Jianjun Wang

57 total papers · 902 total citations
41 papers, 728 citations indexed

About

Jianjun Wang is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jianjun Wang has authored 41 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 14 papers in Computational Theory and Mathematics and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jianjun Wang's work include Optimal Experimental Design Methods (19 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Probabilistic and Robust Engineering Design (10 papers). Jianjun Wang is often cited by papers focused on Optimal Experimental Design Methods (19 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Probabilistic and Robust Engineering Design (10 papers). Jianjun Wang collaborates with scholars based in China, Canada and United States. Jianjun Wang's co-authors include Yizhong Ma, Wing‐Ho Yung, Yiliu Tu, Linhan Ouyang, YS Chan, Bkc Chow, Jing‐Ning Zhu, Hongzhao Li, Jai‐Hyun Byun and Yu‐Feng Zang and has published in prestigious journals such as Current Biology, Brain Research and European Journal of Operational Research.

In The Last Decade

Jianjun Wang

40 papers receiving 710 citations

Author Peers

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

Author Last Decade Papers Cites
Jianjun Wang 176 161 158 152 125 41 728
Qin Jiang 22 0.1× 91 0.6× 14 0.1× 37 0.2× 25 0.2× 43 636
Aleksandar Kovačević 39 0.2× 203 1.3× 31 0.2× 11 0.1× 12 0.1× 55 808
Cathalijn H. C. Leenaars 3 0.0× 185 1.1× 124 0.8× 38 0.3× 25 0.2× 51 785
Hiroki Yanagisawa 61 0.3× 194 1.2× 11 0.1× 71 0.5× 29 0.2× 28 773
Qin Song 10 0.1× 31 0.2× 8 0.1× 33 0.2× 57 0.5× 50 799
Chittaranjan Pradhan 24 0.1× 84 0.5× 8 0.1× 29 0.2× 121 1.0× 76 901
Nancy Hall 59 0.3× 173 1.1× 105 0.7× 11 0.1× 2 0.0× 53 780
Farzad V. Farahani 23 0.1× 518 3.2× 25 0.2× 20 0.1× 45 0.4× 22 888
Lichao Chen 10 0.1× 450 2.8× 248 1.6× 15 0.1× 39 0.3× 59 857
K. Akazawa 39 0.2× 388 2.4× 14 0.1× 5 0.0× 110 0.9× 38 749

Countries citing papers authored by Jianjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Wang. A scholar is included among the top collaborators of Jianjun 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 Jianjun Wang. Jianjun 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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