Shengli Zhao

558 citations
54 papers · 366 indexed · h-index 12
Topics
Optimal Experimental Design Methods (43 papers)Advanced Multi-Objective Optimization Algorithms (24 papers)Statistical Methods in Clinical Trials (21 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Shengli Zhao

44 papers receiving 357 citations

Peers

Shengli Zhao
Comparison fields: 5 of 48
  • Management Science and Operations Research 285
  • Computational Theory and Mathematics 186
  • Statistics and Probability 141
  • Industrial and Manufacturing Engineering 76
  • Electrical and Electronic Engineering 45
Replace Arthur Fries with:
Arthur Fries United States
Runchu Zhang China
K. H. V. Booth United Kingdom
Jane N. Hagstrom United States
Raymond Marie France
Shinkoh Okada Japan
Mahbanoo Tata Iran
Donghai He United States
Corinne Lucet France
Armin Heindl Germany
Shengli Zhao relative to Arthur Fries United States Arthur Fries's profile →
Citations per field
00.5×3.8×
Arthur Fries · 1×
Citations per year

Countries citing papers authored by Shengli Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shengli Zhao. A scholar is included among the top collaborators of Shengli Zhao 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 Shengli Zhao. Shengli Zhao 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
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About Shengli Zhao

Shengli Zhao is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 54 papers that have together received 366 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (43 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Statistical Methods in Clinical Trials (21 papers). The work is most often cited by research in Management Science and Operations Research (285 citations), Statistics and Probability (141 citations) and Computational Theory and Mathematics (186 citations). Shengli Zhao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Runchu Zhang, Min‐Qian Liu, Xiangfei Chen, Qianqian Zhao, Zhiming Li, Pengfei Li, Shuquan Li, Yan Liu, Rohana J. Karunamuni and Jianxin Wang. Their work appears in journals such as Biometrika, Biostatistics and Journal of Statistical Planning and Inference.

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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