Chengxi Zang

23 papers and 293 indexed citations i.

About

Chengxi Zang is a scholar working on Neurology, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Chengxi Zang has authored 23 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Artificial Intelligence and 5 papers in Clinical Psychology. Recurrent topics in Chengxi Zang’s work include Long-Term Effects of COVID-19 (7 papers), Machine Learning in Healthcare (5 papers) and COVID-19 Clinical Research Studies (3 papers). Chengxi Zang is often cited by papers focused on Long-Term Effects of COVID-19 (7 papers), Machine Learning in Healthcare (5 papers) and COVID-19 Clinical Research Studies (3 papers). Chengxi Zang collaborates with scholars based in United States, China and Germany. Chengxi Zang's co-authors include Fei Wang, Jason P. Block, Mark G. Weiner, Russell L. Rothman, Thomas W. Carton, Dhruv Khullar, Rainu Kaushal, Yongkang Zhang, Zhenxing Xu and Fei Wang and has published in prestigious journals such as Nature Medicine, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Chengxi Zang i

Fields of papers citing papers by Chengxi Zang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Chengxi Zang

Since Specialization
Citations

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).

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.

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2025