Gao Huang Google Scholar: h-index, Total Citations, and Citation Map
Gao Huang's h-index is 83 (203 i10-index, 113,438+ total citations across 272+ publications) according to Google Scholar as of October 2026. Gao Huang is affiliated with Tsinghua University.
Gao Huang is a researcher affiliated with Tsinghua University, specializing in Artificial Intelligence, Deep Learning, Computer Vision. Their work has been cited 113,438 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Gao Huang's Citation Metrics
Bibliometric impact based on 272 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 83
- i10-Index
- 203
- Total Citations
- 113,438
- Citing Countries
- 68
As of October 2026.
Gao Huang has an h-index of 83 and 113,438 total citations across 272 publications, with research cited by institutions in 68 countries.
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Densely connected convolutional networks
201765,029
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 Gao Huang's research
Gao Huang is a researcher in Artificial Intelligence, Deep Learning and Computer Vision at Tsinghua University. Their work has been cited 113,438 times across 272 publications (h-index 83), according to Google Scholar.
Their most-cited work, “Densely connected convolutional networks” (2017), has accumulated 65,029 citations. Other influential works include “Learning efficient convolutional networks through network slimming” (2017) with 3,975 citations and “Deep Networks with Stochastic Depth” (2016) with 3,453 citations.
Citations of Gao Huang'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.
