Yee-Ming Chan
About
In The Last Decade
Co-authorship network of co-authors of Yee-Ming Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Yee-Ming Chan. A scholar is included among the top collaborators of Yee-Ming Chan 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 Yee-Ming Chan. Yee-Ming Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Yee-Ming Chan
86 papers receiving 3.0k citations
Fields of papers citing papers by Yee-Ming Chan
This network shows the impact of papers produced by Yee-Ming Chan. 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 Yee-Ming Chan. The network helps show where Yee-Ming Chan may publish in the future.
Countries citing papers authored by Yee-Ming Chan
This map shows the geographic impact of Yee-Ming Chan'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 Yee-Ming Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yee-Ming Chan more than expected).
Top Papers & Citation Paths
Explore Yee-Ming Chan'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.