Jia-Bin Huang Google Scholar: h-index, Total Citations, and Citation Map
Jia-Bin Huang's h-index is 71 (144 i10-index, 37,211+ total citations across 289+ publications) according to Google Scholar as of September 2026. Jia-Bin Huang is affiliated with Capital One Associate Professor at University of Maryland.
Jia-Bin Huang is a researcher affiliated with Capital One Associate Professor at University of Maryland, specializing in various fields. Their work has been cited 37,211 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jia-Bin Huang's Citation Metrics
Bibliometric impact based on 289 indexed publications.
- H-Index
- 71
- i10-Index
- 144
- Total Citations
- 37,211
- Citing Countries
- 65
As of September 2026.
Jia-Bin Huang has an h-index of 71 and 37,211 total citations across 289 publications, with research cited by institutions in 65 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Jia-Bin Huang'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.
Single Image Super-Resolution from Transformed Self-Exemplars
20154,674
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 Jia-Bin Huang's research
Jia-Bin Huang is a researcher at Capital One Associate Professor at University of Maryland. Their work has been cited 37,211 times across 289 publications (h-index 71), according to Google Scholar.
Their most-cited work, “Single Image Super-Resolution from Transformed Self-Exemplars” (2015), has accumulated 4,674 citations. Other influential works include “Deep laplacian pyramid networks for fast and accurate super-resolution” (2017) with 3,836 citations and “A closer look at few-shot classification” (2019) with 2,751 citations.
Citations of Jia-Bin Huang'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.
