Tsung-Yi Lin Google Scholar: h-index, Total Citations, and Citation Map
Tsung-Yi Lin's h-index is 48 (62 i10-index, 208,894+ total citations across 100+ publications) according to Google Scholar as of November 2026. Tsung-Yi Lin is affiliated with NVIDIA.
Tsung-Yi Lin is a researcher affiliated with NVIDIA, specializing in AI & Machine Learning. Their work has been cited 208,894 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Tsung-Yi Lin's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 48
- i10-Index
- 62
- Total Citations
- 208,894
- Citing Countries
- 65
As of November 2026.
Tsung-Yi Lin has an h-index of 48 and 208,894 total citations across 100 publications, with research cited by institutions in 65 countries.
Global Impact Map
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Microsoft coco: Common objects in context
201477,281
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 Tsung-Yi Lin's research
Tsung-Yi Lin is a researcher in AI & Machine Learning at NVIDIA. Their work has been cited 208,894 times across 100 publications (h-index 48), according to Google Scholar.
Their most-cited work, “Microsoft coco: Common objects in context” (2014), has accumulated 77,281 citations. Other influential work includes “Focal Loss for Dense Object Detection” (2017) with 54,741 citations.
Citations of Tsung-Yi Lin'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.
