Dahua Lin: h-index, Total Citations, and Citation Map
Dahua Lin's h-index is 138 (408 i10-index, 101,404+ total citations across 583+ publications) according to Google Scholar as of September 2026. Dahua Lin is affiliated with The Chinese University of Hong Kong.
Dahua Lin is a researcher affiliated with The Chinese University of Hong Kong, specializing in computer vision, machine learning, probabilistic inference. Their work has been cited 101,404 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Dahua Lin's Citation Metrics
Bibliometric impact based on 583 indexed publications.
- H-Index
- 138
- i10-Index
- 408
- Total Citations
- 101,404
- Citing Countries
- 82
As of September 2026.
Dahua Lin has an h-index of 138 and 101,404 total citations across 583 publications, with research cited by institutions in 82 countries.
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Global Impact Map
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Spatial temporal graph convolutional networks for skeleton-based action recognition
20187,437
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
2073 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered spatial-temporal graph convolutional networks for skeleton-based action recognition, establishing a foundational framework that subsequent work refined for fine-grained understanding.
The researcher advanced instance segmentation and object detection through a hybrid task cascade framework and prime sample attention, establishing foundational methods widely adopted by independent scholars.
The researcher advanced open-source multimodal AI by establishing scalable performance boundaries and extending these methods to complex video spatial intelligence and object segmentation tasks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Dahua Lin's research
Dahua Lin is a researcher in computer vision, machine learning and probabilistic inference at The Chinese University of Hong Kong. Their work has been cited 101,404 times across 583 publications (h-index 138), according to Google Scholar.
Their most-cited work, “Spatial temporal graph convolutional networks for skeleton-based action recognition” (2018), has accumulated 7,437 citations. Other influential works include “Temporal segment networks: Towards good practices for deep action recognition” (2016) with 5,617 citations and “Unsupervised feature learning via non-parametric instance discrimination” (2018) with 5,489 citations.
Citations of Dahua Lin'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.
