Justin Johnson Google Scholar: h-index, Total Citations, and Citation Map
Justin Johnson's h-index is 43 (59 i10-index, 48,109+ total citations across 73+ publications) according to Google Scholar as of October 2026. Justin Johnson is affiliated with Cofounder, World Labs.
Justin Johnson is a researcher affiliated with Cofounder, World Labs, specializing in various fields. Their work has been cited 48,109 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Justin Johnson's Citation Metrics
Bibliometric impact based on 73 indexed publications.
- H-Index
- 43
- i10-Index
- 59
- Total Citations
- 48,109
- Citing Countries
- 63
As of October 2026.
Justin Johnson has an h-index of 43 and 48,109 total citations across 73 publications, with research cited by institutions in 63 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Perceptual losses for real-time style transfer and super-resolution
201615,080
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.
18 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced 3D computer vision by introducing mesh-based instance segmentation and developing foundational tools that accelerated deep learning for 3D reconstruction and analysis.
The researcher pioneered accessible, community-curated multimodal data and scalable 3D captioning methods, establishing foundational tools for text-to-3D generation and scene understanding.
The researcher pioneered the integration of scene graphs into image retrieval systems, establishing a foundational framework for structuring visual data that subsequent work expanded into large-scale multimodal datasets.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Justin Johnson's research
Justin Johnson is a researcher at Cofounder, World Labs. Their work has been cited 48,109 times across 73 publications (h-index 43), according to Google Scholar.
Their most-cited work, “Perceptual losses for real-time style transfer and super-resolution” (2016), has accumulated 15,080 citations. Other influential works include “Visual genome: Connecting language and vision using crowdsourced dense image annotations” (2017) with 7,808 citations and “CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning” (2017) with 3,572 citations.
Citations of Justin Johnson'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.
