Xin LIU: h-index, Total Citations, and Citation Map
Xin LIU's h-index is 27 (60 i10-index, 4,985+ total citations across 105+ publications) according to Google Scholar as of June 2026. Xin LIU is affiliated with Academy of Mathematics and Systems Science, Chinese Academy of Sciences.
Xin LIU is a researcher affiliated with Academy of Mathematics and Systems Science, Chinese Academy of Sciences, specializing in Nonlinear Optimization, Matrix Optimization, Eigenvalue Decomposition. Their work has been cited 4,985 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Xin LIU's Citation Metrics
Bibliometric impact based on 105 indexed publications.
- H-Index
- 27
- i10-Index
- 60
- Total Citations
- 4,985
- Citing Countries
- 80
As of June 2026.
Xin LIU has an h-index of 27 and 4,985 total citations across 105 publications, with research cited by institutions in 80 countries.
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Global Impact Map
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Artificial intelligence: A powerful paradigm for scientific research
20212,375
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
731 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Xin LIU's research
Xin LIU is a researcher in Nonlinear Optimization, Matrix Optimization and Eigenvalue Decomposition at Academy of Mathematics and Systems Science, Chinese Academy of Sciences. Their work has been cited 4,985 times across 105 publications (h-index 27), according to Google Scholar.
Their most-cited work, “Artificial intelligence: A powerful paradigm for scientific research” (2021), has accumulated 2,375 citations. Other influential works include “A brief introduction to manifold optimization” (2020) with 292 citations and “Alternating direction methods for classical and ptychographic phase retrieval” (2012) with 237 citations.
Citations of Xin 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.
