Lueping Zhao
- Statistics and Probability top 1%
- General Health Professions top 10%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Economics and Econometrics
- Co-authors
- Stuart R. LipsitzKyungMann KimKeith DearSuojin WangC. Y. WangThomas H. PayneCharles GutteridgeYong Cui
- Topics
- Statistical Methods and Inference (6 papers)Statistical Methods and Bayesian Inference (4 papers)Advanced Statistical Methods and Models (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Lueping Zhao
13 papers receiving 710 citations
Peers
Comparison fields: 5 of 128
- Statistics and Probability 320
- General Health Professions 95
- Artificial Intelligence 63
- Public Health, Environmental and Occupational Health 59
- Economics and Econometrics 57
Countries citing papers authored by Lueping Zhao
This map shows the geographic impact of Lueping Zhao'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 Lueping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lueping Zhao more than expected).
Fields of papers citing papers by Lueping Zhao
This network shows the impact of papers produced by Lueping Zhao. 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 Lueping Zhao. The network helps show where Lueping Zhao may publish in the future.
Co-authorship network of co-authors of Lueping Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Lueping Zhao. A scholar is included among the top collaborators of Lueping Zhao 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 Lueping Zhao. Lueping Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 9 | |
| 3 | 24 | |
| 4 | 31 | |
| 5 | 2 | |
| 6 | Comparison of Two Methods for Detecting Alternative Splice Variants Using GeneChip(®) Exon Arrays. | 1 |
| 7 | 42 | |
| 8 | 19 | |
| 9 | 94 | |
| 10 | 21 | |
| 11 | 338 | |
| 12 | 51 | |
| 13 | Jackknife estimators of variance for parameter estimates from estimating equations with applications to clustered survival data. | 61 |
About Lueping Zhao
Lueping Zhao is a scholar working on Statistics and Probability, Health Information Management and Health, having authored 13 papers that have together received 740 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics and Probability (320 citations), Health Information Management (30 citations) and Otorhinolaryngology (19 citations). Lueping Zhao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Stuart R. Lipsitz, KyungMann Kim, Keith Dear, Suojin Wang, C. Y. Wang, Thomas H. Payne, Charles Gutteridge, Yong Cui, Christian Lovis and Claudia Pagliari. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Biometrics.
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.