Kai Jiang
Impact in
- Marketing top 10%
- Consumer Behavior in Brand Consumption and Identification
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- Product Development and Customization
Papers in
-
- Robotic Path Planning Algorithms 3
- Co-authors
- Ming Li (1 shared paper)Zhi‐Hua Zhou (1 shared paper)Silvio Cardinali (1 shared paper)Sherriff T.K. Luk (1 shared paper)Hau L. Lee (1 shared paper)Ralf W. Seifert (1 shared paper)Haixia Chen (4 shared papers)Chen Yong (1 shared paper)
- Journals
- CrystEngComm (2 papers)Event Management (1 paper)World Leisure Journal (1 paper)Dyes and Pigments (1 paper)European Sport Management Quarterly (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Kai Jiang
35 papers receiving 389 citations
Peers
Comparison fields: 5 of 87
- Marketing 89
- Management of Technology and Innovation 48
- Computer Vision and Pattern Recognition 100
- Organizational Behavior and Human Resource Management 35
- Artificial Intelligence 111
Countries citing papers authored by Kai Jiang
This map shows the geographic impact of Kai Jiang'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 Kai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Jiang more than expected).
Fields of papers citing papers by Kai Jiang
This network shows the impact of papers produced by Kai Jiang. 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 Kai Jiang. The network helps show where Kai Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 113 | |
| 2 | 2017 | 71 | |
| 3 | 2005 | 54 | |
| 4 | 2006 | 24 | |
| 5 | 2019 | 15 | |
| 6 | 2012 | 15 | |
| 7 | 2018 | 12 | |
| 8 | 2017 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 5 | |
| 15 | Sub-Dimensions of Destination Brand Love and Their Influences on Destination Brand Loyalty: A Study of First-timers and Repeat Visitors | 2017 | 5 |
| 16 | 2006 | 5 | |
| 17 | 2005 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Kai Jiang
Kai Jiang is a scholar working on Computer Vision and Pattern Recognition, Marketing, Artificial Intelligence, Aerospace Engineering and Organizational Behavior and Human Resource Management, having authored 41 papers that have together received 406 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Sport and Mega-Event Impacts (3 papers), Robotic Path Planning Algorithms (3 papers), Customer Service Quality and Loyalty (3 papers), Recreation, Leisure, Wilderness Management (3 papers), Antenna Design and Analysis (3 papers), Antenna Design and Optimization (3 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Marketing (89 citations), Management of Technology and Innovation (48 citations), Computer Vision and Pattern Recognition (100 citations), Organizational Behavior and Human Resource Management (35 citations) and Artificial Intelligence (111 citations). Kai Jiang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ming Li, Zhi‐Hua Zhou, Silvio Cardinali, Sherriff T.K. Luk, Hau L. Lee, Ralf W. Seifert, Haixia Chen, Chen Yong, Luke R. Potwarka and Honggen Xiao. Their work appears in journals such as CrystEngComm, Event Management, World Leisure Journal, Dyes and Pigments and European Sport Management Quarterly.
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.