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.
The Effects of Student-Faculty Interaction In the 1990s
2001504 citationsGeorge D. Kuh, Shouping Huprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Shouping Hu'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 Shouping Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shouping Hu more than expected).
This network shows the impact of papers produced by Shouping Hu. 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 Shouping Hu. The network helps show where Shouping Hu may publish in the future.
Co-authorship network of co-authors of Shouping Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Shouping Hu.
A scholar is included among the top collaborators of Shouping Hu 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 Shouping Hu. Shouping Hu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chen, Guosheng, et al.. (2021). How to deal with the transmission of SARS-COV-2 on the surface of Cold-chain foods to people: a review. SHILAP Revista de lepidopterología.2 indexed citations
Mokher, Christine G., Toby J. Park-Gaghan, & Shouping Hu. (2020). Accelerating to Success: The Impact of Florida's Developmental Education Reform on Credit Accumulation.. Grantee Submission. 122(12).1 indexed citations
10.
Park-Gaghan, Toby J., et al.. (2018). Developmental Education Reform and the Racial/Ethnic Achievement Gap: The Case of First-Semester Gateway Course Passing Rates When Florida Made Developmental Education Optional.. Grantee Submission. 120.1 indexed citations
Hu, Shouping, et al.. (2009). Valuation of protective efficacy of PRRS attenuated vaccine and inactivated mutant PRRSV strains.. Zhongguo yufang shouyi xuebao. 31(5). 392–396.6 indexed citations
14.
John, Edward P. St., et al.. (2009). Diversity and Leadership: A Study of High-Achieving Students of Color.. The Journal of Negro Education. 78(1). 17–28.7 indexed citations
Rossi, Michael, Martín Finkelstein, & Shouping Hu. (2003). The Impact of an Educational Intervention on Faculty and Administrator Knowledge and Attitude to Student Course Evaluations.. The journal of faculty development. 19(1). 5–14.1 indexed citations
17.
Hu, Shouping. (2003). Educational Aspirations and Postsecondary Access and Choice: Students in Urban, Suburban, and Rural Schools Compared.. Education Policy Analysis Archives. 11(14).40 indexed citations
18.
Kuh, George D. & Shouping Hu. (2001). The Relationships Between Computer and Information Technology Use, Selected Learning and Personal Development Outcomes, and Other College Experiences. Journal of college student development. 42(3). 217–232.74 indexed citations
19.
Hu, Shouping & George D. Kuh. (2001). Computing Experience and Good Practices in Undergraduate Education: Does the Degree of Campus Wiredness Matter?.. Education Policy Analysis Archives. 2001(1).15 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.