Jin‐Ting Zhang
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Molecular Biology
- Genetics
- Co-authors
- Jianqing FanHulin WuJia GuoChia‐Ying LiMing−Yen ChengToshio HondaŁukasz SmagaJianwei Chen
- Topics
- Statistical Methods and Inference (30 papers)Bayesian Methods and Mixture Models (22 papers)Statistical Methods and Bayesian Inference (19 papers)
- Journals
- Journal of the American Statistical AssociationThe Science of The Total EnvironmentTechnometrics
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Jin‐Ting Zhang
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 150
- Statistics and Probability 766
- Artificial Intelligence 375
- Management Science and Operations Research 101
- Molecular Biology 79
- Genetics 60
Countries citing papers authored by Jin‐Ting Zhang
This map shows the geographic impact of Jin‐Ting 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 Jin‐Ting Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Ting Zhang more than expected).
Fields of papers citing papers by Jin‐Ting Zhang
This network shows the impact of papers produced by Jin‐Ting 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 Jin‐Ting Zhang. The network helps show where Jin‐Ting Zhang may publish in the future.
Co-authorship network of co-authors of Jin‐Ting Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Ting Zhang. A scholar is included among the top collaborators of Jin‐Ting 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 Jin‐Ting Zhang. Jin‐Ting 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 | 10 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 59 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 1 | |
| 18 | 65 | |
| 19 | 63 | |
| 20 | 2 |
About Jin‐Ting Zhang
Jin‐Ting Zhang is a scholar working on Statistics and Probability, Computational Mathematics and Artificial Intelligence, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (30 papers), Bayesian Methods and Mixture Models (22 papers) and Statistical Methods and Bayesian Inference (19 papers). The work is most often cited by research in Statistics and Probability (766 citations), Computational Mathematics (9 citations) and Artificial Intelligence (375 citations). Jin‐Ting Zhang has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Jianqing Fan, Hulin Wu, Jia Guo, Chia‐Ying Li, Ming−Yen Cheng, Toshio Honda, Łukasz Smaga, Jianwei Chen, Liang Zhang and Xuefeng Liu. Their work appears in journals such as Journal of the American Statistical Association, The Science of The Total Environment and Technometrics.
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.