Kai Zhang Google Scholar: h-index, Total Citations, and Citation Map
Kai Zhang's h-index is 50 (71 i10-index, 45,665+ total citations across 95+ publications) according to Google Scholar as of October 2026. Kai Zhang is affiliated with Associate Professor, Nanjing University (Suzhou).
Kai Zhang is a researcher affiliated with Associate Professor, Nanjing University (Suzhou), specializing in Image Restoration, Inverse Problems, Computational Imaging. Their work has been cited 45,665 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Kai Zhang's Citation Metrics
Bibliometric impact based on 95 indexed publications.
- H-Index
- 50
- i10-Index
- 71
- Total Citations
- 45,665
- Citing Countries
- 25
As of October 2026.
Kai Zhang has an h-index of 50 and 45,665 total citations across 95 publications, with research cited by institutions in 25 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Kai Zhang's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
201711,628
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Kai Zhang's research
Kai Zhang is a researcher in Image Restoration, Inverse Problems and Computational Imaging at Associate Professor, Nanjing University (Suzhou). Their work has been cited 45,665 times across 95 publications (h-index 50), according to Google Scholar.
Their most-cited work, “Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising” (2017), has accumulated 11,628 citations. Other influential works include “SwinIR: Image Restoration using Swin Transformer” (2021) with 6,943 citations and “FFDNet: Toward a fast and flexible solution for CNN based image denoising” (2018) with 3,578 citations.
Citations of Kai Zhang's research come primarily from China, United States and Switzerland, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
