Xiaoyu Deng: h-index, Total Citations, and Citation Map
Xiaoyu Deng's h-index is 4 (2 i10-index, 82+ total citations across 6+ publications) according to Google Scholar as of June 2026. Xiaoyu Deng is affiliated with Fordham University.
Xiaoyu Deng is a researcher affiliated with Fordham University, specializing in CV, ML, DL. Their work has been cited 82 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Xiaoyu Deng's Citation Metrics
Bibliometric impact based on 6 indexed publications.
- H-Index
- 4
- i10-Index
- 2
- Total Citations
- 82
- Citing Countries
- 10
As of June 2026.
Xiaoyu Deng has an h-index of 4 and 82 total citations across 6 publications, with research cited by institutions in 10 countries.
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Global Impact Map
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Top Cited Works
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Optimizing automated picking systems in warehouse robots using machine learning
202449
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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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
38 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a layer-wise progressive relation framework for object detection, subsequently extending these architectural insights to causality-aware temporal projection in video understanding.
The researcher developed machine learning methods to optimize automated picking systems in warehouse robots, a contribution evidenced by a 2024 paper with 49 citations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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