Tie-Yan Liu: h-index, Total Citations, and Citation Map
Tie-Yan Liu's h-index is 1 (1 i10-index, 98,496+ total citations across 1+ publications) according to Google Scholar as of June 2026. Tie-Yan Liu is affiliated with President, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA Fellow.
Tie-Yan Liu is a researcher affiliated with President, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA Fellow, specializing in AI & Machine Learning. Their work has been cited 98,496 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Tie-Yan Liu's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 98,496
- Citing Countries
- 6
As of June 2026.
Tie-Yan Liu has an h-index of 1 and 98,496 total citations across 1 publication, with research cited by institutions in 6 countries.
Global Impact Map
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LightGBM: A Highly Efficient Gradient Boosting Decision Tree
201724,843
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 Tie-Yan Liu's research
Tie-Yan Liu is a researcher in AI & Machine Learning at President, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA Fellow. Their work has been cited 98,496 times across 1 publications, according to Google Scholar.
Their most-cited work, “LightGBM: A Highly Efficient Gradient Boosting Decision Tree” (2017), has accumulated 24,843 citations.
Citations of Tie-Yan Liu's research come primarily from Australia, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
