Zhengqi Li: h-index, Total Citations, and Citation Map
Zhengqi Li's h-index is 24 (29 i10-index, 6,165+ total citations across 49+ publications) according to Google Scholar as of May 2026. Zhengqi Li is affiliated with Google DeepMind.
Zhengqi Li is a researcher affiliated with Google DeepMind, specializing in various fields. Their work has been cited 6,165 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Zhengqi Li's Citation Metrics
Bibliometric impact based on 49 indexed publications.
- H-Index
- 24
- i10-Index
- 29
- Total Citations
- 6,165
- Citing Countries
- 23
As of May 2026.
Zhengqi Li has an h-index of 24 and 6,165 total citations across 49 publications, with research cited by institutions in 23 countries.
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Top Cited Works
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MegaDepth: Learning Single-View Depth Prediction from Internet Photos
20181,730
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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.
The researcher pioneered neural methods for dynamic scene understanding, establishing a foundational framework for synthesizing and rendering moving subjects from static observations.
The researcher advanced single-view depth prediction by leveraging large-scale internet photo data, establishing a foundational approach widely adopted by independent computer vision researchers.
The researcher advanced computer vision by publishing a seminal 2023 ICCV paper on comprehensive object tracking, establishing a foundational approach widely adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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