Wei Luo
- Clinical Psychology top 0.5%
- Modeling and Simulation top 0.1%
- Economics and Econometrics top 0.5%
- Sociology and Political Science top 2%
- Health top 0.5%
- Co-authors
- Bao‐Liang ZhongYi LiMarie DesMeulesMauricio SantillanaAlexander M. ClarkShengjie LaiA WielgoszAmanda S. Duncan
- Topics
- COVID-19 epidemiological studies (17 papers)Mental Health Treatment and Access (15 papers)Schizophrenia research and treatment (13 papers)
- Journals
- NatureThe LancetCirculation
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wei Luo
161 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Clinical Psychology 1.9k
- Modeling and Simulation 1.8k
- Economics and Econometrics 1.3k
- Sociology and Political Science 890
- Health 820
Countries citing papers authored by Wei Luo
This map shows the geographic impact of Wei Luo'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 Wei Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Luo more than expected).
Fields of papers citing papers by Wei Luo
This network shows the impact of papers produced by Wei Luo. 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 Wei Luo. The network helps show where Wei Luo may publish in the future.
Co-authorship network of co-authors of Wei Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Luo. A scholar is included among the top collaborators of Wei Luo 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 Wei Luo. Wei Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 41 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | Social physicsbreakdown → | 375 |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 13 | |
| 15 | Prevalence of depressive symptoms among Chinese university students amid the COVID-19 pandemic: a systematic review and meta-analysisbreakdown → | 131 |
| 16 | 115 | |
| 17 | 42 | |
| 18 | Community Resilience in Maricopa County, Arizona, USA: The Analysis of Indoor Heat-Related Death and Urban Thermal Environment | 2 |
| 19 | 12 | |
| 20 | 18 |
About Wei Luo
Wei Luo is a scholar working on Modeling and Simulation, Health and Transportation, having authored 175 papers that have together received 6.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Mental Health Treatment and Access (15 papers) and Schizophrenia research and treatment (13 papers). The work is most often cited by research in Modeling and Simulation (1.8k citations), Health (820 citations) and Clinical Psychology (1.9k citations). Wei Luo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bao‐Liang Zhong, Yi Li, Marie DesMeules, Mauricio Santillana, Alexander M. Clark, Shengjie Lai, A Wielgosz, Amanda S. Duncan, Alan M. MacEachren and Hongjie Yu. Their work appears in journals such as Nature, The Lancet and Circulation.
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.