Xiaoxia Xu
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Computational Theory and Mathematics top 5%
- Statistics and Probability top 5%
- Co-authors
- Zaiwu GongEnrique Herrera‐ViedmaChao XuLianshui LiHuanhuan ZhangWeiwei GuoJeffrey Yi‐Lin ForrestFrancisco Javier Cabrerizo
- Topics
- Multi-Criteria Decision Making (15 papers)Cognitive Science and Mapping (5 papers)Bayesian Modeling and Causal Inference (4 papers)
- Cited by
- Management Science and Operations ResearchStatistical and Nonlinear PhysicsStatistics and Probability
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsIEEE Transactions on Fuzzy Systems
- Partner nations
- ChinaSpainUnited Kingdom
In The Last Decade
Xiaoxia Xu
21 papers receiving 822 citations
Peers
Comparison fields: 5 of 68
- Management Science and Operations Research 643
- Artificial Intelligence 342
- Statistical and Nonlinear Physics 167
- Computational Theory and Mathematics 100
- Statistics and Probability 97
Countries citing papers authored by Xiaoxia Xu
This map shows the geographic impact of Xiaoxia Xu'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 Xiaoxia Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Xu more than expected).
Fields of papers citing papers by Xiaoxia Xu
This network shows the impact of papers produced by Xiaoxia Xu. 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 Xiaoxia Xu. The network helps show where Xiaoxia Xu may publish in the future.
Co-authorship network of co-authors of Xiaoxia Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Xu. A scholar is included among the top collaborators of Xiaoxia Xu 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 Xiaoxia Xu. Xiaoxia Xu 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 | 3 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 21 | |
| 7 | 99 | |
| 8 | 20 | |
| 9 | 18 | |
| 10 | 8 | |
| 11 | 58 | |
| 12 | 58 | |
| 13 | 147 | |
| 14 | 1 | |
| 15 | 193 | |
| 16 | 23 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | The Evaluation on Ecosystem of Luoyang City | 0 |
About Xiaoxia Xu
Xiaoxia Xu is a scholar working on Management Science and Operations Research, Statistics and Probability and Organizational Behavior and Human Resource Management, having authored 25 papers that have together received 831 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (15 papers), Cognitive Science and Mapping (5 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Management Science and Operations Research (643 citations), Statistical and Nonlinear Physics (167 citations) and Statistics and Probability (97 citations). Xiaoxia Xu has collaborated with scholars based in China, Spain and United Kingdom. Frequent co-authors include Zaiwu Gong, Enrique Herrera‐Viedma, Chao Xu, Lianshui Li, Huanhuan Zhang, Weiwei Guo, Jeffrey Yi‐Lin Forrest, Francisco Javier Cabrerizo, Francisco Chiclana and Fengling Lu. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Transactions on Fuzzy Systems.
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.