Lu Yuan: h-index, Total Citations, and Citation Map
Lu Yuan's h-index is 88 (145 i10-index, 50,000+ total citations across 198+ publications) according to Google Scholar as of September 2026. Lu Yuan is affiliated with Research Scientist Manager, GenAI, Meta.
Lu Yuan is a researcher affiliated with Research Scientist Manager, GenAI, Meta, specializing in Multi-modal Foundation Model, Neural Image Synthesis and Editing, Computation Photography. Their work has been cited 50,000 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Lu Yuan's Citation Metrics
Bibliometric impact based on 198 indexed publications.
- H-Index
- 88
- i10-Index
- 145
- Total Citations
- 50,000
- Citing Countries
- 70
As of September 2026.
Lu Yuan has an h-index of 88 and 50,000 total citations across 198 publications, with research cited by institutions in 70 countries.
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Global Impact Map
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Phi-3 technical report: A highly capable language model locally on your phone, 2024
20244,028
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.
8 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced vision transformers by developing focal and dual attention mechanisms for local-global interactions, establishing a unified representation framework that significantly influenced independent computer vision research.
The researcher pioneered the Florence foundation model for computer vision, subsequently extending this framework to region-based language-image pretraining, establishing a highly cited and independently adopted research lineage.
The researcher advanced neural image processing by developing explicit style representations and gated context aggregation networks, establishing foundational methods for style transfer and image restoration.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Lu Yuan's research
Lu Yuan is a researcher in Multi-modal Foundation Model, Neural Image Synthesis and Editing and Computation Photography at Research Scientist Manager, GenAI, Meta. Their work has been cited 50,000 times across 198 publications (h-index 88), according to Google Scholar.
Their most-cited work, “Phi-3 technical report: A highly capable language model locally on your phone, 2024” (2024), has accumulated 4,028 citations. Other influential works include “Cvt: Introducing convolutions to vision transformers” (2021) with 3,533 citations and “Grounded language-image pre-training” (2022) with 2,323 citations.
Citations of Lu Yuan's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
