Yunqi Zhang: h-index, Total Citations, and Citation Map
Yunqi Zhang's h-index is 3 (2 i10-index, 50+ total citations across 10+ publications) according to Google Scholar as of May 2026. Yunqi Zhang is affiliated with The Ohio State University.
Yunqi Zhang is a researcher affiliated with The Ohio State University, specializing in distributed systems, financial technologies. Their work has been cited 50 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Yunqi Zhang's Citation Metrics
Bibliometric impact based on 10 indexed publications.
- H-Index
- 3
- i10-Index
- 2
- Total Citations
- 50
- Citing Countries
- 10
As of May 2026.
Yunqi Zhang has an h-index of 3 and 50 total citations across 10 publications, with research cited by institutions in 10 countries.
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Global Impact Map
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Top Cited Works
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Kadabra: Adapting Kademlia for the Decentralized Web
202321
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.
24 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed adaptive decentralized web protocols, starting with Kadabra and extending to Byzantine-tolerant peer sampling and federated agreement overlays.
The researcher developed acoustic and WLAN-based methods for privacy-preserving contact tracing and superspreader detection during the pandemic.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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