Hailing Tang
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Co-authorship network of co-authors of Hailing Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Hailing Tang. A scholar is included among the top collaborators of Hailing Tang 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 Hailing Tang. Hailing Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Hailing Tang
23 papers receiving 380 citations
Fields of papers citing papers by Hailing Tang
This network shows the impact of papers produced by Hailing Tang. 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 Hailing Tang. The network helps show where Hailing Tang may publish in the future.
Countries citing papers authored by Hailing Tang
This map shows the geographic impact of Hailing Tang'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 Hailing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Tang 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.