Bo Kai
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistical Methods and Inference 7
- Advanced Statistical Methods and Models 5
- Statistical Methods and Bayesian Inference 3
-
- Sparse and Compressive Sensing Techniques 2
- Co-authors
- Runze Li (3 shared papers)Hui Zou (2 shared papers)Lan Wang (2 shared papers)Haonan Wang (1 shared paper)C. Shaun Wagner (2 shared papers)Brent M. Egan (3 shared papers)Guolong Lu (1 shared paper)J. Torin Huzil (1 shared paper)
- Journals
- Journal of Clinical Hypertension (2 papers)Bioscience Reports (1 paper)Journal of the American Society of Hypertension (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Bo Kai
17 papers receiving 560 citations
Peers
Comparison fields: 5 of 76
- Statistics and Probability 449
- Statistics, Probability and Uncertainty 41
- Control and Systems Engineering 103
- Artificial Intelligence 116
- Finance 32
Countries citing papers authored by Bo Kai
This map shows the geographic impact of Bo Kai'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 Bo Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Kai more than expected).
Fields of papers citing papers by Bo Kai
This network shows the impact of papers produced by Bo Kai. 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 Bo Kai. The network helps show where Bo Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Kai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 247 | |
| 2 | 2010 | 166 | |
| 3 | 2009 | 54 | |
| 4 | 2024 | 24 | |
| 5 | 2016 | 21 | |
| 6 | 2006 | 18 | |
| 7 | 2014 | 10 | |
| 8 | 2016 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2013 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2013 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2014 | 1 |
About Bo Kai
Bo Kai is a scholar working on Statistics and Probability, Computational Mechanics, Electronic, Optical and Magnetic Materials, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 580 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Bayesian Inference (3 papers), Supercapacitor Materials and Fabrication (3 papers), Control Systems and Identification (2 papers), Blood Pressure and Hypertension Studies (2 papers), Sodium Intake and Health (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Statistics and Probability (449 citations), Statistics, Probability and Uncertainty (41 citations), Control and Systems Engineering (103 citations), Artificial Intelligence (116 citations) and Finance (32 citations). Bo Kai has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Runze Li, Hui Zou, Lan Wang, Haonan Wang, C. Shaun Wagner, Brent M. Egan, Guolong Lu, J. Torin Huzil, Hong‐Ying Zang and Song Liang. Their work appears in journals such as Journal of Clinical Hypertension, Bioscience Reports, Journal of the American Society of Hypertension, Physica A Statistical Mechanics and its Applications and The Annals of Statistics.
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.