Fanny Yang

562 total citations
11 papers, 61 citations indexed

About

Fanny Yang is a scholar working on Artificial Intelligence, Radiation and Computational Mechanics. According to data from OpenAlex, Fanny Yang has authored 11 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Radiation and 3 papers in Computational Mechanics. Recurrent topics in Fanny Yang's work include Sparse and Compressive Sensing Techniques (3 papers), Advanced X-ray Imaging Techniques (3 papers) and Statistical Methods and Inference (2 papers). Fanny Yang is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Advanced X-ray Imaging Techniques (3 papers) and Statistical Methods and Inference (2 papers). Fanny Yang collaborates with scholars based in United States, Switzerland and Germany. Fanny Yang's co-authors include Volker Pohl, Holger Boche, Martin J. Wainwright, Yuting Wei, Anqi Liu, Animashree Anandkumar, Kamyar Azizzadenesheli, Kevin Jamieson, Aaditya Ramdas and Aditi Raghunathan and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Advances in Modeling Earth Systems and Journal of Fourier Analysis and Applications.

In The Last Decade

Fanny Yang

9 papers receiving 56 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fanny Yang United States	4	29	27	18	14	6	11	61
Felix Draxler Germany	3	34 1.2×	40 1.5×	2 0.1×	19 1.4×	3 0.5×	3	81
G. Quétant Switzerland	4	17 0.6×	11 0.4×	3 0.2×	6 0.4×	2 0.3×	7	71
G. B. Cerati United States	5	25 0.9×	10 0.4×	11 0.6×	1 0.1×	6 1.0×	17	69
F.-P. Schilling Switzerland	6	22 0.8×	8 0.3×	5 0.3×	3 0.2×	1 0.2×	17	85
Mauro Dell'Orso Italy	3	22 0.8×	6 0.2×	17 0.9×	2 0.1×	3 0.5×	6	85
K. Zoch Switzerland	4	24 0.8×	6 0.2×	5 0.3×	3 0.2×		5	78
Xiaodan Deng China	6	28 1.0×	14 0.5×		7 0.5×	2 0.3×	13	77
F. Hug Germany	2	28 1.0×	21 0.8×	5 0.3×	1 0.1×	2 0.3×	3	40
Zhengnan Huang United States	3	8 0.3×	16 0.6×	5 0.3×	11 0.8×	6 1.0×	4	91
T. Vik Germany	6	8 0.3×	32 1.2×	24 1.3×	4 0.3×	2 0.3×	15	85

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-authorship network of co-authors of Fanny Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fanny Yang. A scholar is included among the top collaborators of Fanny Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fanny Yang. Fanny Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

Bastos, Ana, et al.. (2025). Atmospheric Transport Modeling of CO₂ With Neural Networks. Journal of Advances in Modeling Earth Systems. 17(2).

Yang, Fanny, et al.. (2019). Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness. arXiv (Cornell University). 32. 14757–14768. 1 indexed citations

Azizzadenesheli, Kamyar, Anqi Liu, Fanny Yang, & Animashree Anandkumar. (2019). Regularized Learning for Domain Adaptation under Label Shifts. arXiv (Cornell University). 17 indexed citations

Xie, Sang Michael, Aditi Raghunathan, Fanny Yang, John C. Duchi, & Percy Liang. (2019). When Covariate-shifted Data Augmentation Increases Test Error And How to Fix It. 1 indexed citations

Wei, Yuting, Fanny Yang, & Martin J. Wainwright. (2019). Early Stopping for Kernel Boosting Algorithms: A General Analysis With Localized Complexities. IEEE Transactions on Information Theory. 65(10). 6685–6703. 12 indexed citations

Yang, Fanny, Aaditya Ramdas, Kevin Jamieson, & Martin J. Wainwright. (2017). A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control. Neural Information Processing Systems. 30. 5957–5966. 3 indexed citations

Wei, Yuting, Fanny Yang, & Martin J. Wainwright. (2017). Early stopping for kernel boosting algorithms: A general analysis with localized complexities. Neural Information Processing Systems. 30. 6065–6075. 3 indexed citations

Pohl, Volker, et al.. (2014). A phase retrieval method for signals in modulation-invariant spaces. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 46–50. 2 indexed citations

Pohl, Volker, Fanny Yang, & Holger Boche. (2014). Phaseless Signal Recovery in Infinite Dimensional Spaces Using Structured Modulations. Journal of Fourier Analysis and Applications. 20(6). 1212–1233. 17 indexed citations

10.

Yang, Fanny, Volker Pohl, & Holger Boche. (2013). Phase Retrieval via Structured Modulations in Paley-Wiener Spaces. arXiv (Cornell University). 3 indexed citations

11.

Boche, Holger, Volker Pohl, & Fanny Yang. (2012). Causal Reconstruction Kernels For Consistent Signal Recovery. Zenodo (CERN European Organization for Nuclear Research). 1174–1178. 2 indexed citations

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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