Xiaoyue Niu
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Soil Science top 10%
- Infectious Diseases
- Statistics and Probability top 5%
- Co-authors
- Peter D. HoffLingzhou XueKa Yee YeungAdrian E. RafteryBipin RimalVivek KapurAndrew J. K. ConlanSreenidhi Srinivasan
- Topics
- Complex Network Analysis Techniques (11 papers)HIV, Drug Use, Sexual Risk (7 papers)Opinion Dynamics and Social Influence (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiaoyue Niu
31 papers receiving 567 citations
Peers
Comparison fields: 5 of 121
- Statistical and Nonlinear Physics 107
- Artificial Intelligence 77
- Soil Science 75
- Infectious Diseases 73
- Statistics and Probability 67
Countries citing papers authored by Xiaoyue Niu
This map shows the geographic impact of Xiaoyue Niu'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 Xiaoyue Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyue Niu more than expected).
Fields of papers citing papers by Xiaoyue Niu
This network shows the impact of papers produced by Xiaoyue Niu. 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 Xiaoyue Niu. The network helps show where Xiaoyue Niu may publish in the future.
Co-authorship network of co-authors of Xiaoyue Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyue Niu. A scholar is included among the top collaborators of Xiaoyue Niu 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 Xiaoyue Niu. Xiaoyue Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 132 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Impact of Disability Services on Academic Achievement among College Students with Disabilities. | 14 |
| 14 | 6 | |
| 15 | 81 | |
| 16 | 42 | |
| 17 | 4 | |
| 18 | 67 | |
| 19 | 15 | |
| 20 | 60 |
About Xiaoyue Niu
Xiaoyue Niu is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Epidemiology, having authored 36 papers that have together received 583 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), HIV, Drug Use, Sexual Risk (7 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (107 citations), Statistics and Probability (67 citations) and Soil Science (75 citations). Xiaoyue Niu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Peter D. Hoff, Lingzhou Xue, Ka Yee Yeung, Adrian E. Raftery, Bipin Rimal, Vivek Kapur, Andrew J. K. Conlan, Sreenidhi Srinivasan, Yan Bo and Michael C. Goates. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and IEEE Transactions on Biomedical Engineering.
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.