Xiaojun Fan
- Management Science and Operations Research top 1%
- Strategy and Management top 2%
- Management Information Systems top 2%
- Marketing top 2%
- Statistics, Probability and Uncertainty top 2%
- Topics
- Supply Chain and Inventory Management (13 papers)Consumer Market Behavior and Pricing (10 papers)Consumer Retail Behavior Studies (8 papers)
- Journals
- Journal of Cleaner ProductionEuropean Journal of Operational ResearchExpert Systems with Applications
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaojun Fan
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Management Science and Operations Research 501
- Strategy and Management 426
- Management Information Systems 375
- Marketing 367
- Statistics, Probability and Uncertainty 162
Countries citing papers authored by Xiaojun Fan
This map shows the geographic impact of Xiaojun Fan'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 Xiaojun Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Fan more than expected).
Fields of papers citing papers by Xiaojun Fan
This network shows the impact of papers produced by Xiaojun Fan. 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 Xiaojun Fan. The network helps show where Xiaojun Fan may publish in the future.
Co-authorship network of co-authors of Xiaojun Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Fan. A scholar is included among the top collaborators of Xiaojun Fan 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 Xiaojun Fan. Xiaojun Fan 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 | 3 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 34 | |
| 6 | 17 | |
| 7 | 17 | |
| 8 | 17 | |
| 9 | 50 | |
| 10 | 10 | |
| 11 | 54 | |
| 12 | 10 | |
| 13 | 33 | |
| 14 | 145 | |
| 15 | 95 | |
| 16 | 201 | |
| 17 | Study on Fiber Asphalt Mixture Shear Strength | 1 |
| 18 | 15 | |
| 19 | Channel pricing strategy under the mode of retailer collusion | 0 |
| 20 | Research on CRM Strategy in Airline Company——with Special Reference to Shenzhen Airlines Company | 1 |
About Xiaojun Fan
Xiaojun Fan is a scholar working on Management Information Systems, Marketing and Business and International Management, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (13 papers), Consumer Market Behavior and Pricing (10 papers) and Consumer Retail Behavior Studies (8 papers). The work is most often cited by research in Management Information Systems (375 citations), Management Science and Operations Research (501 citations) and Marketing (367 citations). Xiaojun Fan has collaborated with scholars based in China and United States. Frequent co-authors include Hu‐Chen Liu, Jianxin You, Yi-Zeng Chen, Chengfu Wang, Zhe Yin, Qinglian Lin, Ting Zhang, Junbin Wang, Shanshan Wang and Ping Li. Their work appears in journals such as Journal of Cleaner Production, European Journal of Operational Research and Expert Systems with Applications.
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.