Heng Peng
- Statistics and Probability top 0.2%
- Artificial Intelligence top 2%
- Molecular Biology
- Control and Systems Engineering top 5%
- Finance top 5%
- Co-authors
- Jianqing FanGaorong LiLixing ZhuTao HuangJun ZhangLi ZhuMiao Bai-qiYing Lü
- Topics
- Statistical Methods and Inference (35 papers)Statistical Methods and Bayesian Inference (16 papers)Advanced Statistical Methods and Models (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Heng Peng
54 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Statistics and Probability 1.3k
- Artificial Intelligence 478
- Molecular Biology 201
- Control and Systems Engineering 169
- Finance 162
Countries citing papers authored by Heng Peng
This map shows the geographic impact of Heng 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 Heng Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng Peng more than expected).
Fields of papers citing papers by Heng Peng
This network shows the impact of papers produced by Heng 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 Heng Peng. The network helps show where Heng Peng may publish in the future.
Co-authorship network of co-authors of Heng Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Heng Peng. A scholar is included among the top collaborators of Heng 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 Heng Peng. Heng 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 18 | |
| 16 | NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS | 74 |
| 17 | 31 | |
| 18 | 16 | |
| 19 | 39 | |
| 20 | 9 |
About Heng Peng
Heng Peng is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (16 papers) and Advanced Statistical Methods and Models (16 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Statistics, Probability and Uncertainty (120 citations) and Finance (162 citations). Heng Peng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianqing Fan, Gaorong Li, Lixing Zhu, Tao Huang, Jun Zhang, Li Zhu, Miao Bai-qi, Ying Lü, Yacine Aı̈t-Sahalia and Kun Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and PLoS ONE.
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.