Alan Yuille Google Scholar: h-index, Total Citations, and Citation Map
Alan Yuille's h-index is 232 (1299 i10-index, 160,539+ total citations across 1,000+ publications) according to Google Scholar as of November 2026. Alan Yuille is affiliated with Johns Hopkins University.
Alan Yuille is a researcher affiliated with Johns Hopkins University, specializing in Computer Vision, Computational Models of Mind and Brain, Machine Learning. Their work has been cited 160,539 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Alan Yuille's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 232
- i10-Index
- 1299
- Total Citations
- 160,539
- Citing Countries
- 94
As of November 2026.
Alan Yuille has an h-index of 232 and 160,539 total citations across 1000 publications, with research cited by institutions in 94 countries.
Global Impact Map
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
201731,290
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.
1812 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational strategies for annotating abdominal CT data for deep learning, enabling subsequent advancements in early pancreatic cancer detection and report-driven segmentation.
The researcher pioneered the use of synthetic tumors to enhance AI segmentation accuracy, establishing a foundational framework that subsequent work expanded through anatomy-aware diffusion and scalable data strategies.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Alan Yuille's research
Alan Yuille is a researcher in Computer Vision, Computational Models of Mind and Brain and Machine Learning at Johns Hopkins University. Their work has been cited 160,539 times across 1,000 publications (h-index 232), according to Google Scholar.
Their most-cited work, “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs” (2017), has accumulated 31,290 citations. Other influential work includes “Transunet: Transformers make strong encoders for medical image segmentation” (2021) with 10,000 citations.
Citations of Alan Yuille'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.
