Luning Liu

2.4k total citations · 1 hit paper
98 papers, 1.6k citations indexed

About

Luning Liu is a scholar working on Artificial Intelligence, Information Systems and Management and Sociology and Political Science. According to data from OpenAlex, Luning Liu has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Information Systems and Management and 16 papers in Sociology and Political Science. Recurrent topics in Luning Liu's work include Technology Adoption and User Behaviour (20 papers), AI in Service Interactions (13 papers) and Digital Marketing and Social Media (12 papers). Luning Liu is often cited by papers focused on Technology Adoption and User Behaviour (20 papers), AI in Service Interactions (13 papers) and Digital Marketing and Social Media (12 papers). Luning Liu collaborates with scholars based in China, United States and Singapore. Luning Liu's co-authors include Yuqiang Feng, Liguo Fei, Zhen Shao, Jun Xia, Changlin Wang, Thompson S.H. Teo, Jiandong Lu, Yanqing Wang, Qing Hu and Junbo Zhang and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Image Processing and Tourism Management.

In The Last Decade

Luning Liu

86 papers receiving 1.5k citations

Hit Papers

Emotional expression by artificial intelligence chatbots ... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luning Liu China 21 383 361 354 232 187 98 1.6k
Amany Elbanna United Kingdom 21 277 0.7× 543 1.5× 292 0.8× 148 0.6× 149 0.8× 48 1.6k
Dawn G. Gregg United States 21 250 0.7× 628 1.7× 360 1.0× 188 0.8× 276 1.5× 49 1.5k
Mathias Klier Germany 16 250 0.7× 425 1.2× 218 0.6× 276 1.2× 214 1.1× 81 1.1k
Norita Ahmad United Arab Emirates 20 238 0.6× 649 1.8× 451 1.3× 112 0.5× 202 1.1× 59 1.5k
Vincent Cho Hong Kong 25 263 0.7× 806 2.2× 552 1.6× 312 1.3× 191 1.0× 76 2.0k
Dongming Xu Australia 19 294 0.8× 349 1.0× 212 0.6× 116 0.5× 128 0.7× 77 1.5k
Yuqiang Feng China 26 479 1.3× 445 1.2× 430 1.2× 454 2.0× 264 1.4× 123 2.1k
Murugan Anandarajan United States 23 268 0.7× 521 1.4× 464 1.3× 235 1.0× 165 0.9× 51 1.7k
Babak Abedin Australia 23 190 0.5× 432 1.2× 164 0.5× 121 0.5× 211 1.1× 72 1.5k
Heng‐Li Yang Taiwan 21 235 0.6× 558 1.5× 448 1.3× 127 0.5× 434 2.3× 76 1.6k

Countries citing papers authored by Luning Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Luning Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Luning Liu. A scholar is included among the top collaborators of Luning Liu 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 Luning Liu. Luning Liu 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
2.
Zhang, Junbo, Xiaolei Wang, Jiandong Lu, Luning Liu, & Yuqiang Feng. (2024). The impact of emotional expression by artificial intelligence recommendation chatbots on perceived humanness and social interactivity. Decision Support Systems. 187. 114347–114347. 18 indexed citations
3.
Liu, Luning, et al.. (2024). Governance mechanism of public-private partnerships for promoting smart city performance: A multi-case study in China. Cities. 153. 105295–105295. 3 indexed citations
4.
Zhang, Junbo, Jiandong Lu, Xiaolei Wang, Luning Liu, & Yuqiang Feng. (2024). Emotional expressions of care and concern by customer service chatbots: Improved customer attitudes despite perceived inauthenticity. Decision Support Systems. 186. 114314–114314. 7 indexed citations
5.
Wang, Yameng, et al.. (2024). An improved case-based reasoning approach for sustainable rural development applied to strategic responses. Engineering Applications of Artificial Intelligence. 133. 108316–108316. 3 indexed citations
6.
Lu, Jiandong, et al.. (2024). Leveraging digital technology to improve self-efficacy in response to public health crises. Information & Management. 61(6). 103987–103987. 3 indexed citations
7.
Li, Binbin, et al.. (2023). Voice artificial intelligence service failure and customer complaint behavior: The mediation effect of customer emotion. Electronic Commerce Research and Applications. 59. 101261–101261. 19 indexed citations
8.
Zhang, Junbo, Qi Chen, Jiandong Lu, et al.. (2023). Emotional expression by artificial intelligence chatbots to improve customer satisfaction: Underlying mechanism and boundary conditions. Tourism Management. 100. 104835–104835. 102 indexed citations breakdown →
9.
Liu, Luning, et al.. (2023). Estimating travellers’ value when purchasing auxiliary services in the airline industry based on the RFM model. Journal of Retailing and Consumer Services. 74. 103433–103433. 9 indexed citations
10.
Wang, Lingli, Ni Huang, Yili Hong, et al.. (2023). Voice‐based AI in call center customer service: A natural field experiment. Production and Operations Management. 32(4). 1002–1018. 31 indexed citations
11.
Liu, Luning, et al.. (2022). The Legitimacy of a Sharing Economy-Enabled Digital Platform for Socioeconomic Development. Journal of theoretical and applied electronic commerce research. 17(4). 1581–1601. 1 indexed citations
12.
Wang, Lingli, et al.. (2020). Effects of Voice-Based AI in Customer Service: Evidence from a Natural Experiment. Journal of the Association for Information Systems. 2 indexed citations
13.
Yun, Liang, et al.. (2020). Patterns and Influence Factors of Fine Root Turnover in Forest Ecosystems. Chinese Bulletin of Botany. 55(3). 308.
14.
Liu, Luning, et al.. (2019). A Study of Factors Influencing Restaurants Sales in Online-to-offline Food Delivery platforms: Differences between High-sales Restaurants and Low-sales Restaurants. Journal of the Association for Information Systems. 128. 5 indexed citations
15.
Liu, Luning, et al.. (2018). Designing an O2O Citizen Participation Ecosystem for the Sustainable Governance of Societies. Journal of the Association for Information Systems. 225. 3 indexed citations
16.
Wang, Xiao‐Lei, et al.. (2016). How Control Initiatives Affect Quality of G2B E-government Services: A Multi-method Study. WHICEB. 47. 1 indexed citations
17.
Liu, Luning, et al.. (2014). COMPREHENSIVE UNDERSTANDING THE INHIBITORS AND ENABLERS OF KNOWLEDGE TRANSFER IN ERP ASSIMILATIONS: A MULTI-CASE STUDY. Journal of the Association for Information Systems. 168. 3 indexed citations
18.
Zhang, Guijie, et al.. (2014). UNDERSTANDING THE EVOLUTION OF INFORMATION SYSTEMS RESEARCH FROM THE PERSPECTIVE OF CO-AUTHORSHIP NETWORK: A COMPREHENSIVE DATA ANALYSIS FROM 1993 TO 2012. Journal of the Association for Information Systems. 327. 3 indexed citations
19.
Liu, Luning, et al.. (2014). Understanding Individual Level ERP Assimilation from a Social Network Perspective: a Multi-Case Study.. Journal of the Association for Information Systems. 3 indexed citations
20.
Yang, Yi, et al.. (2014). The Selection Method of Fuzzy Composite Operators Based on the Clear Field. 12(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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