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.
This map shows the geographic impact of Jun Shao'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 Jun Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shao more than expected).
This network shows the impact of papers produced by Jun Shao. 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 Jun Shao. The network helps show where Jun Shao may publish in the future.
Co-authorship network of co-authors of Jun Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shao.
A scholar is included among the top collaborators of Jun Shao 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 Jun Shao. Jun Shao is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Lianghu & Jun Shao. (2023). Digital economy, entrepreneurship and energy efficiency. Energy. 269. 126801–126801.190 indexed citations breakdown →
Shao, Jun. (2013). Exploration the Reasons and Solutions for Cancer Overtreatment.2 indexed citations
11.
Shao, Jun & Qi Tang. (2011). Random Group Variance Estimators for Survey Data with Random Hot Deck Imputation. Journal of Official Statistics. 27(3). 507–526.1 indexed citations
12.
Shao, Jun. (2009). Nonparametric variance estimation for nearest neighbor imputation. Journal of Official Statistics. 25(1). 55–62.7 indexed citations
13.
Hu, Bo, Jun Shao, & Mari Palta. (2006). PSEUDO-R 2 IN LOGISTIC REGRESSION MODEL. Statistica Sinica. 16(3). 847–860.104 indexed citations
14.
Shao, Jun. (2003). Calculation Methods for Settlements of Immersed Tunnels Induced by Tidal Load. Journal of Tongji University.8 indexed citations
15.
Shao, Jun. (2002). Design of Turndown Collar former by the Visual Basic. Packaging Engineering.
16.
Chen, Jiahua & Jun Shao. (2000). Nearest Neighbor Imputation for Survey Data. Journal of Official Statistics. 16(2). 113–132.194 indexed citations
Shao, Jun & Xiquan Shi. (1989). Half-sample variance estimation. Communication in Statistics- Theory and Methods. 18(11). 4197–4210.4 indexed citations
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.