Liang Zheng: h-index, Total Citations, and Citation Map
Liang Zheng's h-index is 65 (108 i10-index, 49,287+ total citations across 127+ publications) according to Google Scholar as of July 2026. Liang Zheng is affiliated with ANU | Canva.
Liang Zheng is a researcher affiliated with ANU | Canva, specializing in Computer Vision, Representation Learning, Object Re-identification. Their work has been cited 49,287 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Liang Zheng's Citation Metrics
Bibliometric impact based on 127 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 65
- i10-Index
- 108
- Total Citations
- 49,287
- Citing Countries
- 15
As of July 2026.
Liang Zheng has an h-index of 65 and 49,287 total citations across 127 publications, with research cited by institutions in 15 countries.
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Global Impact Map
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Scalable person re-identification: A benchmark
20156,354
Top Citing Countries
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Liang Zheng's research
Liang Zheng is a researcher in Computer Vision, Representation Learning and Object Re-identification at ANU | Canva. Their work has been cited 49,287 times across 127 publications (h-index 65), according to Google Scholar.
Their most-cited work, “Scalable person re-identification: A benchmark” (2015), has accumulated 6,354 citations. Other influential works include “Random erasing data augmentation” (2020) with 5,542 citations and “Beyond part models: person retrieval with refined part pooling (and a strong convolutional baseline)” (2018) with 3,438 citations.
Citations of Liang Zheng's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
