Tinghui Zhou Google Scholar: h-index, Total Citations, and Citation Map
Tinghui Zhou's h-index is 20 (22 i10-index, 44,957+ total citations across 33+ publications) according to Google Scholar as of October 2026. Tinghui Zhou is affiliated with Roblox, Foundation AI.
Tinghui Zhou is a researcher affiliated with Roblox, Foundation AI, specializing in Computer Vision/Graphics, Machine Learning. Their work has been cited 44,957 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Tinghui Zhou's Citation Metrics
Bibliometric impact based on 33 indexed publications.
- H-Index
- 20
- i10-Index
- 22
- Total Citations
- 44,957
- Citing Countries
- 72
As of October 2026.
Tinghui Zhou has an h-index of 20 and 44,957 total citations across 33 publications, with research cited by institutions in 72 countries.
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Global Impact Map
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Image-to-image translation with conditional adversarial networks
201732,032
Top Citing Countries
Top Citing Institutions
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
764 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered conditional adversarial networks for image-to-image translation, establishing a foundational framework subsequently extended to complex temporal domains like human motion synthesis.
The researcher advanced computer vision by addressing dataset bias, establishing a foundational framework for mitigating such biases in visual recognition systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Tinghui Zhou's research
Tinghui Zhou is a researcher in Computer Vision/Graphics and Machine Learning at Roblox, Foundation AI. Their work has been cited 44,957 times across 33 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Image-to-image translation with conditional adversarial networks” (2017), has accumulated 32,032 citations. Other influential works include “Unsupervised learning of depth and ego-motion from video” (2017) with 3,876 citations and “Rethinking the value of network pruning” (2018) with 2,332 citations.
Citations of Tinghui Zhou's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
