Yang Gao Google Scholar: h-index, Total Citations, and Citation Map
Yang Gao's h-index is 83 (453 i10-index, 34,904+ total citations across 100+ publications) according to Google Scholar as of October 2026. Yang Gao is affiliated with Nanjing University.
Yang Gao is a researcher affiliated with Nanjing University, specializing in Artificial Intelligence, Machine Learning, Multi-agent Systems. Their work has been cited 34,904 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yang Gao's Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 83
- i10-Index
- 453
- Total Citations
- 34,904
- Citing Countries
- 72
As of October 2026.
Yang Gao has an h-index of 83 and 34,904 total citations across 100 publications, with research cited by institutions in 72 countries.
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Global Impact Map
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Approximate Computing
20222,350
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yang Gao's research
Yang Gao is a researcher in Artificial Intelligence, Machine Learning and Multi-agent Systems at Nanjing University. Their work has been cited 34,904 times across 100 publications (h-index 83), according to Google Scholar.
Their most-cited work, “Approximate Computing” (2022), has accumulated 2,350 citations. Other influential works include “End-to-end learning of driving models from large-scale video datasets” (2017) with 1,234 citations and “Compact bilinear pooling” (2016) with 1,157 citations.
Citations of Yang Gao's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
