Xia Wang
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Biological Psychiatry top 10%
Papers in
-
- Market Dynamics and Volatility 6
- Spatial and Panel Data Analysis 6
- Economic and Environmental Valuation 6
- Co-authors
- Sanyi Tang (15 shared papers)Zeyu Liu (4 shared papers)Tian Lu (4 shared papers)Xiufen Yan (3 shared papers)Yanni Xiao (8 shared papers)Aihua Yuan (1 shared paper)Biao Tang (5 shared papers)Johnny Wong (2 shared papers)
- Journals
- Econometric Theory (4 papers)Journal of Theoretical Biology (3 papers)BMC Cancer (3 papers)Optics Express (3 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xia Wang
194 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 194
- Modeling and Simulation 337
- Biological Psychiatry 43
- Infectious Diseases 211
- Spectroscopy 202
- Behavioral Neuroscience 37
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 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 186 | |
| 2 | 2020 | 160 | |
| 3 | 2001 | 130 | |
| 4 | 2020 | 120 | |
| 5 | 2011 | 115 | |
| 6 | 2017 | 66 | |
| 7 | 2021 | 64 | |
| 8 | 2007 | 64 | |
| 9 | 2016 | 58 | |
| 10 | 2017 | 57 | |
| 11 | 2020 | 57 | |
| 12 | 2022 | 56 | |
| 13 | 2021 | 53 | |
| 14 | 2018 | 48 | |
| 15 | 2016 | 45 | |
| 16 | 2008 | 43 | |
| 17 | 2020 | 41 | |
| 18 | 2020 | 41 | |
| 19 | 2022 | 39 | |
| 20 | 2012 | 36 |
About Xia Wang
Xia Wang is a scholar working on Pulmonary and Respiratory Medicine, Economics and Econometrics, Artificial Intelligence, Computer Networks and Communications and Modeling and Simulation, having authored 212 papers that have together received 3.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Statistical Methods and Bayesian Inference (10 papers), Monetary Policy and Economic Impact (10 papers), Mobile Ad Hoc Networks (7 papers), Financial Risk and Volatility Modeling (7 papers), Market Dynamics and Volatility (6 papers), Spatial and Panel Data Analysis (6 papers) and Economic and Environmental Valuation (6 papers). The work is most often cited by research in Modeling and Simulation (337 citations), Biological Psychiatry (43 citations), Infectious Diseases (211 citations), Spectroscopy (202 citations) and Behavioral Neuroscience (37 citations). Xia Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Sanyi Tang, Zeyu Liu, Tian Lu, Xiufen Yan, Yanni Xiao, Aihua Yuan, Biao Tang, Johnny Wong, Nicola Luigi Bragazzi and Robert Cheke. Their work appears in journals such as Econometric Theory, Journal of Theoretical Biology, BMC Cancer, Optics Express and PLoS ONE.
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.