Gongjun Xu
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Jingchen LiuChun WangZhiliang YingWei PanChiung‐Yu HuangPeng WeiLifeng LinBodhisattva Sen
- Topics
- Statistical Methods and Inference (41 papers)Statistical Methods and Bayesian Inference (34 papers)Psychometric Methodologies and Testing (19 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchComputational Mathematics
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Gongjun Xu
84 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Management Science and Operations Research 678
- Statistics and Probability 628
- Artificial Intelligence 557
- Computer Networks and Communications 290
- Experimental and Cognitive Psychology 177
Countries citing papers authored by Gongjun Xu
This map shows the geographic impact of Gongjun 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 Gongjun Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gongjun Xu more than expected).
Fields of papers citing papers by Gongjun Xu
This network shows the impact of papers produced by Gongjun 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 Gongjun Xu. The network helps show where Gongjun Xu may publish in the future.
Co-authorship network of co-authors of Gongjun Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Gongjun Xu. A scholar is included among the top collaborators of Gongjun 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 Gongjun Xu. Gongjun 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 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | Identification and Estimation of Hierarchical Latent Attribute Models. | 2 |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | Statistical analysis of Q-matrix based diagnostic classification models | 22 |
| 18 | 127 | |
| 19 | 9 | |
| 20 | 0 |
About Gongjun Xu
Gongjun Xu is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Mathematics, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (41 papers), Statistical Methods and Bayesian Inference (34 papers) and Psychometric Methodologies and Testing (19 papers). The work is most often cited by research in Statistics and Probability (628 citations), Management Science and Operations Research (678 citations) and Computational Mathematics (15 citations). Gongjun Xu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jingchen Liu, Chun Wang, Zhiliang Ying, Wei Pan, Chiung‐Yu Huang, Peng Wei, Lifeng Lin, Bodhisattva Sen, Yan Zhang and Sy Han Chiou. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Scientific Reports.
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.