Jianxin Pan
- Statistics and Probability top 0.5%
- Pollution top 5%
- Artificial Intelligence top 5%
- Health, Toxicology and Mutagenesis top 5%
- Biomedical Engineering
- Co-authors
- Kai‐Tai FangHuajun YeChaohai WeiGuang‐Hui FuHaizhen WuJie ZhouGilbert MacKenzieQingtai Xiao
- Topics
- Statistical Methods and Inference (38 papers)Statistical Methods and Bayesian Inference (37 papers)Advanced Statistical Methods and Models (19 papers)
- Journals
- Journal of the American Statistical AssociationACS NanoApplied and Environmental Microbiology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jianxin Pan
128 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 173
- Statistics and Probability 581
- Pollution 271
- Artificial Intelligence 248
- Health, Toxicology and Mutagenesis 197
- Biomedical Engineering 156
Countries citing papers authored by Jianxin Pan
This map shows the geographic impact of Jianxin Pan'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 Jianxin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianxin Pan more than expected).
Fields of papers citing papers by Jianxin Pan
This network shows the impact of papers produced by Jianxin Pan. 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 Jianxin Pan. The network helps show where Jianxin Pan may publish in the future.
Co-authorship network of co-authors of Jianxin Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Jianxin Pan. A scholar is included among the top collaborators of Jianxin Pan 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 Jianxin Pan. Jianxin Pan 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 | 15 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 36 | |
| 11 | 12 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 19 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | Multivariate statistical diagnostics with application to the growth curve model | 1 |
| 20 | OUTLIERS AND INFLUENTIAL OBSERVATIONS IN A RIDGE MEAN SHIFT REGRESSION | 1 |
About Jianxin Pan
Jianxin Pan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Pollution, having authored 143 papers that have together received 1.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (37 papers) and Advanced Statistical Methods and Models (19 papers). The work is most often cited by research in Statistics and Probability (581 citations), Pollution (271 citations) and Environmental Chemistry (143 citations). Jianxin Pan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kai‐Tai Fang, Huajun Ye, Chaohai Wei, Guang‐Hui Fu, Haizhen Wu, Jie Zhou, Gilbert MacKenzie, Qingtai Xiao, R. Thompson and Siyu Cai. Their work appears in journals such as Journal of the American Statistical Association, ACS Nano and Applied and Environmental Microbiology.
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.