Cody Yu‐Ling Hsiao
About
Co-authorship network of co-authors of Cody Yu‐Ling Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Cody Yu‐Ling Hsiao. A scholar is included among the top collaborators of Cody Yu‐Ling Hsiao 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 Cody Yu‐Ling Hsiao. Cody Yu‐Ling Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Cody Yu‐Ling Hsiao
36 papers receiving 510 citations
Fields of papers citing papers by Cody Yu‐Ling Hsiao
This network shows the impact of papers produced by Cody Yu‐Ling Hsiao. 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 Cody Yu‐Ling Hsiao. The network helps show where Cody Yu‐Ling Hsiao may publish in the future.
Countries citing papers authored by Cody Yu‐Ling Hsiao
This map shows the geographic impact of Cody Yu‐Ling Hsiao'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 Cody Yu‐Ling Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cody Yu‐Ling Hsiao 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.