Eu-Jin Goh: h-index, Total Citations, and Citation Map
Eu-Jin Goh's h-index is 14 (15 i10-index, 9,377+ total citations across 5+ publications) according to Google Scholar as of May 2026. Eu-Jin Goh is affiliated with Unknown affiliation.
Eu-Jin Goh is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 9,377 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Eu-Jin Goh's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 14
- i10-Index
- 15
- Total Citations
- 9,377
- Citing Countries
- 9
As of May 2026.
Eu-Jin Goh has an h-index of 14 and 9,377 total citations across 5 publications, with research cited by institutions in 9 countries.
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Top Cited Works
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Evaluating 2-DNF formulas on ciphertexts
20052,522
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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 established foundational methods for secure indexes, a seminal contribution that has been widely adopted by independent scholars across the field.
The researcher developed SiRiUS, a seminal framework for securing remote untrusted storage, establishing a foundational approach to data integrity in cloud environments.
The researcher advanced homomorphic encryption by demonstrating the evaluation of 2-DNF formulas on ciphertexts, a foundational contribution to secure computation.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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