Runchu Zhang

1.3k total citations
74 papers, 976 citations indexed

About

Runchu Zhang is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Runchu Zhang has authored 74 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Management Science and Operations Research, 37 papers in Computational Theory and Mathematics and 32 papers in Statistics and Probability. Recurrent topics in Runchu Zhang's work include Optimal Experimental Design Methods (58 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Statistical Methods in Clinical Trials (21 papers). Runchu Zhang is often cited by papers focused on Optimal Experimental Design Methods (58 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Statistical Methods in Clinical Trials (21 papers). Runchu Zhang collaborates with scholars based in China, Canada and United States. Runchu Zhang's co-authors include Min‐Qian Liu, Mingyao Ai, Cheng Yi, Rahul Mukerjee, Shengli Zhao, C. F. Jeff Wu, Yukun Liu, Pengfei Li, Zhiming Li and Jiahua Chen and has published in prestigious journals such as Biometrika, Journal of Econometrics and Computational Statistics & Data Analysis.

In The Last Decade

Runchu Zhang

69 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runchu Zhang China 19 821 530 417 305 188 74 976
A. M. Elsawah Egypt 18 513 0.6× 492 0.9× 89 0.2× 194 0.6× 59 0.3× 68 691
Arthur Fries United States 8 527 0.6× 356 0.7× 310 0.7× 173 0.6× 115 0.6× 12 713
Shengli Zhao China 12 285 0.3× 186 0.4× 141 0.3× 76 0.2× 45 0.2× 54 366
Norbert Gaffke Germany 14 275 0.3× 215 0.4× 125 0.3× 51 0.2× 38 0.2× 40 481
Viatcheslav B. Melas Russia 18 505 0.6× 402 0.8× 140 0.3× 170 0.6× 17 0.1× 65 711
Ralph L. Disney United States 19 326 0.4× 82 0.2× 120 0.3× 131 0.4× 84 0.4× 50 803
K. H. V. Booth United Kingdom 6 341 0.4× 265 0.5× 57 0.1× 165 0.5× 33 0.2× 8 422
Michael R. Taaffe United States 13 200 0.2× 57 0.1× 148 0.4× 46 0.2× 45 0.2× 25 535
Soohan Ahn South Korea 12 270 0.3× 50 0.1× 173 0.4× 38 0.1× 39 0.2× 37 555
Jonas Ide Germany 6 301 0.4× 260 0.5× 104 0.2× 30 0.1× 33 0.2× 6 467

Countries citing papers authored by Runchu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Runchu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runchu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Runchu Zhang. A scholar is included among the top collaborators of Runchu Zhang 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 Runchu Zhang. Runchu Zhang 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.
Wang, Yanfei, Zhiming Li, & Runchu Zhang. (2019). Three-level blocked regular designs with general minimum lower order confounding. Communication in Statistics- Theory and Methods. 49(10). 2498–2513. 2 indexed citations
2.
Teng, Zhidong, et al.. (2017). Construction of some 3n-m regular designs with general minimum lower order confounding. Journal of Statistical Theory and Practice. 12(2). 336–355. 6 indexed citations
3.
Guo, Bing, et al.. (2014). On construction of blocked general minimum lower-order confounding 2n−m:2r designs with N/4+1≤n≤5N/16. Journal of Complexity. 31(1). 98–109. 2 indexed citations
4.
Yang, Jian‐Feng, Runchu Zhang, & Min‐Qian Liu. (2013). Construction of Optimal Blocking Schemes for Robust Parameter Designs. Acta Mathematica Scientia. 33(5). 1431–1438. 4 indexed citations
5.
Zhang, Runchu & Rahul Mukerjee. (2013). Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure. Statistical Applications in Genetics and Molecular Biology. 12(4). 489–503. 6 indexed citations
6.
Zhao, Shengli, Pengfei Li, Runchu Zhang, & Rohana J. Karunamuni. (2013). Construction of blocked two-level regular designs with general minimum lower order confounding. Journal of Statistical Planning and Inference. 143(6). 1082–1090. 20 indexed citations
7.
Zhang, Runchu, et al.. (2013). Blocked Two-Level Regular Designs With General Minimum Lower Order Confounding. Journal of Statistical Theory and Practice. 8(1). 46–65. 15 indexed citations
8.
Balakrishnan, N., et al.. (2013). The factor aliased effect number pattern and its application in experimental planning. Canadian Journal of Statistics. 41(3). 540–555. 7 indexed citations
9.
Zhang, Runchu & Rahul Mukerjee. (2012). Minimum Aberration Designs for Two-Level Factorials in N =1 (Mod 4) Runs. Statistica Sinica. 4 indexed citations
10.
Zou, Changliang, Yukun Liu, Zhaojun Wang, & Runchu Zhang. (2010). Adaptive Nonparametric Comparison of Regression Curves. Communication in Statistics- Theory and Methods. 39(7). 1299–1320. 6 indexed citations
11.
Yi, Cheng & Runchu Zhang. (2010). On construction of general minimum lower order confounding 2n−m designs with. Journal of Statistical Planning and Inference. 140(9). 2384–2394. 35 indexed citations
12.
Yang, Jian‐Feng, Min‐Qian Liu, & Runchu Zhang. (2009). Some Results on Fractional Factorial Split-Plot Designs with Multi-Level Factors. Communication in Statistics- Theory and Methods. 38(20). 3623–3633. 9 indexed citations
13.
Zi, Xuemin, Runchu Zhang, & Min‐Qian Liu. (2006). Bounds on the maximum numbers of clear two-factor interactions for $$2^{(n_1 + n_2 ) - (k_1 + k_2 )} $$ fractional factorial split-plot designs. Science in China Series A Mathematics. 49(12). 1816–1829. 18 indexed citations
14.
Ai, Mingyao & Runchu Zhang. (2006). Minimum secondary aberration fractional factorial split-plot designs in terms of consulting designs. Science in China Series A Mathematics. 49(4). 494–512. 11 indexed citations
15.
Wu, Chang-Chun & Runchu Zhang. (2006). An Information-theoretic Approach to the Effective Usage of Auxiliary Information from Survey Data. Annals of the Institute of Statistical Mathematics. 58(3). 499–509. 2 indexed citations
16.
Zhang, Qiaozhen, Runchu Zhang, & Min‐Qian Liu. (2006). A method for screening active effects in supersaturated designs. Journal of Statistical Planning and Inference. 137(6). 2068–2079. 39 indexed citations
17.
Wu, Chang-Chun & Runchu Zhang. (2005). Empirical Likelihood Inference Under Stratified Random Sampling in the Presence of Measurement Error. Acta Mathematicae Applicatae Sinica English Series. 21(3). 429–440. 1 indexed citations
18.
Ai, Mingyao & Runchu Zhang. (2004). Multistratum fractional factorial split-plot designs with minimum aberration and maximum estimation capacity. Statistics & Probability Letters. 69(2). 161–170. 23 indexed citations
19.
Ai, Mingyao, Guijun Yang, & Runchu Zhang. (2004). Minimum aberration blocking of regular mixed factorial designs. Journal of Statistical Planning and Inference. 136(4). 1493–1511. 4 indexed citations
20.
Lin, Lu & Runchu Zhang. (2001). Blockwise empirical Euclidean likelihood for weakly dependent processes. Statistics & Probability Letters. 53(2). 143–152. 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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