Jian-Wu Bi
- Sociology and Political Science top 1%
- Artificial Intelligence top 2%
- Marketing top 2%
- Organizational Behavior and Human Resource Management top 2%
- Management Science and Operations Research top 2%
- Co-authors
- Zhi‐Ping FanYang LiuHui LiJin ZhangTianyu HanErik CambriaYanbo YaoChunxiao Li
- Topics
- Digital Marketing and Social Media (18 papers)Diverse Aspects of Tourism Research (13 papers)Sport and Mega-Event Impacts (9 papers)
- Cited by
- Tourism, Leisure and Hospitality ManagementMarketingOrganizational Behavior and Human Resource Management
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Jian-Wu Bi
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Sociology and Political Science 981
- Artificial Intelligence 726
- Marketing 383
- Organizational Behavior and Human Resource Management 288
- Management Science and Operations Research 285
Countries citing papers authored by Jian-Wu Bi
This map shows the geographic impact of Jian-Wu Bi'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 Jian-Wu Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Wu Bi more than expected).
Fields of papers citing papers by Jian-Wu Bi
This network shows the impact of papers produced by Jian-Wu Bi. 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 Jian-Wu Bi. The network helps show where Jian-Wu Bi may publish in the future.
Co-authorship network of co-authors of Jian-Wu Bi
This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Wu Bi. A scholar is included among the top collaborators of Jian-Wu Bi 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 Jian-Wu Bi. Jian-Wu Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 23 | |
| 14 | 26 | |
| 15 | 31 | |
| 16 | 12 | |
| 17 | 132 | |
| 18 | 127 | |
| 19 | Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviewsbreakdown → | 253 |
| 20 | Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theorybreakdown → | 262 |
About Jian-Wu Bi
Jian-Wu Bi is a scholar working on Tourism, Leisure and Hospitality Management, Marketing and Organizational Behavior and Human Resource Management, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (18 papers), Diverse Aspects of Tourism Research (13 papers) and Sport and Mega-Event Impacts (9 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (86 citations), Marketing (383 citations) and Organizational Behavior and Human Resource Management (288 citations). Jian-Wu Bi has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Zhi‐Ping Fan, Yang Liu, Hui Li, Yang Liu, Jin Zhang, Yang Liu, Yang Liu, Tianyu Han, Erik Cambria and Jin Zhang. Their work appears in journals such as Tourism Management, Expert Systems with Applications and Annals 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.