Inductive Representation Learning on Large Graphs
2017 • 26097 Citations
Published in Advances in Neural Information Processing Systems 30 (NeurIPS 2017)
Jure Leskovec
Jure Leskovec is a researcher affiliated with Professor of Computer Science, Stanford University, specializing in AI & Machine Learning. Their work has been cited 240,450 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
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0i10-index
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Professor of Computer Science, Stanford University•
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Jure Leskovec's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 240,450
- Citing Countries
- 4
As of April 2026.
Jure Leskovec has an h-index of 1 and 240,450 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
China(CN)
13United States(US)
8United States(US)
5Canada(CA)
2Top Citing Institutions(Limited)
Peking University
8Cornell University
2Massachusetts Institute of Technology
2Université de Montréal
2Harvard Medical School
2Zhejiang University
2Ant Group
2Stanford University
1Renmin University of China
1Brown University
1Visa 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 4 of 4 countries (28 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
Boci Peng
7.0Peking University
China· Cited your work 1 time
IndependentTop institution - #2
Yan Zhang
7.0Peking University
China· Cited your work 1 time
IndependentTop institution - #3
Ziming Liu
8.5Massachusetts Institute of Technology
United States· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Yuanqi Du
8.5Cornell University
United States· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Peter Van Katwyk
8.5Harvard Medical School
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
Yang Song
8.5OpenAI
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #7
Andreea Deac
6.5Université de Montréal
Canada· Cited your work 1 time
IndependentDiversifies geography - #8
Shengchao Liu
6.5Université de Montréal
Canada· Cited your work 1 time
IndependentDiversifies geography - #9
Zhilong Zhang
7.0Peking University
China· Cited your work 1 time
IndependentTop institution - #10
Yingxia Shao
7.0Peking 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
4 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Stanford University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
- Scientific discovery in the age of artificial intelligenceSame institution
Ziming Liu, Tianfan Fu, Yuanqi Du, Wenhao Gao + 9 more
Nature· cites “Inductive Representation Learning on Large Graphs”
· cites “Inductive Representation Learning on Large Graphs”
Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo + 4 more
ACM Transactions on Information Systems (TOIS)· cites “Inductive Representation Learning on Large Graphs”
Ling Yang, Wentao Zhang, Bin Cui, Zhilong Zhang + 6 more
ACM Computing Surveys (ACM CSUR)· cites “Inductive Representation Learning on Large Graphs”
· cites “Inductive Representation Learning on Large Graphs”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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