Xijuan Zhang
- Social Psychology
- Clinical Psychology
- Sociology and Political Science
- Management Science and Operations Research top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Victoria SavaleiOscar L. Olvera AstiviaBruno D. ZumboHao WuMu‐Hua HuangJames A. EvansJessie SunChristopher J. Soto
- Topics
- Psychometric Methodologies and Testing (7 papers)Behavioral Health and Interventions (4 papers)Statistical Methods and Bayesian Inference (3 papers)
- Cited by
- Applied PsychologyManagement Science and Operations ResearchExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFrontiers in Psychology
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Xijuan Zhang
13 papers receiving 290 citations
Peers
Comparison fields: 5 of 108
- Social Psychology 67
- Clinical Psychology 64
- Sociology and Political Science 62
- Management Science and Operations Research 53
- Experimental and Cognitive Psychology 45
Countries citing papers authored by Xijuan Zhang
This map shows the geographic impact of Xijuan Zhang'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 Xijuan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xijuan Zhang more than expected).
Fields of papers citing papers by Xijuan Zhang
This network shows the impact of papers produced by Xijuan Zhang. 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 Xijuan Zhang. The network helps show where Xijuan Zhang may publish in the future.
Co-authorship network of co-authors of Xijuan Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Xijuan Zhang. A scholar is included among the top collaborators of Xijuan Zhang 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 Xijuan Zhang. Xijuan Zhang 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 143 | |
| 13 | 40 | |
| 14 | 35 |
About Xijuan Zhang
Xijuan Zhang is a scholar working on Applied Psychology, Statistics and Probability and Management Science and Operations Research, having authored 14 papers that have together received 294 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (7 papers), Behavioral Health and Interventions (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Applied Psychology (39 citations), Management Science and Operations Research (53 citations) and Experimental and Cognitive Psychology (45 citations). Xijuan Zhang has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Victoria Savalei, Oscar L. Olvera Astivia, Bruno D. Zumbo, Hao Wu, Mu‐Hua Huang, James A. Evans, Jessie Sun and Christopher J. Soto. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Psychology.
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.