Boqing Gong: h-index, Total Citations, and Citation Map
Boqing Gong's h-index is 63 (109 i10-index, 28,392+ total citations across 168+ publications) according to Google Scholar as of August 2026. Boqing Gong is affiliated with Boston University, Google.
Boqing Gong is a researcher affiliated with Boston University, Google, specializing in Machine Learning, Computer Vision. Their work has been cited 28,392 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Boqing Gong's Citation Metrics
Bibliometric impact based on 168 indexed publications.
- H-Index
- 63
- i10-Index
- 109
- Total Citations
- 28,392
- Citing Countries
- 61
As of August 2026.
Boqing Gong has an h-index of 63 and 28,392 total citations across 168 publications, with research cited by institutions in 61 countries.
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Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
20254,042
Top Citing Countries
Top Citing Institutions
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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.
34 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered attribute-based domain generalization, establishing a foundational framework that subsequent work extended to address long-tailed recognition and cross-domain semantic segmentation challenges.
The researcher pioneered query-focused extractive video summarization, establishing a foundational framework and evaluation benchmark that significantly advanced automated video content analysis.
The researcher introduced a geodesic flow kernel method for unsupervised domain adaptation, establishing a foundational approach that has been widely adopted by the independent research community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Boqing Gong's research
Boqing Gong is a researcher in Machine Learning and Computer Vision at Boston University, Google. Their work has been cited 28,392 times across 168 publications (h-index 63), according to Google Scholar.
Their most-cited work, “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025), has accumulated 4,042 citations. Other influential works include “Geodesic Flow Kernel for Unsupervised Domain Adaptation” (2012) with 3,190 citations and “Large-scale long-tailed recognition in an open world” (2019) with 1,843 citations.
Citations of Boqing Gong's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
