Kai Chen: h-index, Total Citations, and Citation Map
Kai Chen's h-index is 1 (1 i10-index, 126,271+ total citations across 1+ publications) according to Google Scholar as of June 2026. Kai Chen is affiliated with Google Inc..
Kai Chen is a researcher affiliated with Google Inc., specializing in AI & Machine Learning. Their work has been cited 126,271 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Kai Chen's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 126,271
- Citing Countries
- 8
As of June 2026.
Kai Chen has an h-index of 1 and 126,271 total citations across 1 publication, with research cited by institutions in 8 countries.
Global Impact Map
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Efficient estimation of word representations in vector space
201352,634
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)
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About Kai Chen's research
Kai Chen is a researcher in AI & Machine Learning at Google Inc.. Their work has been cited 126,271 times across 1 publications, according to Google Scholar.
Their most-cited work, “Efficient estimation of word representations in vector space” (2013), has accumulated 52,634 citations.
Citations of Kai Chen's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
