Pu‐Shih Daniel Chen

1.2k total citations · 1 hit paper
14 papers, 789 citations indexed

About

Pu‐Shih Daniel Chen is a scholar working on Education, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Pu‐Shih Daniel Chen has authored 14 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 3 papers in Sociology and Political Science and 2 papers in Political Science and International Relations. Recurrent topics in Pu‐Shih Daniel Chen's work include Higher Education Research Studies (7 papers), Evaluation of Teaching Practices (6 papers) and Innovations in Educational Methods (4 papers). Pu‐Shih Daniel Chen is often cited by papers focused on Higher Education Research Studies (7 papers), Evaluation of Teaching Practices (6 papers) and Innovations in Educational Methods (4 papers). Pu‐Shih Daniel Chen collaborates with scholars based in United States and Finland. Pu‐Shih Daniel Chen's co-authors include Amber D. Lambert, Kevin R. Guidry, George D. Kuh, Robert M. Gonyea, Patricia Simpson, Thomas F. Nelson Laird, Gary R. Pike, Alexander C. McCormick, Barrett J. Taylor and Rick Shoup and has published in prestigious journals such as Computers & Education, The Journal of Higher Education and Research in Higher Education.

In The Last Decade

Pu‐Shih Daniel Chen

14 papers receiving 694 citations

Hit Papers

align trajectories

What are hit papers?

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.

Engaging online learners: The impact of Web-based learning technology on college student engagement

2009 514 citations Pu‐Shih Daniel Chen, Amber D. Lambert et al. Computers & Education profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pu‐Shih Daniel Chen United States	10	568	160	148	125	114	14	789
Amber D. Lambert United States	9	570 1.0×	143 0.9×	127 0.9×	214 1.7×	160 1.4×	11	889
Marc Clarà Spain	15	612 1.1×	189 1.2×	167 1.1×	87 0.7×	88 0.8×	44	872
Ormond Simpson United Kingdom	14	789 1.4×	310 1.9×	168 1.1×	71 0.6×	85 0.7×	34	1.0k
Youngju Lee United States	9	780 1.4×	299 1.9×	286 1.9×	106 0.8×	96 0.8×	23	1.1k
Mindy L. Kornhaber United States	11	605 1.1×	130 0.8×	154 1.0×	96 0.8×	156 1.4×	22	943
Douglas McDougall Canada	14	688 1.2×	53 0.3×	184 1.2×	85 0.7×	102 0.9×	33	905
Shana Shaw United States	5	663 1.2×	209 1.3×	223 1.5×	74 0.6×	87 0.8×	7	831
Terrie Lynn Thompson Canada	13	366 0.6×	204 1.3×	155 1.0×	136 1.1×	56 0.5×	37	738
Sarah Gielen Belgium	17	1.2k 2.0×	97 0.6×	359 2.4×	84 0.7×	126 1.1×	38	1.4k
Dianne Conrad Canada	13	603 1.1×	203 1.3×	192 1.3×	76 0.6×	100 0.9×	37	785

Countries citing papers authored by Pu‐Shih Daniel Chen

Since Specialization

Citations

This map shows the geographic impact of Pu‐Shih Daniel Chen'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 Pu‐Shih Daniel Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu‐Shih Daniel Chen more than expected).

Fields of papers citing papers by Pu‐Shih Daniel Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu‐Shih Daniel Chen. 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 Pu‐Shih Daniel Chen. The network helps show where Pu‐Shih Daniel Chen may publish in the future.

Co-authorship network of co-authors of Pu‐Shih Daniel Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pu‐Shih Daniel Chen. A scholar is included among the top collaborators of Pu‐Shih Daniel Chen 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 Pu‐Shih Daniel Chen. Pu‐Shih Daniel Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Chen, Pu‐Shih Daniel, et al.. (2018). Impact of funding allocation on physical therapist research productivity and DPT student graduates: an analysis using panel data. Advances in Health Sciences Education. 24(2). 269–285. 9 indexed citations

Chen, Pu‐Shih Daniel, et al.. (2016). Transparency for Whom? Impacts of Accountability Movements for Institutional Researchers and Beyond. New Directions for Institutional Research. 2015(166). 11–21. 8 indexed citations

Chen, Pu‐Shih Daniel, et al.. (2016). Assessment, Evaluation, and Research. New Directions for Higher Education. 2016(175). 85–92. 2 indexed citations

Chen, Pu‐Shih Daniel & Patricia Simpson. (2015). Does Personality Matter? Applying Holland's Typology to Analyze Students' Self-Selection into Science, Technology, Engineering, and Mathematics Majors. The Journal of Higher Education. 86(5). 725–750. 18 indexed citations

Chen, Pu‐Shih Daniel & Patricia Simpson. (2015). Does Personality Matter?: Applying Holland’s Typology to Analyze Students’ Self-Selection into Science, Technology Engineering, and Mathematics Majors. The Journal of Higher Education. 86(5). 725–750. 19 indexed citations

Chen, Pu‐Shih Daniel, et al.. (2014). Bridging Student Engagement and Satisfaction: A Comparison between Historically Black Colleges and Universities and Predominantly White Institutions. The Journal of Negro Education. 83(4). 565–565. 34 indexed citations

Chen, Pu‐Shih Daniel. (2011). Finding Quality Responses: The Problem of Low-Quality Survey Responses and Its Impact on Accountability Measures. Research in Higher Education. 52(7). 659–674. 22 indexed citations

Chen, Pu‐Shih Daniel, Robert M. Gonyea, Shimon Sarraf, et al.. (2009). Analyzing and interpreting NSSE data. New Directions for Institutional Research. 2009(141). 35–54. 7 indexed citations

Chen, Pu‐Shih Daniel, Amber D. Lambert, & Kevin R. Guidry. (2009). Engaging online learners: The impact of Web-based learning technology on college student engagement. Computers & Education. 54(4). 1222–1232. 514 indexed citations breakdown →

10.

Chen, Pu‐Shih Daniel & Robert M. Gonyea. (2009). Learning at a Distance. 9 indexed citations

11.

Chen, Pu‐Shih Daniel, Robert M. Gonyea, & George D. Kuh. (2008). Learning at a Distance: Engaged or Not?. NSUWorks (Nova Southeastern University). 4(3). 3. 66 indexed citations

12.

McCormick, Alexander C., Gary R. Pike, George D. Kuh, & Pu‐Shih Daniel Chen. (2008). Comparing the Utility of the 2000 and 2005 Carnegie Classification Systems in Research on Students’ College Experiences and Outcomes. Research in Higher Education. 50(2). 144–167. 23 indexed citations

13.

Laird, Thomas F. Nelson, Pu‐Shih Daniel Chen, & George D. Kuh. (2008). Classroom practices at institutions with higher‐than‐expected persistence rates: What student engagement data tell us. New Directions for Teaching and Learning. 2008(115). 85–99. 56 indexed citations

14.

Chen, Pu‐Shih Daniel, et al.. (2006). How Colleges Differ in their Efforts to Promote Moral and Ethical Development in College. Religion & Education. 33(2). 47–63. 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.

Explore authors with similar magnitude of impact