Hao Tan: h-index, Total Citations, and Citation Map
Hao Tan's h-index is 32 (53 i10-index, 10,230+ total citations across 4+ publications) according to Google Scholar as of May 2026. Hao Tan is affiliated with Adobe Research.
Hao Tan is a researcher affiliated with Adobe Research, specializing in Long Context, 3D, Video. Their work has been cited 10,230 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Hao Tan's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 32
- i10-Index
- 53
- Total Citations
- 10,230
- Citing Countries
- 2
As of May 2026.
Hao Tan has an h-index of 32 and 10,230 total citations across 4 publications, with research cited by institutions in 2 countries.
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Top Cited Works
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LXMERT: Learning Cross-Modality Encoder Representations from Transformers
20193,680
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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.
The researcher advanced vision-language navigation by introducing back translation with environmental dropout, a method subsequently extended to evaluate CLIP's utility in broader vision-and-language tasks.
The researcher developed LXMERT, a cross-modality encoder framework that integrates visual and textual representations using transformer architectures, establishing a foundational approach for joint vision-language understanding.
The researcher proposed a unified text-generation framework for vision-and-language tasks, establishing a foundational approach that has garnered significant independent scholarly attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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