Feng Li: h-index, Total Citations, and Citation Map
Feng Li's h-index is 32 (37 i10-index, 26,430+ total citations across 39+ publications) according to Google Scholar as of July 2026. Feng Li is affiliated with Research Scientist, Google DeepMind.
Feng Li is a researcher affiliated with Research Scientist, Google DeepMind, specializing in Computer Vision, Multi-modality. Their work has been cited 26,430 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Feng Li's Citation Metrics
Bibliometric impact based on 39 indexed publications.
- H-Index
- 32
- i10-Index
- 37
- Total Citations
- 26,430
- Citing Countries
- 21
As of July 2026.
Feng Li has an h-index of 32 and 26,430 total citations across 39 publications, with research cited by institutions in 21 countries.
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Global Impact Map
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Grounding dino: Marrying dino with grounded pre-training for open-set object detection
20235,559
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Feng Li's research
Feng Li is a researcher in Computer Vision and Multi-modality at Research Scientist, Google DeepMind. Their work has been cited 26,430 times across 39 publications (h-index 32), according to Google Scholar.
Their most-cited work, “Grounding dino: Marrying dino with grounded pre-training for open-set object detection” (2023), has accumulated 5,559 citations. Other influential works include “DINO: Detr with improved denoising anchor boxes for end-to-end object detection” (2022) with 4,266 citations and “LLaVA-OneVision: Easy Visual Task Transfer” (2024) with 2,966 citations.
Citations of Feng Li's research come primarily from China, United States and Hong Kong, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
