Minglong Li

44 papers receiving 1.4k citations

Hit Papers

A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations 2021 · 208 citations
2082019202620212023100200300

Peers

Minglong Li
Comparison fields: 5 of 107
  • Marketing 453
  • Organizational Behavior and Human Resource Management 349
  • Information Systems and Management 162
  • Artificial Intelligence 576
  • Tourism, Leisure and Hospitality Management 27
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Vanja Bogicevic United States
Jason L. Stienmetz Austria
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Sungwoo Choi Hong Kong
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Citations per year

Countries citing papers authored by Minglong Li

Since Specialization
Citations

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

Fields of papers citing papers by Minglong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minglong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minglong Li Line = papers co-authored together Minglong Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancing hospitality experience with service robots: the mediating role of rapport building
Hit paper breakdown →
2019303
2
A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations
Hit paper breakdown →
2021208
3 2016124
4 202286
5 202181
6 201680
7 202358
8 201856
9 202136
10 201935
11 202331
12 201829
13 201824
14 201723
15 202121
16 201721
17 202418
18 202217
19 201815
20 202015

About Minglong Li

Minglong Li is a scholar working on Tourism, Leisure and Hospitality Management, Marketing, Organizational Behavior and Human Resource Management, Artificial Intelligence and Fluid Flow and Transfer Processes, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Customer Service Quality and Loyalty (10 papers), Reinforcement Learning in Robotics (9 papers), Diverse Aspects of Tourism Research (8 papers), AI in Service Interactions (7 papers), Robotic Path Planning Algorithms (6 papers), Job Satisfaction and Organizational Behavior (5 papers) and Consumer Behavior in Brand Consumption and Identification (5 papers). The work is most often cited by research in Marketing (453 citations), Organizational Behavior and Human Resource Management (349 citations), Information Systems and Management (162 citations), Artificial Intelligence (576 citations) and Tourism, Leisure and Hospitality Management (27 citations). Minglong Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hailian Qiu, Billy Bai, Cathy H.C. Hsu, Boyang Shu, Qiushi Gu, Yingli Li, Ning Wang, Kam Hung, Seongseop Kim and Sha Wang. Their work appears in journals such as International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management, Journal of Hospitality Marketing & Management, SAE technical papers on CD-ROM/SAE technical paper series and Asia Pacific Journal of Tourism Research.

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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