Will Wei Sun

750 total citations
23 papers, 292 citations indexed

About

Will Wei Sun is a scholar working on Computational Mathematics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Will Wei Sun has authored 23 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mathematics, 6 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Will Wei Sun's work include Tensor decomposition and applications (10 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced Bandit Algorithms Research (6 papers). Will Wei Sun is often cited by papers focused on Tensor decomposition and applications (10 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced Bandit Algorithms Research (6 papers). Will Wei Sun collaborates with scholars based in United States, Germany and United Kingdom. Will Wei Sun's co-authors include Lexin Li, Guang Cheng, Jingfei Zhang, Han Liu, Junwei Lu, Binhuan Wang, Yilong Zhang, Yixin Fang, Jian Yang and Jie Zhou and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Operations Research.

In The Last Decade

Will Wei Sun

21 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Will Wei Sun United States	11	134	95	75	74	39	23	292
Namgil Lee South Korea	9	84 0.6×	35 0.4×	33 0.4×	42 0.6×	35 0.9×	23	226
Brian Baingana United States	9	39 0.3×	171 1.8×	34 0.5×	42 0.6×	19 0.5×	17	321
Yunlong He United States	4	47 0.4×	89 0.9×	8 0.1×	83 1.1×	77 2.0×	6	276
Beyza Ermiş Türkiye	7	79 0.6×	88 0.9×	15 0.2×	20 0.3×	24 0.6×	18	172
Vincent Q. Vu United States	7	8 0.1×	67 0.7×	12 0.2×	61 0.8×	33 0.8×	13	268
Antony Joseph United States	8	7 0.1×	77 0.8×	5 0.1×	53 0.7×	28 0.7×	14	297
Kai-Yang Chiang United States	8	21 0.2×	298 3.1×	4 0.1×	84 1.1×	70 1.8×	9	465
Weixiang Shao United States	10	24 0.2×	242 2.5×	8 0.1×	13 0.2×	154 3.9×	15	383
Vassilis N. Ioannidis United States	8	26 0.2×	155 1.6×	4 0.1×	16 0.2×	23 0.6×	26	219
Carlo Fantozzi Italy	8	5 0.0×	121 1.3×	12 0.2×	6 0.1×	75 1.9×	23	249

Countries citing papers authored by Will Wei Sun

Since Specialization

Citations

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

Fields of papers citing papers by Will Wei Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will Wei Sun. 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 Will Wei Sun. The network helps show where Will Wei Sun may publish in the future.

Co-authorship network of co-authors of Will Wei Sun

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

20 of 20 papers shown

Xu, Shirong, Will Wei Sun, & Guang Cheng. (2025). Rate-Optimal Rank Aggregation with Private Pairwise Rankings. Journal of the American Statistical Association. 120(550). 737–750.

Xiong, Guiyang, et al.. (2024). Evaluating multimedia advertising campaign effectiveness. Decision Support Systems. 187. 114348–114348. 1 indexed citations

Zhang, Jingfei, et al.. (2024). Jointly Modeling and Clustering Tensors in High Dimensions. Operations Research. 73(3). 1320–1335. 1 indexed citations

Yang, Zhuoran, et al.. (2024). Contextual Dynamic Pricing with Strategic Buyers. Journal of the American Statistical Association. 120(550). 896–908. 2 indexed citations

Zhou, Jie, et al.. (2024). Stochastic Low-Rank Tensor Bandits for Multi-Dimensional Online Decision Making. Journal of the American Statistical Association. 120(549). 198–211. 2 indexed citations

Sun, Will Wei, et al.. (2023). Online Regularization toward Always-Valid High-Dimensional Dynamic Pricing. Journal of the American Statistical Association. 119(548). 2895–2907. 3 indexed citations

Sun, Will Wei, et al.. (2023). Distribution-Free Contextual Dynamic Pricing. Mathematics of Operations Research. 49(1). 599–618. 10 indexed citations

Sun, Will Wei, et al.. (2022). Covariate-Assisted Sparse Tensor Completion. Journal of the American Statistical Association. 118(544). 2605–2619. 1 indexed citations

Zhang, Jingfei, Will Wei Sun, & Lexin Li. (2022). Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies. Journal of Computational and Graphical Statistics. 32(1). 252–262. 8 indexed citations

10.

Zhou, Jie, Will Wei Sun, Jingfei Zhang, & Lexin Li. (2021). Partially Observed Dynamic Tensor Response Regression. Journal of the American Statistical Association. 118(541). 424–439. 17 indexed citations

11.

Eric, C., Brian J. Gaines, Will Wei Sun, Hua Zhou, & Jian Yang. (2020). Provable Convex Co-clustering of Tensors.. PubMed. 21. 12 indexed citations

12.

Zhang, Jingfei, Will Wei Sun, & Lexin Li. (2019). Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis. Journal of the American Statistical Association. 115(532). 2022–2036. 18 indexed citations

13.

Sun, Will Wei, et al.. (2019). Tensor Graphical Model: Non-Convex Optimization and Statistical Inference. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(8). 2024–2037. 18 indexed citations

14.

Zhang, Jingfei, Will Wei Sun, & Lexin Li. (2018). Network Response Regression for Modeling Population of Networks with Covariates. arXiv (Cornell University). 8 indexed citations

15.

Sun, Will Wei, et al.. (2018). Simultaneous Clustering and Estimation of Heterogeneous Graphical Models.. PubMed. 18. 10 indexed citations

16.

Sun, Will Wei & Lexin Li. (2017). STORE: sparse tensor response regression and neuroimaging analysis. Journal of Machine Learning Research. 18(1). 4908–4944. 19 indexed citations

17.

Wang, Binhuan, Yilong Zhang, Will Wei Sun, & Yixin Fang. (2017). Sparse Convex Clustering. Journal of Computational and Graphical Statistics. 27(2). 393–403. 37 indexed citations

18.

Sun, Will Wei & Lexin Li. (2016). Sparse Low-rank Tensor Response Regression. arXiv (Cornell University). 1 indexed citations

19.

Sun, Will Wei, Junwei Lu, Han Liu, & Guang Cheng. (2016). Provable Sparse Tensor Decomposition. Journal of the Royal Statistical Society Series B (Statistical Methodology). 79(3). 899–916. 65 indexed citations

20.

Sun, Will Wei, Xingye Qiao, & Guang Cheng. (2015). Stabilized Nearest Neighbor Classifier and its Statistical Properties. Journal of the American Statistical Association. 111(515). 1254–1265. 8 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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