Yufan Yang
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- Peer-to-Peer Network Technologies 1
- Artificial Intelligence top 5%
- AI in Service Interactions 3
- Organizational and Employee Performance 1
- Marketing top 10%
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- Diverse Aspects of Tourism Research 4
- Digital Marketing and Social Media 3
- Sport and Mega-Event Impacts 1
- Emotional Labor in Professions 1
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- Gender Diversity and Inequality 1
- Co-authors
- Abraham SilberschatzHaiyong XieArvind KrishnamurthyXingyang LvHong XuXingping CaoHaihong WangLina Xiong
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceInformation Systems and Management
- Journals
- Computers in Human Behavior (1 paper)Annals of Tourism Research (1 paper)Journal of Retailing and Consumer Services (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Yufan Yang
9 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 272
- Artificial Intelligence 230
- Information Systems and Management 47
- Marketing 56
- Health Informatics 7
Countries citing papers authored by Yufan Yang
This map shows the geographic impact of Yufan Yang'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 Yufan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yufan Yang more than expected).
Fields of papers citing papers by Yufan Yang
This network shows the impact of papers produced by Yufan Yang. 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 Yufan Yang. The network helps show where Yufan Yang may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Yufan Yang, 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 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 6 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 13 | |
| 9 | Artificial intelligence service recovery: The role of empathic response in hospitality customers’ continuous usage intentionbreakdown → | 2021 | 199 |
| 10 | 2020 | 40 | |
| 11 | 2008 | 274 |
About Yufan Yang
Yufan Yang is a scholar working on Marketing, Geography, Planning and Development and Communication, having authored 11 papers that have together received 553 indexed citations. Recurring topics across this work include Diverse Aspects of Tourism Research (4 papers), Digital Marketing and Social Media (3 papers), AI in Service Interactions (3 papers), Peer-to-Peer Network Technologies (1 paper), Sport and Mega-Event Impacts (1 paper), Gender Diversity and Inequality (1 paper), Emotional Labor in Professions (1 paper) and Organizational and Employee Performance (1 paper). The work is most often cited by research in Computer Networks and Communications (272 citations), Artificial Intelligence (230 citations) and Information Systems and Management (47 citations). Yufan Yang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Abraham Silberschatz, Haiyong Xie, Arvind Krishnamurthy, Xingyang Lv, Hong Xu, Xingping Cao, Haihong Wang, Lina Xiong, Chunxiao Li and Xiaoyan Liu. Their work appears in journals such as Computers in Human Behavior, Annals of Tourism Research and Journal of Retailing and Consumer Services.
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.