Bo Cai
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Pollution top 2%
- Microplastics and Plastic Pollution
Papers in
-
- Statistical Methods and Bayesian Inference 26
- Statistical Methods and Inference 21
-
- Heavy Metal Exposure and Toxicity 9
- Co-authors
- Jamie R. LeadAndrew LawsonRobert E. McKeownMatteo BottaiJulius FridrikssonSuzanne McDermottDavid B. DunsonC. Marjorie Aelion
- Journals
- Statistics in Medicine (6 papers)Computational Statistics & Data Analysis (5 papers)Annals of Epidemiology (5 papers)Statistical Methods in Medical Research (4 papers)Statistical Modelling (3 papers)
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Bo Cai
129 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 182
- Statistics and Probability 311
- Pollution 375
- Health, Toxicology and Mutagenesis 307
- Industrial and Manufacturing Engineering 119
- Cognitive Neuroscience 218
Countries citing papers authored by Bo Cai
This map shows the geographic impact of Bo Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Cai more than expected).
Fields of papers citing papers by Bo Cai
This network shows the impact of papers produced by Bo Cai. 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 Cai. The network helps show where Bo Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bo Cai, 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 | 2024 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 4 | |
| 13 | 2016 | 14 | |
| 14 | 2016 | 7 | |
| 15 | 2014 | 64 | |
| 16 | 2014 | 18 | |
| 17 | 2013 | 1 | |
| 18 | 2011 | 149 | |
| 19 | 2010 | 6 | |
| 20 | Study on Coordination between Railway and Highway Transportation in Modern Logistics | 2007 | 0 |
About Bo Cai
Bo Cai is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis, Emergency Medical Services, Health and Pollution, having authored 140 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (26 papers), Bayesian Methods and Mixture Models (23 papers), Statistical Methods and Inference (21 papers), Obesity, Physical Activity, Diet (10 papers), Heavy Metal Exposure and Toxicity (9 papers), Heavy metals in environment (8 papers), Health disparities and outcomes (8 papers) and Spatial and Panel Data Analysis (7 papers). The work is most often cited by research in Statistics and Probability (311 citations), Pollution (375 citations), Health, Toxicology and Mutagenesis (307 citations), Industrial and Manufacturing Engineering (119 citations) and Cognitive Neuroscience (218 citations). Bo Cai has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Jamie R. Lead, Andrew Lawson, Robert E. McKeown, Matteo Bottai, Julius Fridriksson, Suzanne McDermott, David B. Dunson, C. Marjorie Aelion, Paul Fillmore and Jessica D. Richardson. Their work appears in journals such as Statistics in Medicine, Computational Statistics & Data Analysis, Annals of Epidemiology, Statistical Methods in Medical Research and Statistical Modelling.
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.