Xiaolong Wang Google Scholar: h-index, Total Citations, and Citation Map
Xiaolong Wang's h-index is 84 (168 i10-index, 49,637+ total citations across 199+ publications) according to Google Scholar as of October 2026. Xiaolong Wang is affiliated with UC San Diego.
Xiaolong Wang is a researcher affiliated with UC San Diego, specializing in computer vision, machine learning, robotics. Their work has been cited 49,637 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Xiaolong Wang's Citation Metrics
Bibliometric impact based on 199 indexed publications.
- H-Index
- 84
- i10-Index
- 168
- Total Citations
- 49,637
- Citing Countries
- 78
As of October 2026.
Xiaolong Wang has an h-index of 84 and 49,637 total citations across 199 publications, with research cited by institutions in 78 countries.
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Global Impact Map
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Non-local Neural Networks
201814,598
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.
1183 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered unsupervised visual representation learning from video, establishing a foundational framework for temporal correspondence and object detection that has been widely adopted by the independent computer vision community.
The researcher pioneered deep learning approaches for surface normal estimation and generative image modeling, establishing foundational methods widely adopted by the independent computer vision community.
The researcher developed a framework integrating temporal difference learning with model predictive control, subsequently advancing it to scalable, robust world models for continuous control.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Xiaolong Wang's research
Xiaolong Wang is a researcher in computer vision, machine learning and robotics at UC San Diego. Their work has been cited 49,637 times across 199 publications (h-index 84), according to Google Scholar.
Their most-cited work, “Non-local Neural Networks” (2018), has accumulated 14,598 citations. Other influential works include “Open x-embodiment: Robotic learning datasets and rt-x models” (2024) with 2,493 citations and “Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding” (2016) with 1,811 citations.
Citations of Xiaolong 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.
