Chengxi Zang
- Neurology top 10%
- Clinical Psychology
- Infectious Diseases
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Co-authors
- Peng CuiChristos FaloutsosThomas W. CartonMark G. WeinerRainu KaushalRussell L. RothmanYongkang ZhangDhruv Khullar
- Topics
- Complex Network Analysis Techniques (9 papers)Opinion Dynamics and Social Influence (8 papers)Long-Term Effects of COVID-19 (7 papers)
- Journals
- Nature MedicineNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Chengxi Zang
30 papers receiving 406 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Neurology 184
- Clinical Psychology 80
- Infectious Diseases 78
- Statistical and Nonlinear Physics 66
- Artificial Intelligence 62
Countries citing papers authored by Chengxi Zang
This map shows the geographic impact of Chengxi Zang'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 Chengxi Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengxi Zang more than expected).
Fields of papers citing papers by Chengxi Zang
This network shows the impact of papers produced by Chengxi Zang. 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 Chengxi Zang. The network helps show where Chengxi Zang may publish in the future.
Co-authorship network of co-authors of Chengxi Zang
This figure shows the co-authorship network connecting the top 25 collaborators of Chengxi Zang. A scholar is included among the top collaborators of Chengxi Zang 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 Chengxi Zang. Chengxi Zang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | 27 | |
| 11 | Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Programbreakdown → | 70 |
| 12 | 8 | |
| 13 | Data-driven identification of post-acute SARS-CoV-2 infection subphenotypesbreakdown → | 108 |
| 14 | 17 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 26 |
About Chengxi Zang
Chengxi Zang is a scholar working on Health Informatics, Statistical and Nonlinear Physics and Neurology, having authored 30 papers that have together received 415 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (8 papers) and Long-Term Effects of COVID-19 (7 papers). The work is most often cited by research in Neurology (184 citations), Critical Care and Intensive Care Medicine (54 citations) and Statistical and Nonlinear Physics (66 citations). Chengxi Zang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Peng Cui, Christos Faloutsos, Thomas W. Carton, Mark G. Weiner, Rainu Kaushal, Russell L. Rothman, Yongkang Zhang, Dhruv Khullar, Jason P. Block and Zhenxing Xu. Their work appears in journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.
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.