Online Object Tracking: A Benchmark
2013 • 7822 Citations
Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Ming-Hsuan Yang
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 172,325 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
0h-index
0i10-index
0Citations
0Works
0Countries
University of California at Merced; Google DeepMind•
Share:
Unlock Full Map — Elite tier (100K+ citations)
One-time payment. Full data, CSV export, and embed code.
Viewing Limited Data
Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.
Ming-Hsuan Yang's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 172,325
- Citing Countries
- 2
As of April 2026.
Ming-Hsuan Yang has an h-index of 1 and 172,325 total citations across 1 publication, with research cited by institutions in 2 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Marker
Color
Loading map
Top Citing Countries(Limited)
China(CN)
4Canada(CA)
1Top Citing Institutions(Limited)
Microsoft Research
7Nanjing University
4Krembil Research Institute
1Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 2 of 2 countries (5 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Davide Chicco
8.5Krembil Research Institute
Canada· Cited your work 1 time
IndependentTop institutionDiversifies geography - #2
Yutao Cui
5.0Nanjing University
China· Cited your work 1 time
Independent - #3
Cheng Jiang
5.0Nanjing University
China· Cited your work 1 time
Independent - #4
Limin Wang
5.0Nanjing University
China· Cited your work 1 time
Independent - #5
Gangshan Wu
5.0Nanjing University
China· Cited your work 1 time
Independent
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
5 / 5 independent
Citations flagged as non-independent share the scholar's home institution (University of California, Merced). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Davide Chicco
Methods in Molecular Biology· cites “Online Object Tracking: A Benchmark”
· cites “Online Object Tracking: A Benchmark”
Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang + 3 more
Foundations and Trends® in Computer Graphics and Vision· cites “Online Object Tracking: A Benchmark”
Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)· cites “Online Object Tracking: A Benchmark”
· cites “Online Object Tracking: A Benchmark”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Insufficient data
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
0 citations
'16
'18
'20
'22
'24
'26
Related Guides
Learn how to use citation maps for your research and visa applications.