Ting Chen: h-index, Total Citations, and Citation Map
Ting Chen's h-index is 1 (1 i10-index, 50,976+ total citations across 1+ publications) according to Google Scholar as of June 2026. Ting Chen is affiliated with Unknown affiliation.
Ting Chen is a researcher affiliated with Unknown affiliation, specializing in AI & Machine Learning. Their work has been cited 50,976 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ting Chen's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 50,976
- Citing Countries
- 4
As of June 2026.
Ting Chen has an h-index of 1 and 50,976 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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A simple framework for contrastive learning of visual representations
202034,402
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 Ting Chen's research
Ting Chen is a researcher in AI & Machine Learning at Unknown affiliation. Their work has been cited 50,976 times across 1 publications, according to Google Scholar.
Their most-cited work, “A simple framework for contrastive learning of visual representations” (2020), has accumulated 34,402 citations.
Citations of Ting Chen's research come primarily from China, United States and France, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
