Yiqiao Zhong

815 total citations
14 papers, 295 citations indexed

About

Yiqiao Zhong is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Yiqiao Zhong has authored 14 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 4 papers in Computational Mechanics. Recurrent topics in Yiqiao Zhong's work include Sparse and Compressive Sensing Techniques (4 papers), Neural Networks and Applications (3 papers) and Statistical Methods and Inference (3 papers). Yiqiao Zhong is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Neural Networks and Applications (3 papers) and Statistical Methods and Inference (3 papers). Yiqiao Zhong collaborates with scholars based in United States and China. Yiqiao Zhong's co-authors include Jianqing Fan, Kaizheng Wang, Nicolas Boumal, Emmanuel Abbé, Cong Ma, Weichen Wang, Andrea Montanari, Ziwei Zhu, Rong Ma and Kangjie Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Econometrics.

In The Last Decade

Yiqiao Zhong

12 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiqiao Zhong United States 7 98 81 79 52 37 14 295
Kaizheng Wang United States 4 83 0.8× 98 1.2× 60 0.8× 40 0.8× 35 0.9× 7 255
Stanislav Minsker United States 8 139 1.4× 55 0.7× 111 1.4× 13 0.3× 12 0.3× 21 276
Arnak S. Dalalyan France 11 321 3.3× 114 1.4× 170 2.2× 14 0.3× 23 0.6× 34 484
Klaus Frick Germany 8 111 1.1× 74 0.9× 44 0.6× 13 0.3× 6 0.2× 21 321
Silvia Villa Italy 13 58 0.6× 288 3.6× 164 2.1× 19 0.4× 12 0.3× 48 564
Pierre Alquier France 11 142 1.4× 47 0.6× 163 2.1× 28 0.5× 8 0.2× 33 294
Lorenzo Finesso Italy 8 21 0.2× 24 0.3× 66 0.8× 35 0.7× 30 0.8× 29 261
Barbara Vantaggi Italy 17 114 1.2× 40 0.5× 518 6.6× 48 0.9× 8 0.2× 83 799
Adityanand Guntuboyina United States 10 216 2.2× 93 1.1× 105 1.3× 9 0.2× 12 0.3× 27 332

Countries citing papers authored by Yiqiao Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Yiqiao Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqiao Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Yiqiao Zhong. A scholar is included among the top collaborators of Yiqiao Zhong 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 Yiqiao Zhong. Yiqiao Zhong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Zhong, Yiqiao, et al.. (2025). Out-of-distribution generalization via composition: A lens through induction heads in Transformers. Proceedings of the National Academy of Sciences. 122(6). e2417182122–e2417182122.
2.
Liu, Zhexuan, Rong Ma, & Yiqiao Zhong. (2025). Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective. Nature Communications. 16(1). 5037–5037. 3 indexed citations
4.
Montanari, Andrea, Yiqiao Zhong, & Kangjie Zhou. (2024). Tractability from overparametrization: the example of the negative perceptron. Probability Theory and Related Fields. 188(3-4). 805–910. 4 indexed citations
5.
Montanari, Andrea & Yiqiao Zhong. (2022). The interpolation phase transition in neural networks: Memorization and generalization under lazy training. The Annals of Statistics. 50(5). 13 indexed citations
6.
Fan, Jianqing, Kaizheng Wang, Yiqiao Zhong, & Ziwei Zhu. (2021). Robust High-Dimensional Factor Models with Applications to Statistical Machine Learning. Statistical Science. 36(2). 303–327. 24 indexed citations
7.
Fan, Jianqing, Cong Ma, & Yiqiao Zhong. (2021). A Selective Overview of Deep Learning. Statistical Science. 36(2). 264–290. 60 indexed citations
8.
Avery, Joseph J., et al.. (2020). Is your own team against you? Implicit bias and interpersonal regard in criminal defense. The Journal of Social Psychology. 161(5). 543–559. 3 indexed citations
9.
Abbé, Emmanuel, Jianqing Fan, Kaizheng Wang, & Yiqiao Zhong. (2020). Entrywise eigenvector analysis of random matrices with low expected rank. The Annals of Statistics. 48(3). 1452–1474. 84 indexed citations
10.
Fan, Jianqing, et al.. (2018). An $\ell_{\infty}$ Eigenvector Perturbation Bound and Its Application. Journal of Machine Learning Research. 18(207). 1–42. 1 indexed citations
11.
Fan, Jianqing, Weichen Wang, & Yiqiao Zhong. (2018). An l Eigenvector Perturbation Bound and Its Application to Robust Covariance Estimation.. PubMed. 18. 13 indexed citations
12.
Fan, Jianqing, Weichen Wang, & Yiqiao Zhong. (2018). Robust covariance estimation for approximate factor models. Journal of Econometrics. 208(1). 5–22. 39 indexed citations
13.
Zhong, Yiqiao & Nicolas Boumal. (2018). Near-Optimal Bounds for Phase Synchronization. SIAM Journal on Optimization. 28(2). 989–1016. 49 indexed citations
14.
Wang, Ziteng, Chi Jin, Kai Fan, et al.. (2016). Differentially private data releasing for smooth queries. Journal of Machine Learning Research. 17(1). 1779–1820. 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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