Haibo Zhou

5.0k total citations
166 papers, 3.6k citations indexed

About

Haibo Zhou is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haibo Zhou has authored 166 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Statistics and Probability, 21 papers in Health, Toxicology and Mutagenesis and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haibo Zhou's work include Statistical Methods and Bayesian Inference (52 papers), Statistical Methods and Inference (48 papers) and Statistical Methods in Clinical Trials (21 papers). Haibo Zhou is often cited by papers focused on Statistical Methods and Bayesian Inference (52 papers), Statistical Methods and Inference (48 papers) and Statistical Methods in Clinical Trials (21 papers). Haibo Zhou collaborates with scholars based in United States, China and Belgium. Haibo Zhou's co-authors include Matthew P. Longnecker, John W. Brock, Mark A. Klebanoff, Jianwen Cai, Xianchen Liu, Clarice R. Weinberg, Ilona Jaspers, Terry L. Noah, David B. Peden and Jianqing Fan and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Haibo Zhou

155 papers receiving 3.5k citations

Peers

Haibo Zhou
Comparison fields: 5 of 175
  • Health, Toxicology and Mutagenesis 960
  • Statistics and Probability 856
  • Physiology 301
  • Molecular Biology 300
  • Epidemiology 292
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Citations per field, relative to Haibo Zhou
Haibo Zhou · 1×
Citations per year, relative to Haibo Zhou
Haibo Zhou · 1×

Countries citing papers authored by Haibo Zhou

Since Specialization
Citations

This map shows the geographic impact of Haibo Zhou'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 Haibo Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibo Zhou more than expected).

Fields of papers citing papers by Haibo Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haibo Zhou. 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 Haibo Zhou. The network helps show where Haibo Zhou may publish in the future.

Co-authorship network of co-authors of Haibo Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Zhou. A scholar is included among the top collaborators of Haibo Zhou 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 Haibo Zhou. Haibo Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 10
4 19
5 1
6
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response
4
7 55
8 16
9 43
10 40
11 20
12 16
13
Effects of wheat-pea intercropping on the population dynamics of Sitobion avenae (Homoptera: Aphididae) and its main natural enemies
7
14 9
15
Local quasi-likelihood estimation with data missing at random
18
16
Temperature modeling study for FOG based on back-propagation neural network
6
17
TWO-STEP ESTIMATION FOR A GENERALIZED LINEAR MIXED MODEL WITH AUXILIARY COVARIATES
3
18
A generalized likelihood ratio approach for cluster-correlated data from human fertility studies
2
19 350
20 8

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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