Cong Chen

37 papers and 323 indexed citations i.

About

Cong Chen is a scholar working on Statistics and Probability, Management Science and Operations Research and Cancer Research. According to data from OpenAlex, Cong Chen has authored 37 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 15 papers in Management Science and Operations Research and 9 papers in Cancer Research. Recurrent topics in Cong Chen’s work include Statistical Methods in Clinical Trials (27 papers), Optimal Experimental Design Methods (14 papers) and Cancer Genomics and Diagnostics (8 papers). Cong Chen is often cited by papers focused on Statistical Methods in Clinical Trials (27 papers), Optimal Experimental Design Methods (14 papers) and Cancer Genomics and Diagnostics (8 papers). Cong Chen collaborates with scholars based in United States, China and United Kingdom. Cong Chen's co-authors include Xiaoyun Li, Linda Sun, Eric H. Rubin, Heng Zhou, Devan V. Mehrotra, Archie Tse, Robert A. Beckman, Cai Wu, Keaven M. Anderson and Zhibo Hou and has published in prestigious journals such as Blood, Statistics in Medicine and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Co-authorship network of co-authors of Cong Chen i

Fields of papers citing papers by Cong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong Chen. 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 Cong Chen. The network helps show where Cong Chen may publish in the future.

Countries citing papers authored by Cong Chen

Since Specialization
Citations

This map shows the geographic impact of Cong Chen'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 Cong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Chen 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025