Lucy Xia
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
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- BRCA gene mutations in cancer
- Genetic Associations and Epidemiology
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 4
- BRCA gene mutations in cancer 2
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- Statistical Methods and Inference 5
- Advanced Causal Inference Techniques 1
- Co-authors
- Brian E. Henderson (4 shared papers)Jingyi Jessica Li (1 shared paper)Christopher A. Haiman (6 shared papers)Xin Sheng (5 shared papers)Loı̈c Le Marchand (4 shared papers)Daniel O. Stram (3 shared papers)Chris Hsu (2 shared papers)Laurence N. Kolonel (2 shared papers)
- Journals
- Journal of Econometrics (3 papers)Nature Communications (1 paper)Electronic Journal of Statistics (1 paper)Journal of the American Statistical Association (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesHong KongAustralia
In The Last Decade
Lucy Xia
15 papers receiving 204 citations
Peers
Comparison fields: 5 of 72
- Statistics and Probability 23
- Genetics 58
- Biophysics 10
- Cancer Research 23
- Molecular Biology 80
Countries citing papers authored by Lucy Xia
This map shows the geographic impact of Lucy Xia'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 Lucy Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucy Xia more than expected).
Fields of papers citing papers by Lucy Xia
This network shows the impact of papers produced by Lucy Xia. 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 Lucy Xia. The network helps show where Lucy Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucy Xia, 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 | 2013 | 55 | |
| 2 | 2024 | 30 | |
| 3 | 2005 | 24 | |
| 4 | 2009 | 22 | |
| 5 | 2007 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 5 | |
| 9 | 2014 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | Neyman-Pearson classification: parametrics and sample size requirement | 2020 | 2 |
| 15 | Neyman-Pearson classification: parametrics and power enhancement | 2018 | 1 |
| 16 | 2024 | 0 |
About Lucy Xia
Lucy Xia is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Artificial Intelligence and Oncology, having authored 16 papers that have together received 206 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Genetic Associations and Epidemiology (4 papers), BRCA gene mutations in cancer (2 papers), Imbalanced Data Classification Techniques (2 papers), Advanced Causal Inference Techniques (1 paper), Economic and Environmental Valuation (1 paper), Hate Speech and Cyberbullying Detection (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Statistics and Probability (23 citations), Genetics (58 citations), Biophysics (10 citations), Cancer Research (23 citations) and Molecular Biology (80 citations). Lucy Xia has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Brian E. Henderson, Jingyi Jessica Li, Christopher A. Haiman, Xin Sheng, Loı̈c Le Marchand, Daniel O. Stram, Chris Hsu, Laurence N. Kolonel, Jianqing Fan and Yang Feng. Their work appears in journals such as Journal of Econometrics, Nature Communications, Electronic Journal of Statistics, Journal of the American Statistical Association and Human Genetics.
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.