Jin You
About
In The Last Decade
Co-authorship network of co-authors of Jin You
This figure shows the co-authorship network connecting the top 25 collaborators of Jin You. A scholar is included among the top collaborators of Jin You 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 Jin You. Jin You is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Jin You
27 papers receiving 506 citations
Fields of papers citing papers by Jin You
This network shows the impact of papers produced by Jin You. 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 Jin You. The network helps show where Jin You may publish in the future.
Countries citing papers authored by Jin You
This map shows the geographic impact of Jin You'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 Jin You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin You more than expected).
Top Papers & Citation Paths
Explore Jin You's most cited publications and discover how their work connects to other scholars through citations.
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.