Yaobin Lu
Impact in
- Information Systems and Management top 0.01%
- Technology Adoption and User Behaviour
- Marketing top 0.1%
- Consumer Retail Behavior Studies
- Consumer Behavior in Brand Consumption and Identification
Papers in
-
- Digital Marketing and Social Media 97
- Impact of Technology on Adolescents 16
-
- Technology Adoption and User Behaviour 97
- Co-authors
- Bin Wang (39 shared papers)Ling Zhao (21 shared papers)Tao Zhou (10 shared papers)Sumeet Gupta (32 shared papers)Patrick Y.K. Chau (9 shared papers)Shuiqing Yang (8 shared papers)Yuzhi Cao (5 shared papers)Zhaohua Deng (9 shared papers)
- Journals
- Computers in Human Behavior (13 papers)International Journal of Mobile Communications (10 papers)Information & Management (10 papers)Journal of the Association for Information Systems (9 papers)Information Technology and People (7 papers)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Yaobin Lu
162 papers receiving 11.4k citations
Yaobin Lu's Hit Papers
Peers
Comparison fields: 5 of 141
- Information Systems and Management 6.8k
- Marketing 3.6k
- Organizational Behavior and Human Resource Management 3.1k
- Sociology and Political Science 7.5k
- Communication 1.1k
Countries citing papers authored by Yaobin Lu
This map shows the geographic impact of Yaobin Lu'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 Yaobin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaobin Lu more than expected).
Fields of papers citing papers by Yaobin Lu
This network shows the impact of papers produced by Yaobin Lu. 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 Yaobin Lu. The network helps show where Yaobin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaobin Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrating TTF and UTAUT to explain mobile banking user adoption Hit paper breakdown → | 2010 | 1289 |
| 2 | Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China Hit paper breakdown → | 2009 | 832 |
| 3 | What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences Hit paper breakdown → | 2014 | 632 |
| 4 | Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective Hit paper breakdown → | 2011 | 589 |
| 5 | Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits Hit paper breakdown → | 2011 | 552 |
| 6 | Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory Hit paper breakdown → | 2008 | 516 |
| 7 | From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention Hit paper breakdown → | 2009 | 497 |
| 8 | Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services Hit paper breakdown → | 2016 | 482 |
| 9 | 2012 | 344 | |
| 10 | 2012 | 309 | |
| 11 | 2010 | 295 | |
| 12 | How do product recommendations affect impulse buying? An empirical study on WeChat social commerce Hit paper breakdown → | 2018 | 290 |
| 13 | Customers’ purchase decision-making process in social commerce: A social learning perspective Hit paper breakdown → | 2017 | 276 |
| 14 | 2011 | 274 | |
| 15 | Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants Hit paper breakdown → | 2020 | 225 |
| 16 | 2012 | 196 | |
| 17 | 2015 | 179 | |
| 18 | 2016 | 172 | |
| 19 | 2009 | 166 | |
| 20 | 2009 | 158 |
About Yaobin Lu
Yaobin Lu is a scholar working on Sociology and Political Science, Information Systems and Management, Organizational Behavior and Human Resource Management, Marketing and Communication, having authored 166 papers that have together received 12.2k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (97 papers), Digital Marketing and Social Media (97 papers), Customer Service Quality and Loyalty (55 papers), Knowledge Management and Sharing (21 papers), Consumer Retail Behavior Studies (19 papers), Impact of Technology on Adolescents (16 papers), AI in Service Interactions (11 papers) and Sharing Economy and Platforms (7 papers). The work is most often cited by research in Information Systems and Management (6.8k citations), Marketing (3.6k citations), Organizational Behavior and Human Resource Management (3.1k citations), Sociology and Political Science (7.5k citations) and Communication (1.1k citations). Yaobin Lu has collaborated with scholars based in China, India and United States. Frequent co-authors include Bin Wang, Ling Zhao, Tao Zhou, Sumeet Gupta, Patrick Y.K. Chau, Shuiqing Yang, Yuzhi Cao, Zhaohua Deng, Kwok‐Kee Wei and Jinlong Zhang. Their work appears in journals such as Computers in Human Behavior, International Journal of Mobile Communications, Information & Management, Journal of the Association for Information Systems and Information Technology and People.
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.