Jie Peng
- Genetics top 5%
- Statistics and Probability top 2%
- Molecular Biology
- Artificial Intelligence top 10%
- Civil and Structural Engineering
- Co-authors
- Pei WangNeil RischHua TangDebashis PaulHans‐Georg MüllerK. KrishnamoorthyDavid SiegmundBing Li
- Topics
- Statistical Methods and Bayesian Inference (7 papers)Advanced Numerical Methods in Computational Mathematics (7 papers)Statistical Methods and Inference (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jie Peng
49 papers receiving 970 citations
Peers
Comparison fields: 5 of 150
- Genetics 400
- Statistics and Probability 156
- Molecular Biology 150
- Artificial Intelligence 124
- Civil and Structural Engineering 58
Countries citing papers authored by Jie Peng
This map shows the geographic impact of Jie Peng'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 Jie Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Peng more than expected).
Fields of papers citing papers by Jie Peng
This network shows the impact of papers produced by Jie Peng. 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 Jie Peng. The network helps show where Jie Peng may publish in the future.
Co-authorship network of co-authors of Jie Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Peng. A scholar is included among the top collaborators of Jie Peng 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 Jie Peng. Jie Peng 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 | 12 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | Bootstrap Inference for Network Construction | 9 |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 440 | |
| 20 | 6 |
About Jie Peng
Jie Peng is a scholar working on Statistics and Probability, Computational Mechanics and Numerical Analysis, having authored 56 papers that have together received 994 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (156 citations), Genetics (400 citations) and Artificial Intelligence (124 citations). Jie Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Pei Wang, Neil Risch, Hua Tang, Debashis Paul, Hans‐Georg Müller, K. Krishnamoorthy, David Siegmund, Bing Li, Xiusong Shi and Yongfeng Deng. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.