Yuandong Tian: h-index, Total Citations, and Citation Map
Yuandong Tian's h-index is 20 (20 i10-index, 26,104+ total citations across 20+ publications) according to Google Scholar as of July 2026. Yuandong Tian is affiliated with Co-founder, Recursive Superintelligence Inc.
Yuandong Tian is a researcher affiliated with Co-founder, Recursive Superintelligence Inc, specializing in various fields. Their work has been cited 26,104 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yuandong Tian's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 26,104
- Citing Countries
- 51
As of July 2026.
Yuandong Tian has an h-index of 20 and 26,104 total citations across 20 publications, with research cited by institutions in 51 countries.
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Global Impact Map
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Understanding Dimensional Collapse in Contrastive Self-supervised Learning
2021465
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.
4 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher identified and analyzed dimensional collapse in contrastive self-supervised learning, providing a foundational theoretical framework that has been widely adopted by the independent research community.
The researcher developed a sample-efficient neural architecture search method by learning actions for Monte Carlo Tree Search, significantly reducing computational costs in automated model design.
The researcher developed FP-NAS, a fast probabilistic approach to neural architecture search, establishing a foundational method for efficient automated model design.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yuandong Tian's research
Yuandong Tian is a researcher at Co-founder, Recursive Superintelligence Inc. Their work has been cited 26,104 times across 20 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Understanding Dimensional Collapse in Contrastive Self-supervised Learning” (2021), has accumulated 465 citations. Other influential works include “Network planning with deep reinforcement learning” (2021) with 128 citations and “CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research” (2021) with 112 citations.
Citations of Yuandong Tian'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.
