Ling Zhao

4.6k total citations · 4 hit papers
33 papers, 3.5k citations indexed

About

Ling Zhao is a scholar working on Sociology and Political Science, Information Systems and Management and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Ling Zhao has authored 33 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Sociology and Political Science, 23 papers in Information Systems and Management and 9 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Ling Zhao's work include Technology Adoption and User Behaviour (23 papers), Digital Marketing and Social Media (18 papers) and Customer Service Quality and Loyalty (9 papers). Ling Zhao is often cited by papers focused on Technology Adoption and User Behaviour (23 papers), Digital Marketing and Social Media (18 papers) and Customer Service Quality and Loyalty (9 papers). Ling Zhao collaborates with scholars based in China, India and United States. Ling Zhao's co-authors include Yaobin Lu, Bin Wang, Sumeet Gupta, Hong Zhang, Patrick Y.K. Chau, Long Zhang, Shuwei Zhang, Jun Yang, Hong Zhang and Wayne Huang and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Computers in Human Behavior.

In The Last Decade

Ling Zhao

31 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

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.

What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences

2014 625 citations Hong Zhang, Yaobin Lu et al. Information & Management profile →
From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention

2009 491 citations Yaobin Lu, Ling Zhao et al. profile →
Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services

2016 463 citations Shuwei Zhang, Ling Zhao et al. Information & Management profile →
The double-edged sword effect of algorithmic transparency: An empirical study of gig workers’ work disengagement under algorithmic management

2025 13 citations Ling Zhao et al. Information & Management profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Zhao China	20	2.6k	1.8k	1.0k	814	521	33	3.5k
Heshan Sun United States	19	1.6k 0.6×	1.7k 0.9×	654 0.6×	609 0.7×	386 0.7×	72	2.9k
Andrew J. Rohm United States	27	2.7k 1.0×	1.5k 0.8×	1.6k 1.6×	649 0.8×	418 0.8×	34	3.9k
Dianne Cyr Canada	27	2.7k 1.0×	2.2k 1.2×	1.5k 1.5×	1.5k 1.8×	346 0.7×	58	4.5k
Chun‐Sheng Yu United States	17	2.1k 0.8×	2.4k 1.3×	680 0.7×	707 0.9×	319 0.6×	25	3.6k
Kuo‐Lun Hsiao Taiwan	25	1.6k 0.6×	1.3k 0.7×	738 0.7×	414 0.5×	286 0.5×	41	2.5k
Xiaolin Lin United States	26	2.0k 0.8×	1.3k 0.7×	862 0.9×	490 0.6×	427 0.8×	58	2.8k
Man Kit Chang Hong Kong	20	1.6k 0.6×	1.4k 0.8×	957 0.9×	539 0.7×	302 0.6×	34	3.0k
Raj Agnihotri United States	31	2.0k 0.8×	1.4k 0.8×	1.1k 1.1×	1.8k 2.2×	551 1.1×	78	4.0k
Paul Harrigan Australia	32	2.7k 1.0×	1.2k 0.6×	1.6k 1.6×	965 1.2×	396 0.8×	74	3.8k
Kem Z.K. Zhang China	30	2.6k 1.0×	1.7k 0.9×	1.3k 1.3×	603 0.7×	352 0.7×	56	3.7k

Countries citing papers authored by Ling Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Ling Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Zhao

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

20 of 20 papers shown

Zhao, Ling, et al.. (2025). The double-edged sword effect of algorithmic transparency: An empirical study of gig workers’ work disengagement under algorithmic management. Information & Management. 62(2). 104100–104100. 13 indexed citations breakdown →

Cao, Cuicui, et al.. (2025). New inequality in equality: An empirical study on the effects of device and physical environment appropriateness divide on E-learning outcomes. Technological Forecasting and Social Change. 219. 124256–124256.

Zhao, Ling, et al.. (2024). How Users' Personality Traits Predict Sentiment Tendencies of User‐Generated Content in Social Media: A Mixed Method of Configuration Analysis and Machine Learning. Journal of Personality. 93(5). 1175–1188.

