Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
2017 • 31853 Citations
Published in 2017 IEEE International Conference on Computer Vision (ICCV)
Taesung Park
Taesung Park is a researcher affiliated with Adobe Research, specializing in AI & Machine Learning. Their work has been cited 46,712 times. This profile visualizes their global influence, spanning a global audience.
AI & Machine Learning
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Taesung Park's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 46,712
- Citing Countries
- 0
As of April 2026.
Taesung Park has an h-index of 1 and 46,712 total citations across 1 publication, with research cited by institutions in 0 countries.
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Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Berkeley). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
· cites “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”
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