Fanny Yang

568 citations
12 papers · 69 · h-index 5

Impact in

Papers in

Fanny Yang

10 papers receiving 64 citations

Peers

Fanny Yang
Comparison fields: 5 of 37
  • Computational Mathematics 2
  • Radiation 19
  • Computer Vision and Pattern Recognition 31
  • Structural Biology 2
  • Artificial Intelligence 31
Replace Zhengnan Huang with:
Zhengnan Huang United States
F.-P. Schilling Switzerland
T. Vik Germany
G. B. Cerati United States
M. Kirby United States
G. Quétant Switzerland
F. Hug Germany
Michael Jones United States
N. V. Tran United States
Fanny Yang relative to Zhengnan Huang United States Zhengnan Huang's profile →
Citations per field
00.5×3.8×
Zhengnan Huang · 1×
Citations per year

Countries citing papers authored by Fanny Yang

Since Specialization
Citations

This map shows the geographic impact of Fanny Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fanny Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanny Yang more than expected).

Fields of papers citing papers by Fanny Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fanny Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fanny Yang. The network helps show where Fanny Yang may publish in the future.

Co-authors

The 20 scholars most cited alongside Fanny Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fanny Yang Line = papers co-authored together Fanny Yang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201420
2 201917
3 201913
4
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
20174
5
Phase Retrieval via Structured Modulations in Paley-Wiener Spaces
20134
6
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
20173
7
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
20192
8 20142
9 20122
10 20251
11
When Covariate-shifted Data Augmentation Increases Test Error And How to Fix It
20191
12 20240

About Fanny Yang

Fanny Yang is a scholar working on Artificial Intelligence, Radiation, Computational Mechanics, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 69 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (3 papers), Advanced X-ray Imaging Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Statistical Methods and Inference (2 papers), Atmospheric and Environmental Gas Dynamics (1 paper), Cancer-related molecular mechanisms research (1 paper), Optical measurement and interference techniques (1 paper) and Mathematical Approximation and Integration (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Radiation (19 citations), Computer Vision and Pattern Recognition (31 citations), Structural Biology (2 citations) and Artificial Intelligence (31 citations). Fanny Yang has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Volker Pohl, Holger Boche, Martin J. Wainwright, Yuting Wei, Kamyar Azizzadenesheli, Animashree Anandkumar, Anqi Liu, Christina Heinze‐Deml, Aaditya Ramdas and Kevin Jamieson. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, IEEE Transactions on Information Theory, Journal of Fourier Analysis and Applications, mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) and Zenodo (CERN European Organization for Nuclear Research).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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