Zhaohua Lu
- Statistics and Probability top 2%
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 12
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- Childhood Cancer Survivors' Quality of Life 24
- Ethics and Legal Issues in Pediatric Healthcare 9
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- Family and Patient Care in Intensive Care Units 6
- Health Informatics top 10%
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- Palliative Care and End-of-Life Issues 15
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- Bayesian Methods and Mixture Models 5
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- Mental Health Research Topics 5
- Co-authors
- Hongtu ZhuSy‐Miin ChowJustin N. BakerXinyuan SongApril SykesErica C. KayeEric LokenDeena R. Levine
- Cited by
- Statistics and ProbabilityPediatrics, Perinatology and Child HealthRadiological and Ultrasound Technology
- Journals
- Journal of the American Statistical Association (2 papers)NeuroImage (1 paper)Cancer (5 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Zhaohua Lu
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 161
- Statistics and Probability 223
- Pediatrics, Perinatology and Child Health 465
- Radiological and Ultrasound Technology 96
- Health Informatics 19
- Public Health, Environmental and Occupational Health 330
Countries citing papers authored by Zhaohua Lu
This map shows the geographic impact of Zhaohua Lu'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 Zhaohua Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaohua Lu more than expected).
Fields of papers citing papers by Zhaohua Lu
This network shows the impact of papers produced by Zhaohua Lu. 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 Zhaohua Lu. The network helps show where Zhaohua Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhaohua Lu, 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 | 6 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 30 | |
| 12 | 2019 | 26 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 5 | |
| 16 | 2018 | 9 | |
| 17 | 2018 | 44 | |
| 18 | 2017 | 16 | |
| 19 | 2016 | 61 | |
| 20 | 2013 | 6 |
About Zhaohua Lu
Zhaohua Lu is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and Radiological and Ultrasound Technology, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Childhood Cancer Survivors' Quality of Life (24 papers), Palliative Care and End-of-Life Issues (15 papers), Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (12 papers), Ethics and Legal Issues in Pediatric Healthcare (9 papers), Family and Patient Care in Intensive Care Units (6 papers), Bayesian Methods and Mixture Models (5 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Statistics and Probability (223 citations), Pediatrics, Perinatology and Child Health (465 citations) and Radiological and Ultrasound Technology (96 citations). Zhaohua Lu has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Hongtu Zhu, Sy‐Miin Chow, Justin N. Baker, Xinyuan Song, April Sykes, Erica C. Kaye, Eric Loken, Xinyuan Song, Deena R. Levine and Liza‐Marie Johnson. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage and Cancer.
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.