Shubin Yu

59 total papers · 1.8k total citations
35 papers, 1.2k citations indexed

About

Shubin Yu is a scholar working on Marketing, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Shubin Yu has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Marketing, 14 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Shubin Yu's work include Consumer Behavior in Brand Consumption and Identification (18 papers), Digital Marketing and Social Media (12 papers) and AI in Service Interactions (6 papers). Shubin Yu is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (18 papers), Digital Marketing and Social Media (12 papers) and AI in Service Interactions (6 papers). Shubin Yu collaborates with scholars based in China, Norway and Belgium. Shubin Yu's co-authors include Muhammad Ashfaq, Yun Jiang, Sandra María Correia Loureiro, Liselot Hudders, Veroline Cauberghe, Luming Zhao, Hao Shen, Qian Li, Jianhong Kang and Hong Liu and has published in prestigious journals such as Journal of Business Research, Advanced Science and International Journal of Environmental Research and Public Health.

In The Last Decade

Shubin Yu

32 papers receiving 1.1k citations

Hit Papers

I, Chatbot: Modeling the ... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shubin Yu 572 493 381 346 153 35 1.2k
Emi Moriuchi 525 0.9× 343 0.7× 407 1.1× 349 1.0× 105 0.7× 41 948
Vignesh Yoganathan 722 1.3× 420 0.9× 513 1.3× 201 0.6× 263 1.7× 30 1.4k
Christian Hildebrand 422 0.7× 296 0.6× 416 1.1× 134 0.4× 187 1.2× 48 1.2k
Sang Jin Kim 760 1.3× 431 0.9× 741 1.9× 271 0.8× 100 0.7× 28 1.4k
Brahim Zarouali 748 1.3× 357 0.7× 262 0.7× 194 0.6× 71 0.5× 34 1.1k
Martin Adam 433 0.8× 541 1.1× 206 0.5× 193 0.6× 162 1.1× 89 1.3k
Heetae Yang 619 1.1× 290 0.6× 407 1.1× 623 1.8× 106 0.7× 17 1.3k
Veena Chattaraman 603 1.1× 295 0.6× 670 1.8× 288 0.8× 255 1.7× 44 1.3k
Dezhi Yin 619 1.1× 292 0.6× 290 0.8× 177 0.5× 79 0.5× 25 916
Janice Tsai 1.0k 1.8× 564 1.1× 249 0.7× 322 0.9× 94 0.6× 30 1.5k

Countries citing papers authored by Shubin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shubin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubin Yu

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