Beibei Yue

438 total citations · 1 hit paper
8 papers, 323 citations indexed

About

Beibei Yue is a scholar working on Marketing, Strategy and Management and Management, Monitoring, Policy and Law. According to data from OpenAlex, Beibei Yue has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 3 papers in Strategy and Management and 3 papers in Management, Monitoring, Policy and Law. Recurrent topics in Beibei Yue's work include Environmental Sustainability in Business (4 papers), Environmental Education and Sustainability (3 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Beibei Yue is often cited by papers focused on Environmental Sustainability in Business (4 papers), Environmental Education and Sustainability (3 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Beibei Yue collaborates with scholars based in China. Beibei Yue's co-authors include Guanghua Sheng, Jiaqi Xu, Shengxiang She, Qing Xia, Yuqi Li, Zhiwei He and Siyu Gong and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Journal of Retailing and Consumer Services.

In The Last Decade

Beibei Yue

7 papers receiving 311 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impact of Consumer Environmental Responsibility on Green Consumption Behavior in China: The Role of Environmental Concern and Price Sensitivity

2020 281 citations Beibei Yue, Guanghua Sheng et al. Sustainability profile →

Peers

Beibei Yue

MARKE

MMPL

SPS

SM

EE

Kavita Sharma India

Deepak Sangroya India

Justina Mandravickaitė Lithuania

Shamila Nabi Khan Pakistan

Hanbing Xue China

Ilma Mufidah Indonesia

S.M. Fatah Uddin India

Shaniel Bernard United States

Eva María González Hernández Mexico

Antonia Delistavrou Greece

Kavita Sharma India

Beibei Yue

250 ×1.0

MARKE

137 ×0.9

MMPL

95 ×1.3

SPS

50 ×0.8

SM

17 ×0.8

EE

Citations per year, relative to Beibei Yue Beibei Yue (= 1×) peers Kavita Sharma

Countries citing papers authored by Beibei Yue

Since Specialization

Citations

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

Fields of papers citing papers by Beibei Yue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Yue

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yue, Beibei, et al.. (2025). The color of status: Effects of logo color on brand status perceptions. Journal of Retailing and Consumer Services. 88. 104564–104564.

2.

Yue, Beibei, et al.. (2023). Thriving in uncertainty: examining the relationship between perceived environmental uncertainty and corporate eco-innovation through the lens of dynamic capabilities. Frontiers in Environmental Science. 11. 2 indexed citations

3.

Yue, Beibei, et al.. (2023). The impact of human-AI collaboration types on consumer evaluation and usage intention: a perspective of responsibility attribution. Frontiers in Psychology. 14. 1277861–1277861. 26 indexed citations

4.

Yue, Beibei, et al.. (2021). Association of “Green”: A Research on the Contingency Mechanism of the Effects of Green Product Packaging Color on Consumers’ Green Purchase Intention. Waiguo jingji yu guanli. 43(5). 91–105. 2 indexed citations

5.

Sheng, Guanghua, Qing Xia, Beibei Yue, & Yuqi Li. (2021). A Study on Green Advertising Effectiveness in the Perspective of Image Proximity. Frontiers in Psychology. 12. 568189–568189. 6 indexed citations

6.

Yue, Beibei, Guanghua Sheng, Shengxiang She, & Jiaqi Xu. (2020). Impact of Consumer Environmental Responsibility on Green Consumption Behavior in China: The Role of Environmental Concern and Price Sensitivity. Sustainability. 12(5). 2074–2074. 281 indexed citations breakdown →

7.

Yue, Beibei, et al.. (2019). Will Enterprise Feedback Promote Green Repeated Consumption Intention? An Empirical Study on the Impact of Post-consumption Value Feedback on Consumers’ Green Repeated Consumption Intention. Waiguo jingji yu guanli. 41(10). 3–16. 2 indexed citations

8.

Yue, Beibei, et al.. (2019). A Research on Consumers' Willingness to Use Shared Bicycles Continuously——Based on the Extended Model of TAM Theory. Journal of Northeastern University. 21(6). 567. 4 indexed citations

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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