Nao Li
Impact in
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- Wine Industry and Tourism
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
Papers in
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- Digital Marketing and Social Media 7
- Diverse Aspects of Tourism Research 7
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- Multi-Agent Systems and Negotiation 2
- Co-authors
- Rob Law (7 shared papers)IpKin Anthony Wong (5 shared papers)Xiankai Huang (3 shared papers)Danqing Liu (1 shared paper)Feng Shi (1 shared paper)Xiaoming Chen (1 shared paper)Vincent Wing Sun Tung (1 shared paper)Xiling Xiong (1 shared paper)
In The Last Decade
Nao Li
15 papers receiving 324 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Tourism, Leisure and Hospitality Management 34
- Marketing 96
- Sociology and Political Science 235
- Transportation 35
- Human-Computer Interaction 18
Countries citing papers authored by Nao Li
This map shows the geographic impact of Nao 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 Nao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nao Li more than expected).
Fields of papers citing papers by Nao Li
This network shows the impact of papers produced by Nao 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 Nao Li. The network helps show where Nao Li may publish in the future.
Co-authors
The 18 scholars most cited alongside Nao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2020 | 51 | |
| 3 | 2016 | 50 | |
| 4 | Digital destination storytelling: Narrative persuasion effects induced by story satisfaction in a VR context Hit paper breakdown → | 2024 | 35 |
| 5 | 2021 | 24 | |
| 6 | 2017 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 8 | |
| 13 | Adaptive business process model separating business rules | 2008 | 2 |
| 14 | A Negotiation Model for the Process Agents in an Agent-Based Process-Centered Software Engineering Environment. | 2006 | 1 |
| 15 | 2020 | 1 | |
| 16 | 2009 | 1 |
About Nao Li
Nao Li is a scholar working on Sociology and Political Science, Artificial Intelligence, Management Information Systems, Marketing and Organizational Behavior and Human Resource Management, having authored 16 papers that have together received 335 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Diverse Aspects of Tourism Research (7 papers), Customer Service Quality and Loyalty (3 papers), Business Process Modeling and Analysis (3 papers), Culinary Culture and Tourism (2 papers), Collaboration in agile enterprises (2 papers), Multi-Agent Systems and Negotiation (2 papers) and Sharing Economy and Platforms (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (34 citations), Marketing (96 citations), Sociology and Political Science (235 citations), Transportation (35 citations) and Human-Computer Interaction (18 citations). Nao Li has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Rob Law, IpKin Anthony Wong, Xiankai Huang, Danqing Liu, Feng Shi, Xiaoming Chen, Vincent Wing Sun Tung, Xiling Xiong, Seunghun Shin and Zheng Xiang. Their work appears in journals such as Asia Pacific Journal of Tourism Research, Information Technology & Tourism, Journal of Hospitality and Tourism Technology, Tourism Management and Tourism Review.
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.