V Lee, V.C.S Lee, Cheng Siong Lee, Cheng S Lee, CS Lee
V Lee, V.C.S Lee, Cheng Siong Lee, Cheng S Lee, CS Lee is a researcher affiliated with Monash University, specializing in AI & Machine Learning. Their work has been cited 68,934 times. This profile visualizes their global influence, highlighting strong citation networks in GB.
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V Lee, V.C.S Lee, Cheng Siong Lee, Cheng S Lee, CS Lee's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 68,934
- Citing Countries
- 15
As of April 2026.
V Lee, V.C.S Lee, Cheng Siong Lee, Cheng S Lee, CS Lee has an h-index of 1 and 68,934 total citations across 1 publication, with research cited by institutions in 15 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Top Citing Countries(Limited)
Top Citing Institutions(Limited)
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.
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 14 of 15 countries (75 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
Michel W. Barsoum
7.0Drexel University
USA· Cited your work 2 times
IndependentMulti-cite - #2
Michael Naguib
7.0Drexel University
USA· Cited your work 2 times
IndependentMulti-cite - #3
Ian A. Kinloch
7.0University of Manchester
United Kingdom· Cited your work 1 time
IndependentTop institution - #4
Andrea C. Ferrari
7.0University of Cambridge
United Kingdom· Cited your work 1 time
IndependentTop institution - #5
Cees Dekker
7.0Delft University of Technology
Netherlands· Cited your work 1 time
IndependentTop institution - #6
Lieven Vandersypen
7.0Delft University of Technology
Netherlands· Cited your work 1 time
IndependentTop institution - #7
Alberto Bianco
8.5CNRS
France· Cited your work 1 time
IndependentTop institutionDiversifies geography - #8
Xinliang Feng
7.0Max Planck Institute for Polymer Research
Germany· Cited your work 1 time
IndependentTop institution - #9
Andras Kis
8.5EPFL
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography - #10
Jose A. Garrido
7.0Technische Universität München
Germany· 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
Citations flagged as non-independent share the scholar's home institution (The University of Texas at Austin). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Michael Naguib, Vadym N. Mochalin, Michel W. Barsoum, Yury Gogotsi
Advanced Materials· cites “Transfer of Large-Area Graphene Films for High-Performance Transparent Conductive Electrodes”
Andrea C. Ferrari, Francesco Bonaccorso, Vladimir I. Fal'ko, Konstantin S. Novoselov + 60 more
Nanoscale· cites “Transfer of Large-Area Graphene Films for High-Performance Transparent Conductive Electrodes”
· cites “Transfer of Large-Area Graphene Films for High-Performance Transparent Conductive Electrodes”
· cites “Transfer of Large-Area Graphene Films for High-Performance Transparent Conductive Electrodes”
Michael Naguib, Michel W. Barsoum, Yury Gogotsi, Olha Mashtalir + 4 more
ACS Nano· cites “Transfer of Large-Area Graphene Films for High-Performance Transparent Conductive Electrodes”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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