Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2017 • 19060 Citations
Published in 34th International Conference on Machine Learning (ICML 2017)
Sergey Levine
Sergey Levine is a researcher affiliated with UC Berkeley, Physical Intelligence, specializing in AI & Machine Learning. Their work has been cited 238,861 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
Unlock Full Map — Elite tier (100K+ citations)
One-time payment. Full data, CSV export, and embed code.
Viewing Limited Data
Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.
Sergey Levine's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 238,861
- Citing Countries
- 1
As of April 2026.
Sergey Levine has an h-index of 1 and 238,861 total citations across 1 publication, with research cited by institutions in 1 country.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Marker
Color
Loading map
Top Citing Countries(Limited)
China(CN)
30Top Citing Institutions(Limited)
Fudan University
30Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 1 of 1 countries (30 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Zhiheng Xi
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #2
Wenxiang Chen
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #3
Xin Guo
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #4
Wei He
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #5
Yiwen Ding
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #6
Boyang Hong
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #7
Ming Zhang
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #8
Junzhe Wang
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #9
Senjie Jin
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution - #10
Enyu Zhou
7.0Fudan University
China· Cited your work 1 time
IndependentTop institution
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Berkeley). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He + 26 more
Science China Information Sciences· cites “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks”
· cites “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks”
· cites “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks”
· cites “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks”
· cites “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Insufficient data
0 citations
19,060 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
'16
'18
'20
'22
'24
'26
Related Guides
Learn how to use citation maps for your research and visa applications.