Zhonglai Wang

173 total papers · 2.6k total citations
118 papers, 2.2k citations indexed

About

Zhonglai Wang is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Zhonglai Wang has authored 118 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics, Probability and Uncertainty, 32 papers in Civil and Structural Engineering and 32 papers in Computational Theory and Mathematics. Recurrent topics in Zhonglai Wang's work include Probabilistic and Robust Engineering Design (65 papers), Advanced Multi-Objective Optimization Algorithms (30 papers) and Reliability and Maintenance Optimization (17 papers). Zhonglai Wang is often cited by papers focused on Probabilistic and Robust Engineering Design (65 papers), Advanced Multi-Objective Optimization Algorithms (30 papers) and Reliability and Maintenance Optimization (17 papers). Zhonglai Wang collaborates with scholars based in China, United States and United Kingdom. Zhonglai Wang's co-authors include Hong‐Zhong Huang, Shui Yu, Yu Liu, Ning‐Cong Xiao, Debiao Meng, Shun‐Peng Zhu, Yan‐Feng Li, Liping He, Hong‐Zhong Huang and Kewang Zhang and has published in prestigious journals such as Applied Physics Letters, Nano Energy and Journal of Chromatography A.

In The Last Decade

Zhonglai Wang

113 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhonglai Wang 1.2k 610 550 545 446 118 2.2k
David Moens 1.8k 1.4× 1.4k 2.3× 379 0.7× 474 0.9× 865 1.9× 174 3.1k
Xiaoke Li 525 0.4× 234 0.4× 163 0.3× 409 0.8× 876 2.0× 124 2.6k
Seung-Kyum Choi 772 0.6× 773 1.3× 363 0.7× 423 0.8× 1.1k 2.6× 97 2.8k
Gyung-Jin Park 759 0.6× 1.1k 1.8× 510 0.9× 777 1.4× 717 1.6× 144 2.4k
Michel van Tooren 630 0.5× 502 0.8× 589 1.1× 509 0.9× 592 1.3× 141 2.6k
Matthias G.R. Faes 1.2k 1.0× 774 1.3× 212 0.4× 354 0.6× 314 0.7× 131 1.9k
Masoud Rais‐Rohani 389 0.3× 650 1.1× 369 0.7× 320 0.6× 846 1.9× 106 1.9k
Hyunseok Oh 153 0.1× 171 0.3× 187 0.3× 75 0.1× 536 1.2× 81 1.6k
Zuomin Dong 221 0.2× 138 0.2× 59 0.1× 597 1.1× 553 1.2× 131 2.6k
Jinglai Wu 845 0.7× 836 1.4× 276 0.5× 424 0.8× 607 1.4× 98 2.4k

Countries citing papers authored by Zhonglai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhonglai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonglai Wang

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

All Works

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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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2026