Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm
This map shows the geographic impact of Xumin Liu'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 Xumin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xumin Liu more than expected).
This network shows the impact of papers produced by Xumin Liu. 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 Xumin Liu. The network helps show where Xumin Liu may publish in the future.
Co-authorship network of co-authors of Xumin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xumin Liu.
A scholar is included among the top collaborators of Xumin Liu 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 Xumin Liu. Xumin Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bouguettaya, Athman, Denis Gračanin, Qi Yu, et al.. (2006). Ubiquitous web services for e-government social services. RMIT Research Repository (RMIT University Library). 1–3.2 indexed citations
19.
Liu, Xumin. (2006). The Research of Anisotropic Diffusion. Computer Engineering and Applications Journal.
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.