Bo Cai

3.3k citations
143 papers · 2.4k · h-index 27

Impact in

Papers in

Bo Cai

132 papers receiving 2.3k citations

Peers

Bo Cai
Comparison fields: 5 of 178
  • Statistics and Probability 309
  • Pollution 380
  • Health, Toxicology and Mutagenesis 285
  • Industrial and Manufacturing Engineering 116
  • Cognitive Neuroscience 192
Replace Lili Tian with:
Lili Tian United States
James A. Deddens United States
Wen Ye United States
Wen‐Chung Lee Taiwan
Hongmei Zhang United States
Inmaculada Aróstegui Spain
Sally W. Thurston United States
Long Ge China
Minjeong Park South Korea
Jinjin Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Bo Cai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Bo Cai Line = papers co-authored together Bo Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020280
2 2011152
3 2009116
4 202181
5 201464
6 201461
7 201761
8 201655
9 200554
10 201954
11 201254
12 202042
13 201640
14 201636
15 201436
16 201136
17 201535
18 201233
19 201631
20 201731

About Bo Cai

Bo Cai is a scholar working on Statistics and Probability, Artificial Intelligence, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Economics and Econometrics, having authored 143 papers that have together received 2.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (27 papers), Bayesian Methods and Mixture Models (24 papers), Statistical Methods and Inference (21 papers), Heavy Metal Exposure and Toxicity (8 papers), Spatial and Panel Data Analysis (7 papers), Heavy metals in environment (6 papers), Muscle Physiology and Disorders (5 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (309 citations), Pollution (380 citations), Health, Toxicology and Mutagenesis (285 citations), Industrial and Manufacturing Engineering (116 citations) and Cognitive Neuroscience (192 citations). Bo Cai has collaborated with scholars based in United States, China and South Africa. 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.

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