Lixing Zhu
- Statistics and Probability top 0.05%
- Artificial Intelligence top 2%
- Economics and Econometrics top 5%
- Control and Systems Engineering top 5%
- Statistics, Probability and Uncertainty top 1%
- Co-authors
- Liugen XueTao WangHeng PengXia CuiXu GuoGaorong LiWangli XuMiao Bai-qi
- Topics
- Statistical Methods and Inference (138 papers)Statistical Methods and Bayesian Inference (85 papers)Advanced Statistical Methods and Models (56 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lixing Zhu
172 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 134
- Statistics and Probability 2.5k
- Artificial Intelligence 627
- Economics and Econometrics 353
- Control and Systems Engineering 227
- Statistics, Probability and Uncertainty 208
Countries citing papers authored by Lixing Zhu
This map shows the geographic impact of Lixing Zhu'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 Lixing Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixing Zhu more than expected).
Fields of papers citing papers by Lixing Zhu
This network shows the impact of papers produced by Lixing Zhu. 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 Lixing Zhu. The network helps show where Lixing Zhu may publish in the future.
Co-authorship network of co-authors of Lixing Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Lixing Zhu. A scholar is included among the top collaborators of Lixing Zhu 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 Lixing Zhu. Lixing Zhu 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 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS | 74 |
| 10 | 17 | |
| 11 | ON DIMENSION REDUCTION IN REGRESSIONS WITH MULTIVARIATE RESPONSES | 18 |
| 12 | 3 | |
| 13 | Evaluation of value at risk: An empirical likelihood approach | 9 |
| 14 | Dimension reduction for conditional variance in regressions | 14 |
| 15 | 41 | |
| 16 | 0 | |
| 17 | 72 | |
| 18 | 3 | |
| 19 | Almost sure convergence of weighted sums | 8 |
| 20 | 2 |
About Lixing Zhu
Lixing Zhu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Computational Mathematics, having authored 190 papers that have together received 3.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (138 papers), Statistical Methods and Bayesian Inference (85 papers) and Advanced Statistical Methods and Models (56 papers). The work is most often cited by research in Statistics and Probability (2.5k citations), Statistics, Probability and Uncertainty (208 citations) and Finance (205 citations). Lixing Zhu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liugen Xue, Tao Wang, Heng Peng, Xia Cui, Xu Guo, Gaorong Li, Wangli Xu, Miao Bai-qi, Wolfgang Karl Härdle and Hengjian Cui. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Biometrika.
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.