Junkun Yuan: h-index, Total Citations, and Citation Map
Junkun Yuan's h-index is 20 (23 i10-index, 2,234+ total citations across 31+ publications) according to Google Scholar as of June 2026. Junkun Yuan is affiliated with Research Scientist, ByteDance.
Junkun Yuan is a researcher affiliated with Research Scientist, ByteDance, specializing in Computer Vision, Machine Learning. Their work has been cited 2,234 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Junkun Yuan's Citation Metrics
Bibliometric impact based on 31 indexed publications.
- H-Index
- 20
- i10-Index
- 23
- Total Citations
- 2,234
- Citing Countries
- 56
As of June 2026.
Junkun Yuan has an h-index of 20 and 2,234 total citations across 31 publications, with research cited by institutions in 56 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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HunyuanVideo: A Systematic Framework For Large Video Generative Models
20241,100
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.
368 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Junkun Yuan's research
Junkun Yuan is a researcher in Computer Vision and Machine Learning at Research Scientist, ByteDance. Their work has been cited 2,234 times across 31 publications (h-index 20), according to Google Scholar.
Their most-cited work, “HunyuanVideo: A Systematic Framework For Large Video Generative Models” (2024), has accumulated 1,100 citations. Other influential works include “HunyuanVideo: A Systematic Framework For Large Video Generative Models” (2024) with 1,100 citations and “Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation” (2024) with 175 citations.
Citations of Junkun Yuan'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.
