Xinyang Yi

502 total citations
7 papers, 112 citations indexed

About

Xinyang Yi is a scholar working on Computational Mechanics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Xinyang Yi has authored 7 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 5 papers in Artificial Intelligence and 3 papers in Statistics and Probability. Recurrent topics in Xinyang Yi's work include Sparse and Compressive Sensing Techniques (5 papers), Statistical Methods and Inference (3 papers) and Imbalanced Data Classification Techniques (1 paper). Xinyang Yi is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Statistical Methods and Inference (3 papers) and Imbalanced Data Classification Techniques (1 paper). Xinyang Yi collaborates with scholars based in United States. Xinyang Yi's co-authors include Constantine Caramanis, Yudong Chen, Dohyung Park, Sujay Sanghavi, Tianyang Li, Michael Orshansky, Pradeep Ravikumar, Han Liu, Meng Li and Zhao Song and has published in prestigious journals such as IEEE Transactions on Information Theory, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Xinyang Yi

7 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xinyang Yi United States	4	68	33	32	29	22	7	112
Khanh Do Ba United States	4	50 0.7×	43 1.3×	24 0.8×	30 1.0×	6 0.3×	6	120
Pierre-André Savalle France	2	47 0.7×	27 0.8×	17 0.5×	14 0.5×	13 0.6×	2	78
Ross Boczar United States	4	60 0.9×	13 0.4×	23 0.7×	17 0.6×	2 0.1×	7	88
Mark Lammers United States	6	79 1.2×	7 0.2×	85 2.7×	60 2.1×	3 0.1×	16	197
Nicolas Keriven France	6	32 0.5×	26 0.8×	38 1.2×	24 0.8×	1 0.0×	11	84
Simone Brugiapaglia Canada	6	57 0.8×	15 0.5×	18 0.6×	7 0.2×	2 0.1×	17	101
O. Divorra Escoda Switzerland	11	46 0.7×	15 0.5×	234 7.3×	177 6.1×	2 0.1×	28	314
Ameya Velingker United States	7	31 0.5×	31 0.9×	12 0.4×	8 0.3×	1 0.0×	12	84
Daniel Guo United States	3	14 0.2×	111 3.4×	26 0.8×	12 0.4×	2 0.1×	3	134

Countries citing papers authored by Xinyang Yi

Since Specialization

Citations

This map shows the geographic impact of Xinyang Yi'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 Xinyang Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyang Yi more than expected).

Fields of papers citing papers by Xinyang Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinyang Yi. 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 Xinyang Yi. The network helps show where Xinyang Yi may publish in the future.

Co-authorship network of co-authors of Xinyang Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyang Yi. A scholar is included among the top collaborators of Xinyang Yi 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 Xinyang Yi. Xinyang Yi 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:

7 of 7 papers shown

1.

Yi, Xinyang, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, & Han Liu. (2019). More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning. arXiv (Cornell University). 29. 4475–4483. 3 indexed citations

2.

Li, Tianyang, Xinyang Yi, Constantine Caramanis, & Pradeep Ravikumar. (2017). Minimax Gaussian Classification & Clustering. International Conference on Artificial Intelligence and Statistics. 1–9. 2 indexed citations

3.

Chen, Yudong, Xinyang Yi, & Constantine Caramanis. (2017). Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates. IEEE Transactions on Information Theory. 64(3). 1738–1766. 6 indexed citations

4.

Yi, Xinyang, Dohyung Park, Yudong Chen, & Constantine Caramanis. (2016). Fast Algorithms for Robust PCA via Gradient Descent. Neural Information Processing Systems. 29. 4152–4160. 59 indexed citations

5.

Yi, Xinyang & Constantine Caramanis. (2015). Regularized EM algorithms: a unified framework and statistical guarantees. Neural Information Processing Systems. 28. 1567–1575. 7 indexed citations

6.

Wang, Ye, Meng Li, Xinyang Yi, et al.. (2015). Novel power grid reduction method based on L1 regularization. 1–6. 3 indexed citations

7.

Yi, Xinyang, Constantine Caramanis, & Sujay Sanghavi. (2013). Alternating Minimization for Mixed Linear Regression. arXiv (Cornell University). 613–621. 32 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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