Zhou, Hong, Yaobin Lu, Ling Zhao, Bin Wang, & Ting Li. (2023). Effective reporting system to encourage users’ reporting behavior in social media platforms: an empirical study based on structural empowerment theory. Behaviour and Information Technology. 43(14). 3490–3509. 2 indexed citations

Zhao, Ling, et al.. (2021). Determinants of the digital outcome divide in E-learning between rural and urban students: Empirical evidence from the COVID-19 pandemic based on capital theory. Computers in Human Behavior. 130. 107177–107177. 61 indexed citations

Hu, Yingying, Ling Zhao, Xin Luo, Sumeet Gupta, & Xiuhong He. (2021). Trialing or combining? Understanding consumer partial switching in mobile application usage from the variety seeking perspective. Internet Research. 31(5). 1769–1802. 19 indexed citations

Zhao, Ling, et al.. (2021). Research on online education consumer choice behavior path based on informatization. China Communications. 18(10). 233–252. 4 indexed citations

Fan, Si, Yaobin Lu, Ling Zhao, & Zhao Pan. (2017). You Are Not Alone: the Impacts of Danmu Technological Features And Co-experience On Consumer Video Watching Behavior. Journal of the Association for Information Systems. 85. 4 indexed citations

Hu, Yingying, et al.. (2017). Why Consumers Need Diversity? Understanding Consumers' Multiple Usage of Competing Mobile Applications from a Variety-seeking Perspective. Journal of the Association for Information Systems. 167. 2 indexed citations

10.

Yang, Jun, et al.. (2017). Enhancing customer brand experience and loyalty through enterprise microblogs. Information Technology and People. 30(3). 580–601. 21 indexed citations

11.

Zhang, Shuwei, Ling Zhao, Yaobin Lu, & Jun Yang. (2015). Get tired of socializing as social animal? An empirical explanation on discontinuous usage behavior in social network services. Journal of the Association for Information Systems. 125. 18 indexed citations

12.

Jiang, Guoyin, Pandu R. Tadikamalla, Jennifer Shang, & Ling Zhao. (2015). Impacts of knowledge on online brand success: an agent-based model for online market share enhancement. European Journal of Operational Research. 248(3). 1093–1103. 36 indexed citations

13.

Zhang, Hong, et al.. (2014). Understanding the antecedents of customer loyalty in the Chinese mobile service industry: a push-pull-mooring framework. International Journal of Mobile Communications. 12(6). 551–551. 28 indexed citations

14.

Zhang, Hong, Yaobin Lu, Sumeet Gupta, & Ling Zhao. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information & Management. 51(8). 1017–1030. 625 indexed citations breakdown →

15.

Chen, Aihui, Yaobin Lu, Bin Wang, Ling Zhao, & Ming Li. (2013). What drives content creation behavior on SNSs? A commitment perspective. Journal of Business Research. 66(12). 2529–2535. 82 indexed citations

16.

Zhao, Ling & Yaobin Lu. (2012). Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention. Decision Support Systems. 53(4). 825–834. 341 indexed citations

17.

Zhao, Ling, Yaobin Lu, & Sumeet Gupta. (2012). Disclosure Intention of Location-Related Information in Location-Based Social Network Services. International Journal of Electronic Commerce. 16(4). 53–90. 195 indexed citations

18.

Zhao, Ling, Yaobin Lu, Long Zhang, & Patrick Y.K. Chau. (2011). Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: An empirical test of a multidimensional model. Decision Support Systems. 52(3). 645–656. 270 indexed citations

19.

Zhao, Ling & Yaobin Lu. (2010). Perceived Interactivity: Exploring Factors Affecting Micro-Blogging Service Satisfaction and Continuance Intention. Journal of the Association for Information Systems. 93. 9 indexed citations

20.

Zhang, Jinlong, et al.. (2009). Customer Satisfaction and Loyalty of Mobile Services. 115–119. 2 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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