Xia Wang
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 7
- Statistical Distribution Estimation and Applications 6
-
- COVID-19 epidemiological studies 13
- Co-authors
- Zeyu Liu (4 shared papers)Tian Lu (4 shared papers)Xiufen Yan (3 shared papers)Sanyi Tang (14 shared papers)Aihua Yuan (2 shared papers)Tomáš Vitvar (3 shared papers)Mick Kerrigan (1 shared paper)Ioan Toma (1 shared paper)
- Journals
- Econometric Theory (4 papers)Journal of Theoretical Biology (3 papers)BMC Cancer (3 papers)Scientific Reports (2 papers)Biometrics (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xia Wang
197 papers receiving 3.3k citations
Xia Wang's Hit Papers
Peers
Comparison fields: 5 of 196
- Aging 78
- Modeling and Simulation 164
- Spectroscopy 207
- Health, Toxicology and Mutagenesis 128
- Computer Networks and Communications 192
Countries citing papers authored by Xia Wang
This map shows the geographic impact of Xia Wang'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 Xia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Wang more than expected).
Fields of papers citing papers by Xia Wang
This network shows the impact of papers produced by Xia Wang. 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 Xia Wang. The network helps show where Xia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biomarkers of aging Hit paper breakdown → | 2023 | 300 |
| 2 | 2021 | 212 | |
| 3 | 2006 | 177 | |
| 4 | 2001 | 131 | |
| 5 | 2020 | 130 | |
| 6 | 2011 | 123 | |
| 7 | 2007 | 75 | |
| 8 | 2021 | 73 | |
| 9 | 2017 | 67 | |
| 10 | 2022 | 66 | |
| 11 | 2020 | 61 | |
| 12 | 2021 | 60 | |
| 13 | 2018 | 57 | |
| 14 | 2022 | 48 | |
| 15 | 2020 | 45 | |
| 16 | 2015 | 44 | |
| 17 | 2021 | 42 | |
| 18 | 2009 | 39 | |
| 19 | 2014 | 38 | |
| 20 | 2012 | 37 |
About Xia Wang
Xia Wang is a scholar working on Statistics and Probability, Modeling and Simulation, Pulmonary and Respiratory Medicine, Artificial Intelligence and Computer Networks and Communications, having authored 214 papers that have together received 3.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (13 papers), Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (7 papers), Service-Oriented Architecture and Web Services (6 papers), Financial Risk and Volatility Modeling (6 papers), Statistical Distribution Estimation and Applications (6 papers), Mobile Ad Hoc Networks (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Aging (78 citations), Modeling and Simulation (164 citations), Spectroscopy (207 citations), Health, Toxicology and Mutagenesis (128 citations) and Computer Networks and Communications (192 citations). Xia Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zeyu Liu, Tian Lu, Xiufen Yan, Sanyi Tang, Aihua Yuan, Tomáš Vitvar, Mick Kerrigan, Ioan Toma, Johnny Wong and Yanni Xiao. Their work appears in journals such as Econometric Theory, Journal of Theoretical Biology, BMC Cancer, Scientific Reports 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.