Tie-Yan Liu Google Scholar: h-index, Total Citations, and Citation Map
Tie-Yan Liu's h-index is 116 (738 i10-index, 108,842+ total citations across 1,000+ publications) according to Google Scholar as of November 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 108,842 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Tie-Yan Liu's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 116
- i10-Index
- 738
- Total Citations
- 108,842
- Citing Countries
- 77
As of November 2026.
Tie-Yan Liu has an h-index of 116 and 108,842 total citations across 1000 publications, with research cited by institutions in 77 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 108,842 times across 1,000 publications (h-index 116), according to Google Scholar.
Their most-cited work, “LightGBM: A Highly Efficient Gradient Boosting Decision Tree” (2017), has accumulated 24,843 citations. Other influential works include “Learning to rank for information retrieval” (2009) with 4,846 citations and “Learning to rank: from pairwise approach to listwise approach” (2007) with 3,177 citations.
Citations of Tie-Yan Liu'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.
