Ouhao Chen

1.2k citations
30 papers · 731 indexed · 1 hit paper · h-index 14

Ouhao Chen

26 papers receiving 708 citations

Hit Papers

A Cognitive Load Theory Approach to Defining and Measurin...732023202620242025204060

Peers

Ouhao Chen
Comparison fields: 5 of 84
  • Experimental and Cognitive Psychology 404
  • Developmental and Educational Psychology 355
  • Computer Science Applications 61
  • Education 254
  • Artificial Intelligence 198
Replace Maria Opfermann with:
Maria Opfermann Germany
Krista E. DeLeeuw United States
Michael J. Serra United States
Ron Salden United States
Jason R. Finley United States
William Baggett United States
Jeri L. Little United States
Laura J. Massa United States
Gino Camp Netherlands
Allison J. Jaeger United States
Ouhao Chen relative to Maria Opfermann Germany Maria Opfermann's profile →
Citations per field
00.5×3.9×
Maria Opfermann · 1×
Citations per year

Countries citing papers authored by Ouhao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ouhao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ouhao 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 Ouhao Chen. The network helps show where Ouhao Chen may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Ouhao Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ouhao Chen Line = papers co-authored together Ouhao Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5
A Cognitive Load Theory Approach to Defining and Measuring Task Complexity Through Element Interactivitybreakdown →
202373
6 20233
7 20234
8 20234
9 20220
10 20222
11 20219
12 20211
13 20212
14 20194
15 201915
16 201823
17 201819
18 201816
19 2016120
20 201598

About Ouhao Chen

Ouhao Chen is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Human Factors and Ergonomics, having authored 30 papers that have together received 731 indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (23 papers), Innovative Teaching and Learning Methods (17 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers), Learning Styles and Cognitive Differences (4 papers), Science Education and Pedagogy (4 papers), Neural and Behavioral Psychology Studies (3 papers), Innovations in Educational Methods (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (404 citations), Developmental and Educational Psychology (355 citations) and Computer Science Applications (61 citations). Ouhao Chen has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include John Sweller, Slava Kalyuga, Fred Paas, Juan C. Castro-Alonso, Endah Retnowati, Geoff Woolcott, Ying Wang, Lijia Lin, Emmanuel Manalo and Christopher Lange. Their work appears in journals such as Educational Psychology Review, British Journal of Educational Psychology, Educational Psychology, Frontiers in Psychology and European Journal of Psychology of Education.

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.

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