Sungmin Lee: h-index, Total Citations, and Citation Map
Sungmin Lee's h-index is 17 (22 i10-index, 932+ total citations across 5+ publications) according to Google Scholar as of June 2026. Sungmin Lee is affiliated with Qunova computing Inc..
Sungmin Lee is a researcher affiliated with Qunova computing Inc., specializing in In-silico drug discovery. Their work has been cited 932 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sungmin Lee's Citation Metrics
Bibliometric impact based on 5 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 17
- i10-Index
- 22
- Total Citations
- 932
- Citing Countries
- 21
As of June 2026.
Sungmin Lee has an h-index of 17 and 932 total citations across 5 publications, with research cited by institutions in 21 countries.
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Global Impact Map
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Exploiting temporal network structures of human interaction to effectively immunize populations
2012144
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.
The researcher developed methods to exploit temporal network structures of human interaction for effective population immunization, as demonstrated in a seminal 2012 PLoS ONE paper.
The researcher advanced the theoretical understanding of multiadaptive games by identifying emergent hierarchical structures, a contribution validated by independent scholarly uptake.
The researcher developed a centrality measure for complex networks using biased random walks, establishing a distinct methodological approach to network analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Sungmin Lee's research
Sungmin Lee is a researcher in In-silico drug discovery at Qunova computing Inc.. Their work has been cited 932 times across 5 publications (h-index 17), according to Google Scholar.
Their most-cited work, “Exploiting temporal network structures of human interaction to effectively immunize populations” (2012), has accumulated 144 citations. Other influential works include “Emergent hierarchical structures in multiadaptive games” (2011) with 131 citations and “Correlation and network topologies in global and local stock indices” (2014) with 124 citations.
Citations of Sungmin Lee's research come primarily from United States, United Kingdom and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
