Wanli Ouyang (欧阳万里): h-index, Total Citations, and Citation Map
Wanli Ouyang (欧阳万里)'s h-index is 125 (429 i10-index, 76,384+ total citations across 723+ publications) according to Google Scholar as of July 2026. Wanli Ouyang (欧阳万里) is affiliated with SLAI & CUHK & Shanghai AI Lab.
Wanli Ouyang (欧阳万里) is a researcher affiliated with SLAI & CUHK & Shanghai AI Lab, specializing in Computer vision, Pattern recognition, AI4Science. Their work has been cited 76,384 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Wanli Ouyang (欧阳万里)'s Citation Metrics
Bibliometric impact based on 723 indexed publications. Of these, 6 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 125
- i10-Index
- 429
- Total Citations
- 76,384
- Citing Countries
- 15
As of July 2026.
Wanli Ouyang (欧阳万里) has an h-index of 125 and 76,384 total citations across 723 publications, with research cited by institutions in 15 countries.
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MMDetection: Open mmlab detection toolbox and benchmark
20194,678
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Wanli Ouyang (欧阳万里)'s research
Wanli Ouyang (欧阳万里) is a researcher in Computer vision, Pattern recognition and AI4Science at SLAI & CUHK & Shanghai AI Lab. Their work has been cited 76,384 times across 723 publications (h-index 125), according to Google Scholar.
Their most-cited work, “MMDetection: Open mmlab detection toolbox and benchmark” (2019), has accumulated 4,678 citations. Other influential works include “Deep learning for generic object detection: A survey” (2020) with 4,176 citations and “Libra r-cnn: Towards balanced learning for object detection” (2019) with 2,251 citations.
Citations of Wanli Ouyang (欧阳万里)'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.











