Liuning Zhou

439 total citations
9 papers, 304 citations indexed

About

Liuning Zhou is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Liuning Zhou has authored 9 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Sociology and Political Science, 6 papers in Information Systems and Management and 5 papers in Marketing. Recurrent topics in Liuning Zhou's work include Digital Marketing and Social Media (7 papers), Technology Adoption and User Behaviour (6 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Liuning Zhou is often cited by papers focused on Digital Marketing and Social Media (7 papers), Technology Adoption and User Behaviour (6 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Liuning Zhou collaborates with scholars based in United States, China and Hong Kong. Liuning Zhou's co-authors include Hongwei Yang, Xi Liu, Song Su, J. C. Huang, Liu Hui, Jack Linchuan Qiu and Wu Li and has published in prestigious journals such as Frontiers in Psychology, Journal of Interactive Marketing and International Journal of Human-Computer Interaction.

In The Last Decade

Liuning Zhou

9 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Liuning Zhou United States	7	242	143	136	45	39	9	304
Bela Florenthal United States	9	189 0.8×	105 0.7×	95 0.7×	42 0.9×	41 1.1×	15	276
Ralph Keng-Jung Yeh Taiwan	7	273 1.1×	131 0.9×	208 1.5×	77 1.7×	59 1.5×	9	364
Melanie Dempsey Canada	4	368 1.5×	183 1.3×	103 0.8×	65 1.4×	89 2.3×	4	435
Joo Jihyuk Taiwan	5	209 0.9×	78 0.5×	189 1.4×	36 0.8×	34 0.9×	15	310
Zainah Qasem Jordan	5	269 1.1×	170 1.2×	180 1.3×	83 1.8×	24 0.6×	7	373
Dogá Istanbulluoglu United Kingdom	6	238 1.0×	163 1.1×	85 0.6×	90 2.0×	38 1.0×	11	351
Rajendra Mulye Australia	9	159 0.7×	162 1.1×	50 0.4×	72 1.6×	17 0.4×	17	306
Sung Wook Shim South Korea	6	262 1.1×	238 1.7×	178 1.3×	132 2.9×	81 2.1×	22	488
Jason Weismueller Australia	3	345 1.4×	169 1.2×	101 0.7×	34 0.8×	49 1.3×	5	408
Elaine Leong Germany	10	123 0.5×	77 0.5×	55 0.4×	30 0.7×	17 0.4×	19	338

Countries citing papers authored by Liuning Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Liuning Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liuning Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Liuning Zhou. A scholar is included among the top collaborators of Liuning Zhou 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 Liuning Zhou. Liuning Zhou 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:

9 of 9 papers shown

1.

Li, Wu, et al.. (2022). Reading prosocial content in books and adolescents’ prosocial behavior: A moderated mediation model with evidence from China. Frontiers in Psychology. 13. 973481–973481. 3 indexed citations

2.

Li, Wu, et al.. (2021). The Impact of Interactivity on User Satisfaction in Digital Social Reading: Social Presence as a Mediator. International Journal of Human-Computer Interaction. 37(17). 1636–1647. 24 indexed citations

3.

Zhou, Liuning, et al.. (2016). Negative Effects of Brand Familiarity and Brand Relevance on Effectiveness of Viral Advertisements. Social Behavior and Personality An International Journal. 44(7). 1151–1162. 4 indexed citations

4.

Huang, J. C., Song Su, Liuning Zhou, & Xi Liu. (2012). Attitude toward the Viral Ad: Expanding Traditional Advertising Models to Interactive Advertising. Journal of Interactive Marketing. 27(1). 36–46. 105 indexed citations

5.

Yang, Hongwei, et al.. (2012). Predicting Young American and Chinese Consumers’ Mobile Viral Attitudes, Intents, and Behavior. Journal of International Consumer Marketing. 24(1-2). 24–42. 21 indexed citations

6.

Yang, Hongwei & Liuning Zhou. (2011). Extending TPB and TAM to mobile viral marketing: An exploratory study on American young consumers’ mobile viral marketing attitude, intent and behavior. Journal of Targeting Measurement and Analysis for Marketing. 19(2). 85–98. 72 indexed citations

7.

Yang, Hongwei, Liu Hui, & Liuning Zhou. (2011). Predicting young Chinese consumers' mobile viral attitudes, intents and behavior. Asia Pacific Journal of Marketing and Logistics. 24(1). 59–77. 50 indexed citations

8.

Yang, Hongwei, et al.. (2010). Predicting Chinese young consumers’ acceptance of mobile advertising: a structural equation modeling approach. Chinese Journal of Communication. 3(4). 435–452. 6 indexed citations

9.

Qiu, Jack Linchuan & Liuning Zhou. (2005). Through the Prism of the Internet Cafe. China Information. 19(2). 261–297. 19 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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