Han Hu Google Scholar: h-index, Total Citations, and Citation Map
Han Hu's h-index is 53 (75 i10-index, 91,200+ total citations across 85+ publications) according to Google Scholar as of October 2026. Han Hu is affiliated with Tencent Hunyuan.
Han Hu is a researcher affiliated with Tencent Hunyuan, specializing in various fields. Their work has been cited 91,200 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Han Hu's Citation Metrics
Bibliometric impact based on 85 indexed publications.
- H-Index
- 53
- i10-Index
- 75
- Total Citations
- 91,200
- Citing Countries
- 72
As of October 2026.
Han Hu has an h-index of 53 and 91,200 total citations across 85 publications, with research cited by institutions in 72 countries.
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Global Impact Map
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Swin transformer: Hierarchical vision transformer using shifted windows
202148,815
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.
12 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced video representation learning by extending disentangled non-local neural networks to the highly cited Video Swin Transformer architecture.
The researcher advanced semi-supervised object detection and vision transformers, establishing foundational methods that achieved widespread independent adoption across the computer vision community.
The researcher advanced point cloud analysis by refining local aggregation operators and extending these foundations to group-free 3D object detection via transformers.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Han Hu's research
Han Hu is a researcher at Tencent Hunyuan. Their work has been cited 91,200 times across 85 publications (h-index 53), according to Google Scholar.
Their most-cited work, “Swin transformer: Hierarchical vision transformer using shifted windows” (2021), has accumulated 48,815 citations. Other influential works include “Deformable convolutional networks” (2017) with 9,446 citations and “Swin transformer v2: Scaling up capacity and resolution” (2022) with 3,999 citations.
Citations of Han Hu's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
