Lisa C. Wan

2.1k total citations · 1 hit paper
52 papers, 1.5k citations indexed

About

Lisa C. Wan is a scholar working on Marketing, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Lisa C. Wan has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Marketing, 27 papers in Sociology and Political Science and 15 papers in Social Psychology. Recurrent topics in Lisa C. Wan's work include Consumer Behavior in Brand Consumption and Identification (26 papers), Digital Marketing and Social Media (13 papers) and Customer Service Quality and Loyalty (12 papers). Lisa C. Wan is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (26 papers), Digital Marketing and Social Media (13 papers) and Customer Service Quality and Loyalty (12 papers). Lisa C. Wan collaborates with scholars based in Hong Kong, China and Macao. Lisa C. Wan's co-authors include Haksin Chan, Robert S. Wyer, Michael K. Hui, Leo Y.M. Sin, Xing Liu, Lei Su, Patrick Poon, Yao Qiu, Yuansi Hou and Chunling Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Consumer Research and Journal of Business Research.

In The Last Decade

Lisa C. Wan

51 papers receiving 1.4k citations

Hit Papers

Friendly or competent? The effects of perception of robot... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa C. Wan Hong Kong 20 804 792 577 411 296 52 1.5k
Hyokjin Kwak United States 22 740 0.9× 1.0k 1.3× 294 0.5× 254 0.6× 114 0.4× 42 1.5k
Rajat Roy Australia 19 734 0.9× 851 1.1× 337 0.6× 198 0.5× 217 0.7× 46 1.4k
Veena Chattaraman United States 17 606 0.8× 672 0.8× 190 0.3× 259 0.6× 300 1.0× 44 1.3k
Li Miao United States 19 876 1.1× 697 0.9× 348 0.6× 186 0.5× 140 0.5× 42 1.4k
Michael Giebelhausen United States 15 444 0.6× 545 0.7× 286 0.5× 121 0.3× 183 0.6× 24 923
Renaud Legoux Canada 14 677 0.8× 543 0.7× 456 0.8× 195 0.5× 54 0.2× 26 1.3k
Ana Valenzuela United States 16 712 0.9× 1.3k 1.6× 432 0.7× 340 0.8× 61 0.2× 39 1.9k
Judith Anne Garretson Folse United States 23 1.0k 1.3× 1.3k 1.6× 768 1.3× 251 0.6× 80 0.3× 36 1.9k
Wan Yang United States 21 1.0k 1.2× 1.1k 1.3× 680 1.2× 165 0.4× 70 0.2× 48 1.8k
Holger Roschk Germany 13 528 0.7× 640 0.8× 684 1.2× 214 0.5× 75 0.3× 25 1.2k

Countries citing papers authored by Lisa C. Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lisa C. Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa C. Wan. 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 Lisa C. Wan. The network helps show where Lisa C. Wan may publish in the future.

Co-authorship network of co-authors of Lisa C. Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa C. Wan. A scholar is included among the top collaborators of Lisa C. Wan 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 Lisa C. Wan. Lisa C. Wan 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
1.
Wan, Lisa C., et al.. (2025). Advancing information search through GenAI: the roles of search type, travel motive and GenAI customization level. International Journal of Contemporary Hospitality Management. 37(5). 1725–1743. 2 indexed citations
2.
Wan, Lisa C., et al.. (2025). How the elderly tackle age discrimination from human or AI servers. Annals of Tourism Research. 113. 103975–103975.
3.
Li, Shanshi, et al.. (2025). Tourism service recovery: How minority employees influence majority consumer experiences. Tourism Management. 109. 105158–105158. 2 indexed citations
4.
Huang, GuoQiong Ivanka, et al.. (2024). AI trust divide: How recruiter-candidate roles shape tourism personnel decision-making. Annals of Tourism Research. 109. 103860–103860. 6 indexed citations
5.
Wan, Lisa C., et al.. (2024). Inspiring tourists’ imagination: How and when human presence in photographs enhances travel mental simulation and destination attractiveness. Tourism Management. 106. 104969–104969. 19 indexed citations
6.
Wan, Lisa C., et al.. (2024). Exploring uncharted digital horizons: Role of internet self-efficacy in shaping the destination preferences of senior tourists. Tourism Management. 107. 105056–105056. 11 indexed citations
7.
Choi, Sungwoo, Lisa C. Wan, & Anna S. Mattila. (2024). Unintended indulgence in robotic service encounters. Annals of Tourism Research. 106. 103768–103768. 11 indexed citations
8.
Liu, Yi, et al.. (2024). Human psychology as a driver of tourism development: The effect of regional personality traits. Annals of Tourism Research. 109. 103852–103852. 2 indexed citations
9.
Wan, Lisa C., et al.. (2024). When less is more: The numerical format effect of tourism corporate donations. Annals of Tourism Research. 110. 103864–103864. 4 indexed citations
10.
Xu, Zeqiu, et al.. (2024). The unintended sustainable consequences of free upgrade: How unearned preferential treatment reduces sustainable behavior. Annals of Tourism Research. 110. 103872–103872. 3 indexed citations
11.
Wan, Lisa C., et al.. (2024). Remember it clearly: how solo travel influences tourists’ donation behavior toward the destination. Journal of Sustainable Tourism. 33(10). 2153–2172. 1 indexed citations
12.
Wan, Lisa C., et al.. (2023). Relaxing or challenging? How social crowding influences the effectiveness of activity-based destination advertising. Tourism Management. 100. 104839–104839. 27 indexed citations
13.
Li, Yuan, et al.. (2023). If museum treasures could talk: How anthropomorphism increases favorable visitor responses. Annals of Tourism Research. 99. 103540–103540. 9 indexed citations
14.
Wan, Lisa C., et al.. (2023). How eco-certificate/effort influences hotel preference. Annals of Tourism Research. 101. 103616–103616. 22 indexed citations
15.
Wan, Lisa C., et al.. (2020). ROBOTS COME to RESCUE: How to reduce perceived risk of infectious disease in Covid19-stricken consumers?. Annals of Tourism Research. 88. 103069–103069. 60 indexed citations
16.
Wan, Lisa C., et al.. (2019). Failure is Not Fatal: Actionable Insights on Service Failure and Recovery for the Hospitality Industry. SHILAP Revista de lepidopterología. 7(1). 1 indexed citations
17.
Howard, Kirsten, et al.. (2013). Linking Land Use to Inland Lake Ecosystem Service Values. Deep Blue (University of Michigan). 47(4). 249–56. 1 indexed citations
18.
Wan, Lisa C., et al.. (2013). Cross-Cultural Research on Consumer Responses to Service Failure: A Critical Review. Palgrave Macmillan UK eBooks. 185–206. 4 indexed citations
19.
Chan, Haksin, Lisa C. Wan, & Leo Y.M. Sin. (2006). Hospitality service failures: Who will be more dissatisfied?. International Journal of Hospitality Management. 26(3). 531–545. 68 indexed citations
20.
Jones, Peter A. & Lisa C. Wan. (1992). Innovation in the UK food-service industry.. International Journal of Contemporary Hospitality Management. 4(4). 1020–9. 5 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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