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.
Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction
2013353 citationsDemei Shen, Moon‐Heum Cho et al.The Internet and Higher Educationprofile →
Leaving Engineering: A Multi‐Year Single Institution Study
2012340 citationsRose M. Marra, Kelly Rodgers et al.Journal of Engineering Educationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Demei Shen'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 Demei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Demei Shen more than expected).
This network shows the impact of papers produced by Demei Shen. 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 Demei Shen. The network helps show where Demei Shen may publish in the future.
Co-authorship network of co-authors of Demei Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Demei Shen.
A scholar is included among the top collaborators of Demei Shen 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 Demei Shen. Demei Shen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Marra, Rose M., Kelly Rodgers, Demei Shen, & Barbara Bogue. (2012). Leaving Engineering: A Multi‐Year Single Institution Study. Journal of Engineering Education. 101(1). 6–27.340 indexed citations breakdown →
Shen, Demei, et al.. (2010). Relationships Between Self-Regulation and Social Experiences in Asynchronous Online Learning Environments. The Journal of Interactive Learning Research. 21(3). 297–316.51 indexed citations
Shen, Demei, et al.. (2008). Managing Web-based Learning Resources for K-12 Education: Lessons Learned from Web Analytics. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2008(1). 470–475.2 indexed citations
Shen, Demei, James M. Laffey, Yimei Lin, & Xinxin Huang. (2006). Social Influence for Perceived Usefulness and Ease-of-Use of Course Delivery Systems.. 5(3). 270–282.100 indexed citations
16.
Huang, Xinxin, Demei Shen, Bosung Kim, et al.. (2006). Social Nature of Online Learning in Sakai. EdMedia: World Conference on Educational Media and Technology. 2006(1). 613–620.1 indexed citations
17.
Shen, Demei, et al.. (2006). Effect of Different Discussion Structures in Online Case-Based Instruction. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2006(1). 2442–2447.1 indexed citations
18.
Huang, Xinxin, et al.. (2005). Understanding computer mediated social experience: Implications for CSCL. Computer Supported Collaborative Learning. 617–621.1 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.