Jiashi Feng Google Scholar: h-index, Total Citations, and Citation Map
Jiashi Feng's h-index is 147 (387 i10-index, 97,263+ total citations across 404+ publications) according to Google Scholar as of October 2026. Jiashi Feng is affiliated with ByteDance Inc..
Jiashi Feng is a researcher affiliated with ByteDance Inc., specializing in computer vision, machine learning. Their work has been cited 97,263 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jiashi Feng's Citation Metrics
Bibliometric impact based on 404 indexed publications.
- H-Index
- 147
- i10-Index
- 387
- Total Citations
- 97,263
- Citing Countries
- 71
As of October 2026.
Jiashi Feng has an h-index of 147 and 97,263 total citations across 404 publications, with research cited by institutions in 71 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jiashi Feng'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.
Coordinate attention for efficient mobile network design
20218,495
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 Jiashi Feng's research
Jiashi Feng is a researcher in computer vision and machine learning at ByteDance Inc.. Their work has been cited 97,263 times across 404 publications (h-index 147), according to Google Scholar.
Their most-cited work, “Coordinate attention for efficient mobile network design” (2021), has accumulated 8,495 citations. Other influential works include “Tokens-to-token vit: Training vision transformers from scratch on imagenet” (2021) with 3,472 citations and “Depth anything v2” (2024) with 2,851 citations.
Citations of Jiashi Feng'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.
