Changbo Zhu

597 total citations
14 papers, 291 citations indexed

About

Changbo Zhu is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Changbo Zhu has authored 14 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Changbo Zhu's work include Statistical Methods and Inference (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Bayesian Methods and Mixture Models (2 papers). Changbo Zhu is often cited by papers focused on Statistical Methods and Inference (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Bayesian Methods and Mixture Models (2 papers). Changbo Zhu collaborates with scholars based in United States, China and United Kingdom. Changbo Zhu's co-authors include Shuicheng Yan, Canyi Lu, Zhouchen Lin, Chunyan Xu, Xiaofeng Shao, Xinzhou Cheng, Haina Ye, Lexi Xu, Hans‐Georg Müller and Huan Xu and has published in prestigious journals such as Scientific Reports, Biometrika and Journal of Econometrics.

In The Last Decade

Changbo Zhu

12 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changbo Zhu United States	8	118	102	64	64	60	14	291
Ganzhao Yuan China	8	65 0.6×	180 1.8×	105 1.6×	16 0.3×	6 0.1×	15	321
Gui‐Fu Lu China	11	106 0.9×	300 2.9×	105 1.6×	5 0.1×	11 0.2×	37	372
Nati Srebro United States	9	135 1.1×	86 0.8×	299 4.7×	39 0.6×	37 0.6×	16	414
Chong Peng United States	10	136 1.2×	315 3.1×	210 3.3×	17 0.3×	4 0.1×	17	461
Ying Cui United States	11	143 1.2×	44 0.4×	43 0.7×	7 0.1×	48 0.8×	27	297
Vassilis Kalofolias Switzerland	5	63 0.5×	72 0.7×	113 1.8×	9 0.1×	7 0.1×	6	207
Feihu Huang United States	10	45 0.4×	125 1.2×	164 2.6×	13 0.2×	15 0.3×	24	275
Ming Xiang China	9	42 0.4×	144 1.4×	93 1.5×	16 0.3×	7 0.1×	24	249
Jiechao Xiong China	9	52 0.4×	91 0.9×	87 1.4×	4 0.1×	17 0.3×	17	212
Dejiao Zhang United States	10	48 0.4×	134 1.3×	313 4.9×	12 0.2×	4 0.1×	21	425

Countries citing papers authored by Changbo Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Changbo Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changbo Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Changbo Zhu. A scholar is included among the top collaborators of Changbo Zhu 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 Changbo Zhu. Changbo Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Zhu, Changbo, et al.. (2024). Testing independence for sparse longitudinal data. Biometrika. 111(4). 1187–1199.

Zhu, Changbo, et al.. (2024). Two-sample and change-point inference for non-Euclidean valued time series. Electronic Journal of Statistics. 18(1).

Zhu, Changbo & Hans‐Georg Müller. (2023). Autoregressive optimal transport models. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(3). 1012–1033. 9 indexed citations

Müller, Hans‐Georg, Changbo Zhu, Jane-Ling Wang, et al.. (2023). Network evolution of regional brain volumes in young children reflects neurocognitive scores and mother’s education. Scientific Reports. 13(1). 2984–2984. 2 indexed citations

Zhu, Changbo & Hans‐Georg Müller. (2023). Spherical autoregressive models, with application to distributional and compositional time series. Journal of Econometrics. 239(2). 105389–105389. 5 indexed citations

Zhu, Changbo, Hans‐Georg Müller, Jane‐Ling Wang, et al.. (2023). Trajectories of brain volumes in young children are associated with maternal education. Human Brain Mapping. 44(8). 3168–3179. 3 indexed citations

Zhu, Changbo & Jane-Ling Wang. (2023). Testing homogeneity: the trouble with sparse functional data. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(3). 705–731. 3 indexed citations

Zhu, Changbo, et al.. (2022). Inference for change points in high-dimensional data via selfnormalization. The Annals of Statistics. 50(2). 17 indexed citations

Zhu, Changbo & Xiaofeng Shao. (2021). Interpoint distance based two sample tests in high dimension. Bernoulli. 27(2). 8 indexed citations

10.

Zhu, Changbo, et al.. (2020). Distance-based and RKHS-based dependence metrics in high dimension. The Annals of Statistics. 48(6). 24 indexed citations

11.

Zhu, Changbo, Xinzhou Cheng, Haina Ye, et al.. (2019). 5G Wireless Networks Meet Big Data Challenges, Trends, and Applications. 1513–1516. 29 indexed citations

12.

Zhu, Changbo, Xinzhou Cheng, Lexi Xu, et al.. (2018). A Novel Base Station Analysis Scheme Based on Telecom Big Data. 1076–1081. 32 indexed citations

13.

Lu, Canyi, Changbo Zhu, Chunyan Xu, Shuicheng Yan, & Zhouchen Lin. (2015). Generalized Singular Value Thresholding. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 134 indexed citations

14.

Zhu, Changbo, Huan Xu, Chenlei Leng, & Shuicheng Yan. (2014). Convex Optimization Procedure for Clustering: Theoretical Revisit. Neural Information Processing Systems. 27. 1619–1627. 25 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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