Jiayi Chen: h-index, Total Citations, and Citation Map
Jiayi Chen's h-index is 6 (5 i10-index, 389+ total citations across 14+ publications) according to Google Scholar as of May 2026. Jiayi Chen is affiliated with University of Virginia & Apple Inc..
Jiayi Chen is a researcher affiliated with University of Virginia & Apple Inc., specializing in Multimodal Machine Learning, Personalized Learning, Privacy-preserving Learning. Their work has been cited 389 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jiayi Chen's Citation Metrics
Bibliometric impact based on 14 indexed publications.
- H-Index
- 6
- i10-Index
- 5
- Total Citations
- 389
- Citing Countries
- 9
As of May 2026.
Jiayi Chen has an h-index of 6 and 389 total citations across 14 publications, with research cited by institutions in 9 countries.
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Top Cited Works
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FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks
2022148
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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.
213 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a foundational framework for heterogeneous graph-based multimodal fusion handling data incompleteness, subsequently extending this approach to federated learning contexts with high independent adoption.
The researcher developed FedMBridge, a framework enabling bridgeable multimodal federated learning, addressing integration challenges in distributed heterogeneous data environments.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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