Qiaozhu Mei: h-index, Total Citations, and Citation Map
Qiaozhu Mei's h-index is 70 (156 i10-index, 31,073+ total citations across 266+ publications) according to Google Scholar as of July 2026. Qiaozhu Mei is affiliated with Professor, University of Michigan.
Qiaozhu Mei is a researcher affiliated with Professor, University of Michigan, specializing in AI, data mining, information retrieval. Their work has been cited 31,073 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Qiaozhu Mei's Citation Metrics
Bibliometric impact based on 266 indexed publications.
- H-Index
- 70
- i10-Index
- 156
- Total Citations
- 31,073
- Citing Countries
- 65
As of July 2026.
Qiaozhu Mei has an h-index of 70 and 31,073 total citations across 266 publications, with research cited by institutions in 65 countries.
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Global Impact Map
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Line: Large-scale information network embedding
20157,360
Top Citing Countries
Top Citing Institutions
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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.
183 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a foundational mixture model framework for contextual text mining, subsequently extending it to model topic sentiment facets and enable automatic labeling of multinomial topic models.
The researcher pioneered probabilistic methods for spatiotemporal theme mining, establishing a foundational framework for context-aware natural language generation and network-regularized topic modeling.
The researcher established a foundational framework for characterizing large-scale smartphone usage patterns, subsequently extending this work to analyze app update adoption and predict battery life.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Qiaozhu Mei's research
Qiaozhu Mei is a researcher in AI, data mining and information retrieval at Professor, University of Michigan. Their work has been cited 31,073 times across 266 publications (h-index 70), according to Google Scholar.
Their most-cited work, “Line: Large-scale information network embedding” (2015), has accumulated 7,360 citations. Other influential works include “Beyond the imitation game: Quantifying and extrapolating the capabilities of language models” (2023) with 2,813 citations and “Rumor has it: Identifying misinformation in microblogs” (2011) with 1,217 citations.
Citations of Qiaozhu Mei'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.
