Zuofeng Shang

691 total citations
40 papers, 313 citations indexed

About

Zuofeng Shang is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zuofeng Shang has authored 40 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zuofeng Shang's work include Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). Zuofeng Shang is often cited by papers focused on Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (8 papers) and Advanced Statistical Methods and Models (8 papers). Zuofeng Shang collaborates with scholars based in United States, China and Netherlands. Zuofeng Shang's co-authors include Guang Cheng, Murray K. Clayton, Ganggang Xu, Yang Feng, Chunming Zhang, Guanqun Cao, Yuan Jiang, Yonghui Zhang, Pang Du and Qiankun Zhou and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Econometrics.

In The Last Decade

Zuofeng Shang

37 papers receiving 294 citations

Peers

Zuofeng Shang
Harry van Zanten Netherlands
Robert W. Keener United States
S. Y. Novak United Kingdom
Harry van Zanten Netherlands
Zuofeng Shang
Citations per year, relative to Zuofeng Shang Zuofeng Shang (= 1×) peers Harry van Zanten

Countries citing papers authored by Zuofeng Shang

Since Specialization
Citations

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

Fields of papers citing papers by Zuofeng Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuofeng Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Zuofeng Shang. A scholar is included among the top collaborators of Zuofeng Shang 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 Zuofeng Shang. Zuofeng Shang 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.
Shang, Zuofeng, et al.. (2024). Heterogeneous dense subhypergraph detection. Statistica Neerlandica. 78(4). 759–775.
2.
Liu, Ruiqi, Ganggang Xu, & Zuofeng Shang. (2023). Distributed adaptive nearest neighbor classifier: algorithm and theory. Statistics and Computing. 33(5).
3.
4.
Cao, Guanqun, et al.. (2023). Deep neural network classifier for multidimensional functional data. Scandinavian Journal of Statistics. 50(4). 1667–1686. 6 indexed citations
5.
Yang, Yanxing, et al.. (2022). Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods. The Astrophysical Journal Supplement Series. 263(2). 28–28. 10 indexed citations
6.
Liu, Ruiqi, et al.. (2022). Online statistical inference for parameters estimation with linear-equality constraints. Journal of Multivariate Analysis. 191. 105017–105017. 3 indexed citations
7.
Shang, Zuofeng, et al.. (2021). Information limits for detecting a subhypergraph. Stat. 10(1). 4 indexed citations
8.
Liu, Meimei, Zuofeng Shang, Yun Yang, & Guang Cheng. (2021). Nonparametric Testing Under Randomized Sketching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 4280–4290. 1 indexed citations
9.
Xing, Xin, et al.. (2020). Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. International Conference on Learning Representations. 1 indexed citations
10.
Yang, Yun, Zuofeng Shang, & Guang Cheng. (2020). Non-asymptotic Analysis for Nonparametric Testing. Conference on Learning Theory. 3709–3755. 2 indexed citations
11.
Liu, Meimei, Zuofeng Shang, & Guang Cheng. (2019). Sharp Theoretical Analysis for Nonparametric Testing under Random Projection. Conference on Learning Theory. 2175–2209. 1 indexed citations
12.
Zhao, Shunan, et al.. (2019). Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method. Journal of Business and Economic Statistics. 39(1). 325–337. 7 indexed citations
13.
Levine, Michael, et al.. (2018). An MM algorithm for estimation of a two component semiparametric density mixture with a known component. Electronic Journal of Statistics. 12(1). 2 indexed citations
14.
Xu, Ganggang, Zuofeng Shang, & Guang Cheng. (2016). Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data. IUScholarWorks (Indiana University). 5483–5491. 11 indexed citations
15.
Cheng, Guang & Zuofeng Shang. (2015). Joint asymptotics for semi-nonparametric regression models with partially linear structure. The Annals of Statistics. 43(3). 14 indexed citations
16.
Shang, Zuofeng & Guang Cheng. (2015). Nonparametric inference in generalized functional linear models. The Annals of Statistics. 43(4). 32 indexed citations
17.
Shang, Zuofeng & Ping Li. (2014). High-dimensional Bayesian inference in nonparametric additive models. Electronic Journal of Statistics. 8(2). 3 indexed citations
18.
Cheng, Guang, Hao Helen Zhang, & Zuofeng Shang. (2013). Sparse and efficient estimation for partial spline models with increasing dimension. Annals of the Institute of Statistical Mathematics. 67(1). 93–127. 8 indexed citations
19.
Shang, Zuofeng. (2010). Convergence rate and Bahadur type representation of general smoothing spline M-estimates. Electronic Journal of Statistics. 4(none). 6 indexed citations
20.
Shang, Zuofeng & Xingwei Zhou. (2006). Dual generators for weighted irregular wavelet frames and reconstruction error. Applied and Computational Harmonic Analysis. 22(3). 356–367. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026