Guang Cheng

2.5k total citations
76 papers, 1.3k citations indexed

About

Guang Cheng is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Guang Cheng has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 31 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Guang Cheng's work include Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Statistical Methods and Models (14 papers). Guang Cheng is often cited by papers focused on Statistical Methods and Inference (39 papers), Statistical Methods and Bayesian Inference (21 papers) and Advanced Statistical Methods and Models (14 papers). Guang Cheng collaborates with scholars based in United States, China and Canada. Guang Cheng's co-authors include Jianhua Z. Huang, Teri C. Balser, Chao Liang, Devin L. Wixon, Xianyang Zhang, Zuofeng Shang, Hao Helen Zhang, Yufeng Liu, Stanislav Volgushev and Han Liu and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Guang Cheng

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guang Cheng United States	19	657	326	183	115	113	76	1.3k
Hervé Cardot France	23	1.1k 1.7×	487 1.5×	26 0.1×	141 1.2×	79 0.7×	65	2.0k
Yubin Yubin China	9	370 0.6×	225 0.7×	21 0.1×	17 0.1×	194 1.7×	48	1.0k
Rahul Mazumder United States	12	298 0.5×	325 1.0×	11 0.1×	23 0.2×	425 3.8×	36	1.3k
Jianhua Z. Huang United States	18	607 0.9×	378 1.2×	4 0.0×	35 0.3×	76 0.7×	39	1.4k
Regina Y. Liu United States	23	1.6k 2.4×	293 0.9×	7 0.0×	36 0.3×	30 0.3×	44	2.3k
Soumendra N. Lahiri United States	24	911 1.4×	385 1.2×	12 0.1×	38 0.3×	32 0.3×	82	1.7k
Béatrice Laurent France	15	357 0.5×	264 0.8×	5 0.0×	17 0.1×	169 1.5×	48	1.1k
Brett Presnell United States	13	705 1.1×	361 1.1×	5 0.0×	29 0.3×	159 1.4×	37	1.3k
Charles Bouveyron France	17	230 0.4×	746 2.3×	6 0.0×	62 0.5×	39 0.3×	70	1.4k
Sungjin Ahn South Korea	17	84 0.1×	519 1.6×	24 0.1×	84 0.7×	15 0.1×	47	1.3k

Countries citing papers authored by Guang Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Guang Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Cheng

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

Yuan, Yali, Wenbin Zou, & Guang Cheng. (2025). MW3F: Improved multi-tab website fingerprinting attacks with Transformer-based feature fusion. Journal of Network and Computer Applications. 236. 104125–104125.

Xing, Fangyuan, et al.. (2024). RAM: A Resource-Aware DDoS Attack Mitigation Framework in Clouds. IEEE Transactions on Cloud Computing. 12(4). 1387–1400.

Ning, Yang & Guang Cheng. (2023). Sparse confidence sets for normal mean models. Information and Inference A Journal of the IMA. 12(3). 1193–1247. 1 indexed citations

Hu, Xiaoyan, Jun Yin, Guang Cheng, et al.. (2022). Verifying Privacy-Preserving Financing Orders on a Consortium Blockchain Based on zk-SNARKs. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 1527–1532. 2 indexed citations

Song, Qifan, et al.. (2021). On the Algorithmic Stability of Adversarial Training. Neural Information Processing Systems. 34. 9 indexed citations

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

Yang, Yun, Zuofeng Shang, & Guang Cheng. (2020). Non-asymptotic Analysis for Nonparametric Testing. Conference on Learning Theory. 3709–3755. 2 indexed citations

Wang, Wenjia, et al.. (2020). Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. arXiv (Cornell University). 6 indexed citations

Cheng, Guang, et al.. (2020). Directional Pruning of Deep Neural Networks. Neural Information Processing Systems. 33. 13986–13998. 5 indexed citations

10.

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

11.

Wen, Zheng, et al.. (2019). Bootstrapping Upper Confidence Bound. arXiv (Cornell University). 32. 12123–12133. 1 indexed citations

12.

Volgushev, Stanislav, et al.. (2019). Distributed inference for quantile regression processes. The Annals of Statistics. 47(3). 80 indexed citations

13.

Cheng, Guang, et al.. (2019). Optimal Stopping for Medical Treatment with Predictive Information. SSRN Electronic Journal. 1 indexed citations

14.

Qiao, Xingye, et al.. (2019). Rates of Convergence for Large-scale Nearest Neighbor Classification. arXiv (Cornell University). 32. 10768–10779. 2 indexed citations

15.

Zhao, Gang, Lixin Su, Weidong Liang, et al.. (2016). Treatments for the Fifth Metacarpal Neck Fractures. Medicine. 95(11). e3059–e3059. 27 indexed citations

16.

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

17.

Zhao, Tianqi, Guang Cheng, & Han Liu. (2016). A partially linear framework for massive heterogeneous data. The Annals of Statistics. 44(4). 1400–1437. 83 indexed citations

18.

Zhang, Xianyang & Guang Cheng. (2016). Simultaneous Inference for High-Dimensional Linear Models. Journal of the American Statistical Association. 112(518). 757–768. 69 indexed citations

19.

Cheng, Guang, et al.. (2010). The research and application of vehicle comfortableness based on analytic hierarchy process method. 1124–1128. 1 indexed citations

20.

Cheng, Guang, et al.. (2009). Super Point Detection Based on Sampling and Data Streaming Algorithms. Journal of Southeast University. 25(2). 224–227.

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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