Hao Su Google Scholar: h-index, Total Citations, and Citation Map
Hao Su's h-index is 89 (206 i10-index, 160,468+ total citations across 302+ publications) according to Google Scholar as of October 2026. Hao Su is affiliated with Professor of Computer Science, Fudan University.
Hao Su is a researcher affiliated with Professor of Computer Science, Fudan University, specializing in various fields. Their work has been cited 160,468 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Hao Su's Citation Metrics
Bibliometric impact based on 302 indexed publications.
- H-Index
- 89
- i10-Index
- 206
- Total Citations
- 160,468
- Citing Countries
- 70
As of October 2026.
Hao Su has an h-index of 89 and 160,468 total citations across 302 publications, with research cited by institutions in 70 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Hao Su's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Showing partial map from open academic databases
Upgrade ($39.98) for the complete Google Scholar crawl.
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.
ImageNet Large Scale Visual Recognition Challenge
201456,896
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 Hao Su's research
Hao Su is a researcher at Professor of Computer Science, Fudan University. Their work has been cited 160,468 times across 302 publications (h-index 89), according to Google Scholar.
Their most-cited work, “ImageNet Large Scale Visual Recognition Challenge” (2014), has accumulated 56,896 citations. Other influential works include “Pointnet: Deep learning on point sets for 3d classification and segmentation” (2017) with 26,297 citations and “Pointnet++: Deep hierarchical feature learning on point sets in a metric space” (2017) with 20,174 citations.
Citations of Hao Su'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.
