Yuekai Sun

2.6k total citations
26 papers, 446 citations indexed

About

Yuekai Sun is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Yuekai Sun has authored 26 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Computational Mechanics. Recurrent topics in Yuekai Sun's work include Sparse and Compressive Sensing Techniques (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (3 papers). Yuekai Sun is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (3 papers). Yuekai Sun collaborates with scholars based in United States, Germany and Luxembourg. Yuekai Sun's co-authors include Jun Lou, Qilin Li, Jianwei Ma, Jonathan Taylor, Jason D. Lee, Qiang Liu, Michael A. Saunders, Fengshan Zhang, Ying Liu and Mikhail Yurochkin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Technometrics and Langmuir.

In The Last Decade

Yuekai Sun

23 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuekai Sun United States	10	124	100	91	80	62	26	446
Kei Hirose Japan	10	39 0.3×	34 0.3×	38 0.4×	86 1.1×	12 0.2×	34	338
Sameh Kessentini Tunisia	12	281 2.3×	71 0.7×	26 0.3×	4 0.1×	72 1.2×	20	469
Yuqian Zhang China	10	70 0.6×	24 0.2×	36 0.4×	9 0.1×	131 2.1×	42	344
Seunghwan Park South Korea	10	43 0.3×	40 0.4×	62 0.7×	25 0.3×	4 0.1×	50	342
Jianxin Feng China	15	65 0.5×	40 0.4×	284 3.1×	4 0.1×	9 0.1×	31	647
Xingdong Feng China	11	57 0.5×	41 0.4×	40 0.4×	84 1.1×	8 0.1×	44	446
Perambur S. Neelakanta United States	9	62 0.5×	21 0.2×	37 0.4×	5 0.1×	5 0.1×	72	441

Countries citing papers authored by Yuekai Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yuekai Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuekai Sun

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

Choshen, Leshem, et al.. (2024). Efficient multi-prompt evaluation of LLMs. 22483–22512.

Huo, Dan, Yuekai Sun, Fengshan Zhang, et al.. (2023). Selective degradation of hemicellulose and lignin for improving enzymolysis efficiency via pretreatment using deep eutectic solvents. Bioresource Technology. 376. 128937–128937. 59 indexed citations

Dutta, Diptavo, et al.. (2023). A linear adjustment-based approach to posterior drift in transfer learning. Biometrika. 111(1). 31–50. 3 indexed citations

Yurochkin, Mikhail, et al.. (2021). Individually Fair Rankings. International Conference on Learning Representations. 2 indexed citations

Araya–Polo, Mauricio & Yuekai Sun. (2021). SASI: a metric for Salt Body Reconstruction. 1–3. 2 indexed citations

Damle, Anil & Yuekai Sun. (2020). Uniform Bounds for Invariant Subspace Perturbations. SIAM Journal on Matrix Analysis and Applications. 41(3). 1208–1236. 3 indexed citations

Yurochkin, Mikhail, et al.. (2020). Auditing ML Models for Individual Bias and Unfairness. International Conference on Artificial Intelligence and Statistics. 4552–4562.

Lee, Jason D., Qiang Liu, Yuekai Sun, & Jonathan Taylor. (2017). Communication-efficient sparse regression. Journal of Machine Learning Research. 18(5). 115–144. 69 indexed citations

Damle, Anil & Yuekai Sun. (2016). A Geometric Approach to Archetypal Analysis and Nonnegative Matrix Factorization. Technometrics. 59(3). 361–370. 4 indexed citations

10.

Yang, Jiyan, Michael W. Mahoney, Michael A. Saunders, & Yuekai Sun. (2016). Feature-distributed sparse regression: a screen-and-clean approach. Neural Information Processing Systems. 29. 2712–2720. 5 indexed citations

11.

Lee, Jason D., Yuekai Sun, & Jonathan Taylor. (2015). Evaluating the statistical significance of biclusters. Neural Information Processing Systems. 28. 1324–1332. 6 indexed citations

12.

Yang, Laurence, Justin Tan, Edward J. O’Brien, et al.. (2015). Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data. Proceedings of the National Academy of Sciences. 112(34). 10810–10815. 31 indexed citations

13.

Lee, Jason D., Dennis L. Sun, Yuekai Sun, & Jonathan Taylor. (2013). Exact inference after model selection via the Lasso. arXiv (Cornell University). 7 indexed citations

14.

Lee, Jason D., Yuekai Sun, & Jonathan Taylor. (2013). On model selection consistency of penalized M-estimators: a geometric theory. Neural Information Processing Systems. 26. 342–350. 7 indexed citations

15.

Sun, Yuekai, Ronan M. T. Fleming, Ines Thiele, & Michael A. Saunders. (2013). Robust flux balance analysis of multiscale biochemical reaction networks. BMC Bioinformatics. 14(1). 240–240. 17 indexed citations

16.

Sun, Yuekai. (2013). LEARNING MIXTURES OF LINEAR CLASSIFIERS. arXiv (Cornell University). 721–729. 2 indexed citations

17.

Lee, Jason D., Yuekai Sun, & Michael A. Saunders. (2012). Proximal Newton-type methods for convex optimization. arXiv (Cornell University). 25. 827–835. 16 indexed citations

18.

Lee, Jason D., Yuekai Sun, & Michael A. Saunders. (2012). Proximal Newton-type Methods for Minimizing Convex Objective Functions in Composite Form. arXiv (Cornell University). 1 indexed citations

19.

Ma, Jianwei, et al.. (2011). Nanostructure on Taro Leaves Resists Fouling by Colloids and Bacteria under Submerged Conditions. Langmuir. 27(16). 10035–10040. 121 indexed citations

20.

Ghorbel, Fathi H., et al.. (2009). Nanoscale Friction Dynamic Modeling. Journal of Dynamic Systems Measurement and Control. 131(6). 19 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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