658+ total citations across 990+ publications) according to Google Scholar as of July 2026. Yang Gao is affiliated with Nanjing University, China.
Yang Gao is a researcher affiliated with Nanjing University, China, specializing in Artificial Intelligence, Machine Learning, Multi-agent Systems. Their work has been cited 31,658 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yang Gao's Citation Metrics
Bibliometric impact based on 990 indexed publications.
- H-Index
- 83
- i10-Index
- 453
- Total Citations
- 31,658
- Citing Countries
- 15
As of July 2026.
Yang Gao has an h-index of 83 and 31,658 total citations across 990 publications, with research cited by institutions in 15 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Yang Gao'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.
End-to-end learning of driving models from large-scale video datasets
20171,234
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
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 Yang Gao's research
Yang Gao is a researcher in Artificial Intelligence, Machine Learning and Multi-agent Systems at Nanjing University, China. Their work has been cited 31,658 times across 990 publications (h-index 83), according to Google Scholar.
Their most-cited work, “End-to-end learning of driving models from large-scale video datasets” (2017), has accumulated 1,234 citations. Other influential works include “Compact bilinear pooling” (2016) with 1,157 citations and “MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance” (2019) with 952 citations.
Citations of Yang Gao's research come primarily from China, United States and Egypt, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
