Yichen Qin

488 total citations
35 papers, 186 citations indexed

About

Yichen Qin is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Yichen Qin has authored 35 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Yichen Qin's work include Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods in Clinical Trials (6 papers). Yichen Qin is often cited by papers focused on Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (10 papers) and Statistical Methods in Clinical Trials (6 papers). Yichen Qin collaborates with scholars based in United States, China and Hong Kong. Yichen Qin's co-authors include Carey E. Priebe, Yang Li, Feifang Hu, Wei Ma, Keith Levin, Joshua T Vogelstein, Daniel L. Sussman, Minh Tang, Vince Lyzinski and Avanti Athreya and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Yichen Qin

31 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yichen Qin United States 7 89 42 29 17 17 35 186
Stéphane Gaïffas France 9 71 0.8× 83 2.0× 15 0.5× 16 0.9× 10 0.6× 19 209
Alain Célisse France 7 70 0.8× 65 1.5× 58 2.0× 43 2.5× 8 0.5× 13 224
Daniele Durante Italy 10 77 0.9× 89 2.1× 66 2.3× 14 0.8× 21 1.2× 26 213
Alexandre G. Patriota Brazil 10 163 1.8× 83 2.0× 16 0.6× 20 1.2× 9 0.5× 32 278
Michalis K. Titsias United Kingdom 4 23 0.3× 50 1.2× 9 0.3× 24 1.4× 14 0.8× 9 132
Hannes Sieling Germany 4 114 1.3× 47 1.1× 7 0.2× 50 2.9× 20 1.2× 5 209
Thibaut Le Gouic France 5 51 0.6× 27 0.6× 11 0.4× 4 0.2× 5 0.3× 10 138
Vinayak Rao United States 8 63 0.7× 103 2.5× 18 0.6× 29 1.7× 2 0.1× 22 179
Clare A. McGrory Australia 6 102 1.1× 139 3.3× 5 0.2× 18 1.1× 16 0.9× 18 232
Arup Gayen 2 59 0.7× 19 0.5× 5 0.2× 12 0.7× 8 0.5× 6 140

Countries citing papers authored by Yichen Qin

Since Specialization
Citations

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

Fields of papers citing papers by Yichen Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichen Qin

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

All Works

20 of 20 papers shown
1.
Qin, Yichen, et al.. (2024). Local bootstrap for network data. Biometrika. 112(1).
2.
Qin, Yichen, et al.. (2024). Sparsified simultaneous confidence intervals for high-dimensional linear models. Metrika. 88(5). 709–733. 1 indexed citations
3.
Li, Yang, et al.. (2023). Block Weighted Least Squares Estimation for Nonlinear Cost-based Split Questionnaire Design. Journal of Official Statistics. 39(4). 459–487. 1 indexed citations
4.
Wang, Yujie, et al.. (2022). Peptoniphilus indolicus infection in a pregnant woman: a case report. Current Medical Research and Opinion. 38(8). 1439–1442. 1 indexed citations
5.
6.
Chen, Jiachen, et al.. (2022). Lq‐based robust analytics on ultrahigh and high dimensional data. Statistics in Medicine. 41(26). 5220–5241.
7.
Qin, Yichen, et al.. (2022). Optimal Integrating Learning for Split Questionnaire Design Type Data. Journal of Computational and Graphical Statistics. 32(3). 1009–1023.
8.
Qin, Yichen, et al.. (2021). Iterative Connecting Probability Estimation for Networks. Neural Information Processing Systems. 34. 1 indexed citations
9.
Li, Yang, et al.. (2021). Robust group variable screening based on maximum Lq‐likelihood estimation. Statistics in Medicine. 40(30). 6818–6834. 1 indexed citations
10.
Qin, Yichen, et al.. (2021). Confidence graphs for graphical model selection. Statistics and Computing. 31(5). 2 indexed citations
11.
Li, Yang, Wei Ma, Yichen Qin, & Feifang Hu. (2021). Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates. Statistical Methods in Medical Research. 30(9). 2148–2164. 9 indexed citations
12.
DiCesare, Christopher A., Weihong Yuan, Jed A. Diekfuss, et al.. (2020). Machine Learning Classification of Verified Head Impact Exposure Strengthens Associations with Brain Changes. Annals of Biomedical Engineering. 48(12). 2772–2782. 7 indexed citations
13.
Ma, Wei, Yichen Qin, Yang Li, & Feifang Hu. (2019). Statistical Inference for Covariate-Adaptive Randomization Procedures. Journal of the American Statistical Association. 115(531). 1488–1497. 30 indexed citations
14.
Li, Yang, et al.. (2019). Penalized integrative semiparametric interaction analysis for multiple genetic datasets. Statistics in Medicine. 38(17). 3221–3242. 3 indexed citations
15.
Athreya, Avanti, Donniell E. Fishkind, Minh Tang, et al.. (2018). Statistical inference on random dot product graphs: a survey. Journal of Machine Learning Research. 18(226). 1–92. 47 indexed citations
16.
Tso, Kwok Fai, et al.. (2018). Penalized multiple inflated values selection method with application to SAFER data. Statistical Methods in Medical Research. 28(10-11). 3205–3225. 1 indexed citations
17.
Qin, Yichen, Yang Li, & Feifang Hu. (2016). An Optimal Method for Covariate Balancing and Its Properties. arXiv (Cornell University). 1 indexed citations
18.
Li, Lin, Yang Li, Yichen Qin, et al.. (2015). Adaptive stochastic gradient boosting tree with composite criterion. Journal of Statistical Computation and Simulation. 86(10). 1901–1911. 2 indexed citations
19.
Zhou, Nan, et al.. (2013). Evolution of High Frequency Systematic Trading: A Performance-Driven Gradient Boosting Model.
20.
Qin, Yichen & Carey E. Priebe. (2013). Maximum Lq-Likelihood Estimation via the Expectation-Maximization Algorithm: A Robust Estimation of Mixture Models. Journal of the American Statistical Association. 108(503). 914–928. 15 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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