This map shows the geographic impact of Jingli Yang'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 Jingli Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingli Yang more than expected).
This network shows the impact of papers produced by Jingli Yang. 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 Jingli Yang. The network helps show where Jingli Yang may publish in the future.
Co-authorship network of co-authors of Jingli Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jingli Yang.
A scholar is included among the top collaborators of Jingli Yang 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 Jingli Yang. Jingli Yang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
5 of 5 papers shown
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Work
Indexed citations
1
Link Loss Inference Algorithm with Minimal Cover Set and Compressive Sensing for Unicast Network Measurements.
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.