Junyun Liao

1.9k total citations · 3 hit papers
52 papers, 1.3k citations indexed

About

Junyun Liao is a scholar working on Sociology and Political Science, Marketing and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Junyun Liao has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Sociology and Political Science, 35 papers in Marketing and 17 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Junyun Liao's work include Digital Marketing and Social Media (41 papers), Consumer Behavior in Brand Consumption and Identification (27 papers) and Customer Service Quality and Loyalty (15 papers). Junyun Liao is often cited by papers focused on Digital Marketing and Social Media (41 papers), Consumer Behavior in Brand Consumption and Identification (27 papers) and Customer Service Quality and Loyalty (15 papers). Junyun Liao collaborates with scholars based in China, Hong Kong and France. Junyun Liao's co-authors include Minxue Huang, Shiyong Zheng, Xuebing Dong, Yulang Guo, Irina Y. Yu, Ji Li, Haiying Wei, Raffaele Filieri, Muhua Li and Defeng Yang and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Junyun Liao

47 papers receiving 1.2k citations

Hit Papers

Creating immersive and parasocial live shopping experienc... 2022 2026 2023 2024 2022 2022 2022 40 80 120

Peers

Junyun Liao
Comparison fields: 5 of 69
  • Sociology and Political Science 920
  • Marketing 717
  • Information Systems and Management 428
  • Organizational Behavior and Human Resource Management 286
  • Communication 105
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Citations per field, relative to Junyun Liao
Junyun Liao · 1×
Citations per year, relative to Junyun Liao
Junyun Liao · 1×

Countries citing papers authored by Junyun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Junyun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyun Liao

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 0
4 8
5 1
6 6
7 8
8 2
9 5
10 27
11 16
12 4
13 27
14 6
15 4
16 71
17
The impact of destination live streaming on viewers’ travel intention breakdown →
84
18 22
19 22
20
Network Evolution of Transactional Community: A Different Network Closure Mechanism from Social Network
1

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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