Yichen Qin

488 citations

35 papers · 186 indexed · h-index 7

Impact in

Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Statistical and Nonlinear Physics
- Complex Network Analysis Techniques

Papers in ⓘ

Statistics and Probability 19
- Statistical Methods and Inference 12
- Statistical Methods and Bayesian Inference 10
- Statistical Methods in Clinical Trials 6
- Advanced Statistical Methods and Models 5
Artificial Intelligence 11
- Imbalanced Data Classification Techniques 4
- Bayesian Methods and Mixture Models 4

Co-authors: Carey E. Priebe (3 shared papers)Yang Li (16 shared papers)Feifang Hu (6 shared papers)Wei Ma (3 shared papers)Avanti Athreya (1 shared paper)Donniell E. Fishkind (1 shared paper)Daniel L. Sussman (1 shared paper)Youngser Park (1 shared paper)
Journals: Statistics in Medicine (5 papers)Computational Statistics & Data Analysis (2 papers)Journal of the American Statistical Association (2 papers)Statistica Sinica (2 papers)Journal of Statistical Computation and Simulation (2 papers)
Partner nations: United States China Taiwan

In The Last Decade

Yichen Qin

31 papers receiving 179 citations

Peers

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-authors

The 25 scholars most cited alongside Yichen Qin, 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 Yichen Qin Line = papers co-authored together Yichen Qin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Statistical inference on random dot product graphs: a survey Journal of Machine Learning Research ·Avanti Athreya, Donniell E. Fishkind, Minh Tang, Carey E. Priebe, Youngser Park, Joshua T Vogelstein, Keith Levin, Vince Lyzinski, Yichen Qin, Daniel L. Sussman	2018	47
2	Statistical Inference for Covariate-Adaptive Randomization Procedures Journal of the American Statistical Association ·Wei Ma, Yichen Qin, Yang Li, Feifang Hu	2019	30
3	Maximum Lq-Likelihood Estimation via the Expectation-Maximization Algorithm: A Robust Estimation of Mixture Models Journal of the American Statistical Association ·Yichen Qin, Carey E. Priebe	2013	15
4	Feature Selection for Support Vector Machine in the Study of Financial Early Warning System Quality and Reliability Engineering International ·Jingxiang Li, Yichen Qin, Danhui Yi, Yang Li, Ye Shen	2014	12
5	Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates Statistical Methods in Medical Research ·Yang Li, Wei Ma, Yichen Qin, Feifang Hu	2021	9
6	Model Confidence Bounds for Variable Selection Biometrics ·Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, Yichen Qin	2019	8
7	Machine Learning Classification of Verified Head Impact Exposure Strengthens Associations with Brain Changes Annals of Biomedical Engineering ·Christopher A. DiCesare, Brittany Green, Weihong Yuan, Jed A. Diekfuss, Kim D. Barber Foss, Jon Dudley, Yichen Qin, Peng Wang, Gregory D. Myer	2020	7
8	Robust Hypothesis Testing via Lq-Likelihood Statistica Sinica ·Yichen Qin, Carey E. Priebe	2017	6
9	Assisted gene expression‐based clustering with AWNCut Statistics in Medicine ·Yang Li, Ruofan Bie, Sebastian J. Teran Hidalgo, Yichen Qin, Mengyun Wu, Shuangge Ma	2018	6
10	Integrative interaction analysis using threshold gradient directed regularization Applied Stochastic Models in Business and Industry ·Yang Li, Rong Li, Yichen Qin, Mengyun Wu, Shuangge Ma	2018	4
11	Grouped Variable Selection Using Area under the ROC with Imbalanced Data Communications in Statistics - Simulation and Computation ·Yang Li, Yichen Qin, Limin Wang, Jiaxu Chen, Shuangge Ma	2014	4
12	The effect of post-abortion care (PAC) on anxiety in women with spontaneous abortion based on MicroRNA-21 expression, cortisol level, and Fordyce happiness pattern Cellular and Molecular Biology ·Leilei Gong, Jun Ah Han, Wenwen Yan, Yichen Qin	2022	3
13	Penalized integrative semiparametric interaction analysis for multiple genetic datasets Statistics in Medicine ·Yang Li, Rong Li, Cunjie Lin, Yichen Qin, Shuangge Ma	2019	3
14	Variable selection in strong hierarchical semiparametric models for longitudinal data Statistics and Its Interface ·Xian-Bin Zeng, Shuangge Ma, Yichen Qin, Yang Li	2015	3
15	Syndrome evaluation in traditional Chinese medicine using second‐order latent variable model Statistics in Medicine ·Yang Li, Danhui Yi, Huiyun Zhang, Yichen Qin	2011	3
16	Regularized receiver operating characteristic-based logistic regression for grouped variable selection with composite criterion Journal of Statistical Computation and Simulation ·Yang Li, Chenqun Yu, Yichen Qin, Limin Wang, Jiaxu Chen, Danhui Yi, Ben‐Chang Shia, Shuangge Ma	2014	3
17	Evolution of high-frequency systematic trading: a performance-driven gradient boosting model Quantitative Finance ·Nan Zhou, Wen Cheng, Yichen Qin, Zongcheng Yin	2015	3
18	Grouped penalization estimation of the osteoporosis data in the traditional Chinese medicine Journal of Applied Statistics ·Yang Li, Yichen Qin, Yan‐Ming Xie, Feng Tian	2013	3
19	Confidence graphs for graphical model selection Statistics and Computing ·Linna Wang, Yichen Qin, Yang Li	2021	2
20	Adaptive stochastic gradient boosting tree with composite criterion Journal of Statistical Computation and Simulation ·Lin Li, Yang Li, Yichen Qin, Jiaxu Chen, Limin Wang, Danhui Yi	2015	2

About Yichen Qin

Yichen Qin is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Molecular Biology and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 186 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods in Clinical Trials (6 papers), Advanced Statistical Methods and Models (5 papers), Imbalanced Data Classification Techniques (4 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Statistical Process Monitoring (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Statistics and Probability (89 citations), Statistical and Nonlinear Physics (29 citations), Computational Mathematics (1 citation), Statistics, Probability and Uncertainty (10 citations) and Artificial Intelligence (42 citations). Yichen Qin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Carey E. Priebe, Yang Li, Feifang Hu, Wei Ma, Avanti Athreya, Donniell E. Fishkind, Daniel L. Sussman, Youngser Park, Vince Lyzinski and Minh Tang. Their work appears in journals such as Statistics in Medicine, Computational Statistics & Data Analysis, Journal of the American Statistical Association, Statistica Sinica and Journal of Statistical Computation and Simulation.

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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