Jun-Yan Zhu: h-index, Total Citations, and Citation Map
Jun-Yan Zhu's h-index is 64 (87 i10-index, 115,881+ total citations across 109+ publications) according to Google Scholar as of July 2026. Jun-Yan Zhu is affiliated with Assistant Professor, Carnegie Mellon University.
Jun-Yan Zhu is a researcher affiliated with Assistant Professor, Carnegie Mellon University, specializing in Generative Models, Computer Vision, Computer Graphics. Their work has been cited 115,881 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jun-Yan Zhu's Citation Metrics
Bibliometric impact based on 109 indexed publications.
- H-Index
- 64
- i10-Index
- 87
- Total Citations
- 115,881
- Citing Countries
- 17
As of July 2026.
Jun-Yan Zhu has an h-index of 64 and 115,881 total citations across 109 publications, with research cited by institutions in 17 countries.
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Unpaired image-to-image translation using cycle-consistent adversarial networks
201733,317
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jun-Yan Zhu's research
Jun-Yan Zhu is a researcher in Generative Models, Computer Vision and Computer Graphics at Assistant Professor, Carnegie Mellon University. Their work has been cited 115,881 times across 109 publications (h-index 64), according to Google Scholar.
Their most-cited work, “Unpaired image-to-image translation using cycle-consistent adversarial networks” (2017), has accumulated 33,317 citations. Other influential works include “Image-to-image translation with conditional adversarial networks” (2017) with 32,001 citations and “High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs” (2018) with 6,256 citations.
Citations of Jun-Yan Zhu's research come primarily from United States, China 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.
