Ming-Hsuan Yang: h-index, Total Citations, and Citation Map
Ming-Hsuan Yang's h-index is 145 (517 i10-index, 184,380+ total citations across 1,000+ publications) according to Google Scholar as of September 2026. Ming-Hsuan Yang is affiliated with University of California at Merced; Google DeepMind.
Ming-Hsuan Yang is a researcher affiliated with University of California at Merced; Google DeepMind, specializing in AI & Machine Learning. Their work has been cited 184,380 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ming-Hsuan Yang's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 145
- i10-Index
- 517
- Total Citations
- 184,380
- Citing Countries
- 95
As of September 2026.
Ming-Hsuan Yang has an h-index of 145 and 184,380 total citations across 1000 publications, with research cited by institutions in 95 countries.
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.
Online Object Tracking: A Benchmark
20137,822
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 Ming-Hsuan Yang's research
Ming-Hsuan Yang is a researcher in AI & Machine Learning at University of California at Merced; Google DeepMind. Their work has been cited 184,380 times across 1,000 publications (h-index 145), according to Google Scholar.
Their most-cited work, “Online Object Tracking: A Benchmark” (2013), has accumulated 7,822 citations. Other influential works include “Object Tracking Benchmark” (2015) with 3,439 citations and “Res2Net: A New Multi-Scale Backbone Architecture” (2019) with 3,252 citations.
Citations of Ming-Hsuan Yang'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.
