Jianqing Fan
- Statistics and Probability top 0.01%
- Artificial Intelligence top 0.05%
- Economics and Econometrics top 0.1%
- Finance top 0.1%
- Computational Mechanics top 0.2%
- Topics
- Statistical Methods and Inference (165 papers)Advanced Statistical Methods and Models (75 papers)Financial Risk and Volatility Modeling (52 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of FinanceJournal of the American Statistical Association
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jianqing Fan
324 papers receiving 30.7k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Statistics and Probability 18.4k
- Artificial Intelligence 6.8k
- Economics and Econometrics 4.8k
- Finance 4.7k
- Computational Mechanics 2.9k
Countries citing papers authored by Jianqing Fan
This map shows the geographic impact of Jianqing Fan'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 Jianqing Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianqing Fan more than expected).
Fields of papers citing papers by Jianqing Fan
This network shows the impact of papers produced by Jianqing Fan. 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 Jianqing Fan. The network helps show where Jianqing Fan may publish in the future.
Co-authorship network of co-authors of Jianqing Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Jianqing Fan. A scholar is included among the top collaborators of Jianqing Fan 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 Jianqing Fan. Jianqing Fan 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 | 4 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 182 | |
| 7 | 158 | |
| 8 | 26 | |
| 9 | Statistical Sparse Online Regression: A Diffusion Approximation Perspective. | 6 |
| 10 | FARM-Test: Factor-Adjusted Robust Multiple Testing with False Discovery Control | 0 |
| 11 | 42 | |
| 12 | 39 | |
| 13 | Endogeneity in Ultrahigh Dimension | 6 |
| 14 | Design-adaptive minimax local linear regression for longitudinal/clustered data | 6 |
| 15 | Local quasi-likelihood estimation with data missing at random | 18 |
| 16 | 0 | |
| 17 | 37 | |
| 18 | 196 | |
| 19 | Robust Non-parametric Function Estimation | 162 |
| 20 | Design-adaptive Nonparametric Regressionbreakdown → | 834 |
About Jianqing Fan
Jianqing Fan is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 342 papers that have together received 32.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (165 papers), Advanced Statistical Methods and Models (75 papers) and Financial Risk and Volatility Modeling (52 papers). The work is most often cited by research in Statistics and Probability (18.4k citations), Finance (4.7k citations) and Computational Mathematics (179 citations). Jianqing Fan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Runze Li, Jinchi Lv, Irène Gijbels, Qiwei Yao, Yuan Liao, Heng Peng, Han Liu, Tao Huang, Rui Song and Yingying Fan. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Finance 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.