Runchu Zhang

1.3k citations
74 papers · 976 indexed · h-index 19
Topics
Optimal Experimental Design Methods (58 papers)Advanced Multi-Objective Optimization Algorithms (37 papers)Statistical Methods in Clinical Trials (21 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Runchu Zhang

69 papers receiving 929 citations

Peers

Runchu Zhang
Comparison fields: 5 of 63
  • Management Science and Operations Research 821
  • Computational Theory and Mathematics 530
  • Statistics and Probability 417
  • Industrial and Manufacturing Engineering 305
  • Electrical and Electronic Engineering 188
Replace Arthur Fries with:
Arthur Fries United States
A. M. Elsawah Egypt
Shengli Zhao China
Viatcheslav B. Melas Russia
K. H. V. Booth United Kingdom
Norbert Gaffke Germany
Ralph L. Disney United States
Michael R. Taaffe United States
Shuming Wang Japan
Soohan Ahn South Korea
Runchu Zhang relative to Arthur Fries United States Arthur Fries's profile →
Citations per field
00.5×5.4×
Arthur Fries · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 6
3 2
4 6
5 7
6 0
7 4
8 20
9 14
10 3
11 4
12 6
13 35
14 9
15 1
16 18
17 11
18 2
19 39
20 19

About Runchu Zhang

Runchu Zhang is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 74 papers that have together received 976 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (58 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Statistical Methods in Clinical Trials (21 papers). The work is most often cited by research in Management Science and Operations Research (821 citations), Statistics and Probability (417 citations) and Computational Theory and Mathematics (530 citations). Runchu Zhang has collaborated with scholars based in China, Canada and United States. Frequent 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. Their work appears in journals such as Biometrika, Journal of Econometrics and Computational Statistics & Data Analysis.

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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