Detecting the skewness of data from the five-number summary and its application in meta-analysis2023 · 162 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.
This map shows the geographic impact of Dehui Luo'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 Dehui Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehui Luo more than expected).
This network shows the impact of papers produced by Dehui Luo. 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 Dehui Luo. The network helps show where Dehui Luo may publish in the future.
Co-authors
The 23 scholars most cited alongside Dehui Luo, 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 Dehui LuoLine = papers co-authored togetherDehui Luo links everyone, so they are left out of the graph.
Scientific Reports·Bin Zhang, Xiang Wan, I. Carballo-Trujillo, David M. D'Epagnier, Dehui Luo, Jing Liu, Long Liang, Ida Appendini, Joshua Stevens, Nina Nikolaevna Nesterova, Lu Zhang, Jemma Lenkowiec, Luiza Forest Gasperin, Siti Nadifatul Munawaroh, B SCHAFFNER, 貴 高永, S. S. Kim
2017
13
9
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range
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.