Kai Chen Google Scholar: h-index, Total Citations, and Citation Map
Kai Chen's h-index is 42 (77 i10-index, 134,435+ total citations across 141+ publications) according to Google Scholar as of November 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 134,435 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Kai Chen's Citation Metrics
Bibliometric impact based on 141 indexed publications.
- H-Index
- 42
- i10-Index
- 77
- Total Citations
- 134,435
- Citing Countries
- 44
As of November 2026.
Kai Chen has an h-index of 42 and 134,435 total citations across 141 publications, with research cited by institutions in 44 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 134,435 times across 141 publications (h-index 42), according to Google Scholar.
Their most-cited work, “Efficient estimation of word representations in vector space” (2013), has accumulated 52,634 citations. Other influential works include “The Individual Experience of Online Chemistry Teacher Education in China: Coping with COVID-19 Pandemic” (2020) with 22 citations and “Integrating Aesthetics Education into Chemistry Education: Students Perceive, Appreciate, Explore, and Create the Beauty of Chemistry in Scientific Photography Activity” (2020) with 16 citations.
Citations of Kai Chen's research come primarily from China, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
