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.
Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy
This map shows the geographic impact of Guofu Zhou'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 Guofu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guofu Zhou more than expected).
This network shows the impact of papers produced by Guofu Zhou. 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 Guofu Zhou. The network helps show where Guofu Zhou may publish in the future.
Co-authorship network of co-authors of Guofu Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Guofu Zhou.
A scholar is included among the top collaborators of Guofu Zhou 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 Guofu Zhou. Guofu Zhou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Neuhierl, Andreas, et al.. (2022). Option characteristics as cross-sectional predictors. CBS Research Portal (Copenhagen Business School).1 indexed citations
Zhou, Guofu, et al.. (2020). Extracting Information from the Corporate Yield Curve: A Machine Learning Approach. SSRN Electronic Journal.1 indexed citations
12.
Huang, Dashan, et al.. (2020). Tests of Asset Pricing Models with A Large Number of Assets. Singapore Management University Institutional Knowledge (InK) (Singapore Management University).1 indexed citations
Lamoureux, Christopher G. & Guofu Zhou. (1996). Temporary Components of Stock Returns: What Do the Data Tell Us?. SSRN Electronic Journal.2 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.