Yongdao Zhou

1.1k total citations
52 papers, 688 citations indexed

About

Yongdao Zhou is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yongdao Zhou has authored 52 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Management Science and Operations Research, 26 papers in Computational Theory and Mathematics and 15 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yongdao Zhou's work include Optimal Experimental Design Methods (32 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Manufacturing Process and Optimization (15 papers). Yongdao Zhou is often cited by papers focused on Optimal Experimental Design Methods (32 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Manufacturing Process and Optimization (15 papers). Yongdao Zhou collaborates with scholars based in China, United States and Hong Kong. Yongdao Zhou's co-authors include Hongquan Xu, Kai‐Tai Fang, Min‐Qian Liu, Kai‐Tai Fang, Hong Qin, Feng Yang, Boxin Tang, Xueru Zhang, Aijun Zhang and Wen Chen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Yongdao Zhou

47 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongdao Zhou China 15 447 377 254 168 77 52 688
D. Huang United States 3 307 0.7× 517 1.4× 50 0.2× 257 1.5× 19 0.2× 3 734
Emmanuel Vázquez France 11 307 0.7× 530 1.4× 25 0.1× 366 2.2× 29 0.4× 24 848
Tobias Wagner Germany 12 183 0.4× 428 1.1× 63 0.2× 126 0.8× 32 0.4× 31 657
Robert R. Sandusky United States 8 81 0.2× 296 0.8× 114 0.4× 200 1.2× 18 0.2× 11 576
S. Tosserams Netherlands 11 58 0.1× 231 0.6× 88 0.3× 144 0.9× 123 1.6× 15 568
M.A. Styblinski United States 12 128 0.3× 124 0.3× 54 0.2× 114 0.7× 333 4.3× 54 641
Stefan Vigerske Germany 14 78 0.2× 148 0.4× 51 0.2× 30 0.2× 148 1.9× 31 582
Julien Bect France 10 225 0.5× 370 1.0× 14 0.1× 292 1.7× 30 0.4× 26 606
Lucas Bradstreet Australia 10 132 0.3× 484 1.3× 38 0.1× 60 0.4× 21 0.3× 12 573
Rafail N. Gasimov Türkiye 13 119 0.3× 221 0.6× 70 0.3× 5 0.0× 35 0.5× 16 482

Countries citing papers authored by Yongdao Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yongdao Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongdao Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yongdao Zhou. A scholar is included among the top collaborators of Yongdao Zhou 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 Yongdao Zhou. Yongdao Zhou 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.
Cao, Xuefei, Shijia Wang, & Yongdao Zhou. (2024). Using Early Rejection Markov Chain Monte Carlo and Gaussian Processes to Accelerate ABC Methods. Journal of Computational and Graphical Statistics. 34(2). 395–408. 2 indexed citations
2.
Zhou, Yongdao, et al.. (2024). Reducing the statistical error of generative adversarial networks using space‐filling sampling. Stat. 13(1). 1 indexed citations
3.
Zhou, Yongdao, et al.. (2024). Minimum $$\theta $$-aberration criterion for designs with qualitative and quantitative factors. Metrika. 88(1). 99–117. 1 indexed citations
4.
Ju, Wei, Yifang Qin, Xiao Luo, et al.. (2023). Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18313–18327. 22 indexed citations
5.
Ju, Wei, et al.. (2023). Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Transactions on Big Data. 9(6). 1683–1696. 8 indexed citations
6.
Yang, Liuqing, Yongdao Zhou, & Min‐Qian Liu. (2023). Ordering factorial experiments. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(3). 869–885. 4 indexed citations
7.
Yang, Liuqing, et al.. (2023). Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs. Journal of the American Statistical Association. 119(547). 2294–2304. 2 indexed citations
8.
Liu, Ze, et al.. (2023). Deterministic construction methods for uniform designs. Journal of Statistical Planning and Inference. 226. 30–38. 2 indexed citations
9.
Gao, Yanping, et al.. (2022). Maximin L1-distance Range-fixed Level-augmented designs. Statistics & Probability Letters. 186. 109470–109470.
10.
Zhang, Xueru, Min‐Qian Liu, & Yongdao Zhou. (2019). Orthogonal uniform composite designs. Journal of Statistical Planning and Inference. 206. 100–110. 12 indexed citations
11.
Zhou, Yongdao, et al.. (2017). Representative points for location-biased datasets. Communications in Statistics - Simulation and Computation. 48(2). 458–471. 4 indexed citations
12.
Zhou, Yongdao, et al.. (2016). Spherical discrepancy for designs on hyperspheres. Statistics & Probability Letters. 119. 226–234. 1 indexed citations
13.
Zhou, Yongdao & Hongquan Xu. (2015). Space-filling properties of good lattice point sets. Biometrika. 102(4). 959–966. 47 indexed citations
14.
Zhou, Yongdao, et al.. (2012). Mixture discrepancy for quasi-random point sets. Journal of Complexity. 29(3-4). 283–301. 86 indexed citations
15.
Zhou, Yongdao & Kai‐Tai Fang. (2012). An efficient method for constructing uniform designs with large size. Computational Statistics. 28(3). 1319–1331. 19 indexed citations
16.
Fang, Kai‐Tai, et al.. (2011). Uniform Design for Experiments with Mixtures. Communication in Statistics- Theory and Methods. 40(10). 1734–1742. 14 indexed citations
17.
Zhou, Yongdao, et al.. (2011). Constructing uniform designs: A heuristic integer programming method. Journal of Complexity. 28(2). 224–237. 10 indexed citations
18.
Zhou, Yongdao, et al.. (2007). Local polynomial estimator for narrowband interference suppression in TH-UWB systems. Wireless Personal Communications. 43(4). 1379–1388. 1 indexed citations
19.
Zhou, Yongdao, et al.. (2007). Lower bounds of the wrap-around -discrepancy and relationships between MLHD and uniform design with a large size. Journal of Statistical Planning and Inference. 138(8). 2330–2339. 22 indexed citations
20.
Li, Zhi, Hong Ma, & Yongdao Zhou. (2006). A Unifying Method for Outlier and Change Detection from Data Streams. 580–585. 4 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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