Gao Huang （黄高）: h-index, Total Citations, and Citation Map
Gao Huang （黄高）'s h-index is 83 (203 i10-index, 110,656+ total citations across 272+ publications) according to Google Scholar as of July 2026. Gao Huang （黄高） is affiliated with Associate Professor, Tsinghua University.
Gao Huang （黄高） is a researcher affiliated with Associate Professor, Tsinghua University, specializing in Artificial Intelligence, Deep Learning, Computer Vision. Their work has been cited 110,656 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Gao Huang （黄高）'s Citation Metrics
Bibliometric impact based on 272 indexed publications.
- H-Index
- 83
- i10-Index
- 203
- Total Citations
- 110,656
- Citing Countries
- 23
As of July 2026.
Gao Huang （黄高） has an h-index of 83 and 110,656 total citations across 272 publications, with research cited by institutions in 23 countries.
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Densely connected convolutional networks
201765,029
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Gao Huang （黄高）'s research
Gao Huang （黄高） is a researcher in Artificial Intelligence, Deep Learning and Computer Vision at Associate Professor, Tsinghua University. Their work has been cited 110,656 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 （黄高）'s research come primarily from United States, China and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
