Ziwei Liu Google Scholar: h-index, Total Citations, and Citation Map
Ziwei Liu's h-index is 130 (362 i10-index, 110,378+ total citations across 457+ publications) according to Google Scholar as of October 2026. Ziwei Liu is affiliated with Associate Professor, Nanyang Technological University.
Ziwei Liu is a researcher affiliated with Associate Professor, Nanyang Technological University, specializing in Computer Vision, Machine Learning, Computer Graphics. Their work has been cited 110,378 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ziwei Liu's Citation Metrics
Bibliometric impact based on 457 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 130
- i10-Index
- 362
- Total Citations
- 110,378
- Citing Countries
- 83
As of October 2026.
Ziwei Liu has an h-index of 130 and 110,378 total citations across 457 publications, with research cited by institutions in 83 countries.
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Global Impact Map
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Deep Learning Face Attributes in the Wild
201513,399
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.
1488 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered conditional prompt learning for vision-language models, establishing a foundational framework that has been widely adopted and extended in subsequent multi-modal and segmentation research.
The researcher pioneered deep parsing networks for semantic image segmentation, establishing a foundational framework that enabled subsequent high-impact advances in content-aware feature assembly and diverse facial image manipulation.
The researcher pioneered high-resolution 3D content creation via Large Multi-View Gaussian Models, subsequently extending this framework to efficient feed-forward 4D generative modeling and dynamic scene reconstruction.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ziwei Liu's research
Ziwei Liu is a researcher in Computer Vision, Machine Learning and Computer Graphics at Associate Professor, Nanyang Technological University. Their work has been cited 110,378 times across 457 publications (h-index 130), according to Google Scholar.
Their most-cited work, “Deep Learning Face Attributes in the Wild” (2015), has accumulated 13,399 citations. Other influential works include “Deep Learning Face Attributes in the Wild” (2015) with 13,395 citations and “Dynamic Graph CNN for Learning on Point Clouds” (2019) with 9,901 citations.
Citations of Ziwei Liu's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
