Nan Wu: h-index, Total Citations, and Citation Map
Nan Wu's h-index is 15 (16 i10-index, 2,713+ total citations across 21+ publications) according to Google Scholar as of June 2026. Nan Wu is affiliated with New York University, Center for Data Science.
Nan Wu is a researcher affiliated with New York University, Center for Data Science, specializing in various fields. Their work has been cited 2,713 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Nan Wu's Citation Metrics
Bibliometric impact based on 21 indexed publications.
- H-Index
- 15
- i10-Index
- 16
- Total Citations
- 2,713
- Citing Countries
- 70
As of June 2026.
Nan Wu has an h-index of 15 and 2,713 total citations across 21 publications, with research cited by institutions in 70 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Deep neural networks improve radiologists’ performance in breast cancer screening
2019895
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.
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Nan Wu's research
Nan Wu is a researcher at New York University, Center for Data Science. Their work has been cited 2,713 times across 21 publications (h-index 15), according to Google Scholar.
Their most-cited work, “Deep neural networks improve radiologists’ performance in breast cancer screening” (2019), has accumulated 895 citations. Other influential works include “High-resolution breast cancer screening with multi-view deep convolutional neural networks” (2017) with 342 citations and “Artificial Intelligence System Reduces False-Positive Findings in the Interpretation of Breast Ultrasound Exams” (2021) with 312 citations.
Citations of Nan Wu's research come primarily from United States, China 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.
