Oliver Wang Google Scholar: h-index, Total Citations, and Citation Map
Oliver Wang's h-index is 62 (128 i10-index, 58,122+ total citations across 221+ publications) according to Google Scholar as of October 2026. Oliver Wang is affiliated with Google DeepMind.
Oliver Wang is a researcher affiliated with Google DeepMind, specializing in Computer Vision, Machine Learning, Image Processing. Their work has been cited 58,122 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Oliver Wang's Citation Metrics
Bibliometric impact based on 221 indexed publications.
- H-Index
- 62
- i10-Index
- 128
- Total Citations
- 58,122
- Citing Countries
- 32
As of October 2026.
Oliver Wang has an h-index of 62 and 58,122 total citations across 221 publications, with research cited by institutions in 32 countries.
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Global Impact Map
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
201823,189
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.
The researcher established deep neural network features as a robust perceptual metric, fundamentally shifting how image similarity is quantified in computer vision.
The researcher advanced multimodal image-to-image translation, establishing a foundational framework for generating diverse outputs from single inputs, as evidenced by a seminal NIPS 2017 paper with over 2,000 citations.
The researcher established a foundational benchmark for detecting CNN-generated images, demonstrating their initial detectability while highlighting the transient nature of such vulnerabilities in computer vision security.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Oliver Wang's research
Oliver Wang is a researcher in Computer Vision, Machine Learning and Image Processing at Google DeepMind. Their work has been cited 58,122 times across 221 publications (h-index 62), according to Google Scholar.
Their most-cited work, “The Unreasonable Effectiveness of Deep Features as a Perceptual Metric” (2018), has accumulated 23,189 citations. Other influential works include “Gemini: A Family of Highly Capable Multimodal Models” (2023) with 8,963 citations and “Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities” (2025) with 2,802 citations.
Citations of Oliver Wang'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.
