Luning Liu
Impact in
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- Technology Adoption and User Behaviour
- Communication top 5%
- Knowledge Management and Sharing
Papers in
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- AI in Service Interactions 13
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- Technology Adoption and User Behaviour 20
- Co-authors
- Yuqiang Feng (49 shared papers)Liguo Fei (9 shared papers)Zhen Shao (2 shared papers)Jiandong Lu (6 shared papers)Thompson S.H. Teo (1 shared paper)Jun Xia (5 shared papers)Changlin Wang (2 shared papers)Junbo Zhang (4 shared papers)
- Journals
- Journal of the Association for Information Systems (13 papers)Scientometrics (4 papers)Decision Support Systems (3 papers)International Journal of Intelligent Systems (3 papers)Engineering Applications of Artificial Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Luning Liu
83 papers receiving 1.5k citations
Luning Liu's Hit Papers
Peers
Comparison fields: 5 of 112
- Information Systems and Management 352
- Communication 193
- Management Information Systems 189
- Marketing 177
- Management Science and Operations Research 232
Countries citing papers authored by Luning Liu
This map shows the geographic impact of Luning Liu'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 Luning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luning Liu more than expected).
Fields of papers citing papers by Luning Liu
This network shows the impact of papers produced by Luning Liu. 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 Luning Liu. The network helps show where Luning Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Luning Liu, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions Hit paper breakdown → | 2023 | 122 |
| 3 | 2020 | 113 | |
| 4 | 2018 | 82 | |
| 5 | 2018 | 80 | |
| 6 | 2019 | 79 | |
| 7 | 2011 | 76 | |
| 8 | 2019 | 50 | |
| 9 | 2019 | 46 | |
| 10 | 2021 | 43 | |
| 11 | 2019 | 40 | |
| 12 | 2023 | 38 | |
| 13 | 2014 | 34 | |
| 14 | 2023 | 33 | |
| 15 | 2023 | 29 | |
| 16 | 2024 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2015 | 26 | |
| 20 | 2019 | 24 |
About Luning Liu
Luning Liu is a scholar working on Artificial Intelligence, Information Systems and Management, Sociology and Political Science, Communication and Marketing, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (20 papers), AI in Service Interactions (13 papers), Digital Marketing and Social Media (12 papers), E-Government and Public Services (10 papers), Multi-Criteria Decision Making (10 papers), Knowledge Management and Sharing (9 papers), ERP Systems Implementation and Impact (8 papers) and Consumer Retail Behavior Studies (7 papers). The work is most often cited by research in Information Systems and Management (352 citations), Communication (193 citations), Management Information Systems (189 citations), Marketing (177 citations) and Management Science and Operations Research (232 citations). Luning Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuqiang Feng, Liguo Fei, Zhen Shao, Jiandong Lu, Thompson S.H. Teo, Jun Xia, Changlin Wang, Junbo Zhang, Xiaolei Wang and Qing Hu. Their work appears in journals such as Journal of the Association for Information Systems, Scientometrics, Decision Support Systems, International Journal of Intelligent Systems and Engineering Applications of Artificial Intelligence.
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.