Local Graph Partitioning using PageRank Vectors2006 · 524 citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
2006Local Graph Partitioning using PageRank Vectors
2004IEEE Transactions on Pattern Analysis and Machine Intelligence
2002Proceedings of the National Academy of Sciences
This map shows the geographic impact of Fan Chung'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 Fan Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Chung more than expected).
This network shows the impact of papers produced by Fan Chung. 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 Fan Chung. The network helps show where Fan Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Chung, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with Fan ChungLine = papers co-authored togetherFan Chung links everyone, so they are left out of the graph.
All Works
20 of 20 papers shown
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Work
1
Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model
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.