Kuan‐Ju Chen

65 total papers · 1.1k total citations
39 papers, 781 citations indexed

About

Kuan‐Ju Chen is a scholar working on Sociology and Political Science, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Kuan‐Ju Chen has authored 39 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 10 papers in Applied Mathematics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Kuan‐Ju Chen's work include Nonlinear Partial Differential Equations (10 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Digital Marketing and Social Media (9 papers). Kuan‐Ju Chen is often cited by papers focused on Nonlinear Partial Differential Equations (10 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Digital Marketing and Social Media (9 papers). Kuan‐Ju Chen collaborates with scholars based in Taiwan, United States and Guam. Kuan‐Ju Chen's co-authors include Jhih-Syuan Lin, Shan Yan, Raluca Cozma, Yongjun Sung, Jooyoung Kim, Sheng-Tun Li, Thomas L. Marsh, Peter R. Tozer, Suzette P. Galinato and Jeng‐Shiung Jan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Colloid and Interface Science.

In The Last Decade

Kuan‐Ju Chen

38 papers receiving 748 citations

Hit Papers

When social media influen... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. When social media influencers endorse brands: the effects of self-influencer congruence, parasocial identification, and perceived endorser motive
    2019 257 citations Shan Yan, Kuan‐Ju Chen et al. International Journal of Advertising profile →

Author Peers

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

Author Last Decade Papers Cites
Kuan‐Ju Chen 486 260 117 109 104 39 781
Atefeh Yazdanparast 443 0.9× 441 1.7× 101 0.9× 55 0.5× 142 1.4× 39 890
Yuhua Liang 336 0.7× 83 0.3× 56 0.5× 102 0.9× 57 0.5× 30 809
Adam J. Mills 281 0.6× 136 0.5× 27 0.2× 82 0.8× 69 0.7× 42 689
Leyla Dogruel 408 0.8× 59 0.2× 74 0.6× 136 1.2× 121 1.2× 55 721
Seeun Kim 426 0.9× 370 1.4× 55 0.5× 17 0.2× 217 2.1× 52 840
Jbid Arsenyan 319 0.7× 146 0.6× 132 1.1× 38 0.3× 63 0.6× 20 680
Chang‐Hyun Jin 407 0.8× 321 1.2× 34 0.3× 95 0.9× 250 2.4× 52 824
Liu Fan 365 0.8× 317 1.2× 28 0.2× 46 0.4× 186 1.8× 31 861
Jihye Kim 513 1.1× 292 1.1× 91 0.8× 55 0.5× 132 1.3× 37 703
Péter Nagy 395 0.8× 79 0.3× 58 0.5× 194 1.8× 47 0.5× 35 804

Countries citing papers authored by Kuan‐Ju Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ju Chen. 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 Kuan‐Ju Chen. The network helps show where Kuan‐Ju Chen may publish in the future.

Co-authorship network of co-authors of Kuan‐Ju Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan‐Ju Chen. A scholar is included among the top collaborators of Kuan‐Ju Chen 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 Kuan‐Ju Chen. Kuan‐Ju Chen 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