Ying Shan Google Scholar: h-index, Total Citations, and Citation Map
Ying Shan's h-index is 94 (279 i10-index, 40,494+ total citations across 429+ publications) according to Google Scholar as of October 2026. Ying Shan is affiliated with Tencent.
Ying Shan is a researcher affiliated with Tencent, specializing in Deep learning, computer vision, machine learning. Their work has been cited 40,494 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ying Shan's Citation Metrics
Bibliometric impact based on 429 indexed publications.
- H-Index
- 94
- i10-Index
- 279
- Total Citations
- 40,494
- Citing Countries
- 67
As of October 2026.
Ying Shan has an h-index of 94 and 40,494 total citations across 429 publications, with research cited by institutions in 67 countries.
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Real-esrgan: Training real-world blind super-resolution with pure synthetic data
20212,781
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Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ying Shan's research
Ying Shan is a researcher in Deep learning, computer vision and machine learning at Tencent. Their work has been cited 40,494 times across 429 publications (h-index 94), according to Google Scholar.
Their most-cited work, “Real-esrgan: Training real-world blind super-resolution with pure synthetic data” (2021), has accumulated 2,781 citations. Other influential works include “T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models” (2024) with 2,043 citations and “SEED-Bench: Benchmarking Multimodal Large Language Models” (2024) with 1,551 citations.
Citations of Ying Shan'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.
