Sijun Wang
- Sociology and Political Science top 5%
- Marketing top 2%
- Organizational Behavior and Human Resource Management top 2%
- Information Systems and Management top 1%
- Social Psychology top 10%
- Co-authors
- Sharon E. BeattyWilliam FoxxBetsy Bugg HollowayLenita DavisAndrew LindridgeLenard C. HuffJanet Turner ParishShanthi Srinivas
- Topics
- Customer Service Quality and Loyalty (6 papers)Consumer Behavior in Brand Consumption and Identification (4 papers)Technology Adoption and User Behaviour (3 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sijun Wang
11 papers receiving 878 citations
Peers
Comparison fields: 5 of 71
- Sociology and Political Science 506
- Marketing 490
- Organizational Behavior and Human Resource Management 479
- Information Systems and Management 344
- Social Psychology 85
Countries citing papers authored by Sijun Wang
This map shows the geographic impact of Sijun Wang'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 Sijun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijun Wang more than expected).
Fields of papers citing papers by Sijun Wang
This network shows the impact of papers produced by Sijun Wang. 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 Sijun Wang. The network helps show where Sijun Wang may publish in the future.
Co-authorship network of co-authors of Sijun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Sijun Wang. A scholar is included among the top collaborators of Sijun Wang 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 Sijun Wang. Sijun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Considering Culture to Win Back Lost Customers: Comparing Chinese and American Consumers | 7 |
| 2 | Marketing Theory and Applications | 197 |
| 3 | 71 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 80 | |
| 8 | 155 | |
| 9 | 62 | |
| 10 | 117 | |
| 11 | 217 |
About Sijun Wang
Sijun Wang is a scholar working on Organizational Behavior and Human Resource Management, Marketing and Information Systems and Management, having authored 11 papers that have together received 943 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (6 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Marketing (490 citations), Information Systems and Management (344 citations) and Organizational Behavior and Human Resource Management (479 citations). Sijun Wang has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sharon E. Beatty, William Foxx, Betsy Bugg Holloway, Lenita Davis, Andrew Lindridge, Lenard C. Huff, Janet Turner Parish, Shanthi Srinivas, Olukemi O. Sawyerr and Yuanjie He. Their work appears in journals such as Organization Science, Journal of Business Research and European Journal of Marketing.
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.