Ouhao Chen

1.2k total citations · 1 hit paper
30 papers, 731 citations indexed

About

Ouhao Chen is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Ouhao Chen has authored 30 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Experimental and Cognitive Psychology, 20 papers in Developmental and Educational Psychology and 12 papers in Artificial Intelligence. Recurrent topics in Ouhao Chen's work include Visual and Cognitive Learning Processes (23 papers), Innovative Teaching and Learning Methods (17 papers) and Intelligent Tutoring Systems and Adaptive Learning (11 papers). Ouhao Chen is often cited by papers focused on Visual and Cognitive Learning Processes (23 papers), Innovative Teaching and Learning Methods (17 papers) and Intelligent Tutoring Systems and Adaptive Learning (11 papers). Ouhao Chen collaborates with scholars based in Australia, United Kingdom and Singapore. Ouhao Chen's co-authors include John Sweller, Slava Kalyuga, Fred Paas, Juan C. Castro-Alonso, Endah Retnowati, Geoff Woolcott, Lijia Lin, Ying Wang, Emmanuel Manalo and Christopher Lange and has published in prestigious journals such as Journal of Educational Psychology, Frontiers in Psychology and Educational Psychology Review.

In The Last Decade

Ouhao Chen

26 papers receiving 708 citations

Hit Papers

A Cognitive Load Theory Approach to Defining and Measurin... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ouhao Chen Australia 14 404 355 254 198 72 30 731
Rolf Schwonke Germany 14 415 1.0× 570 1.6× 361 1.4× 199 1.0× 32 0.4× 26 837
Krista E. DeLeeuw United States 6 302 0.7× 357 1.0× 430 1.7× 130 0.7× 73 1.0× 7 871
Maria Opfermann Germany 9 368 0.9× 298 0.8× 250 1.0× 70 0.4× 40 0.6× 10 596
Katharina Loibl Germany 13 291 0.7× 511 1.4× 425 1.7× 189 1.0× 22 0.3× 47 808
Ron Salden United States 11 323 0.8× 368 1.0× 178 0.7× 257 1.3× 24 0.3× 16 581
NarayanKripa Sundararajan United States 6 179 0.4× 265 0.7× 203 0.8× 117 0.6× 151 2.1× 9 515
Magnus Haake Sweden 15 127 0.3× 285 0.8× 120 0.5× 158 0.8× 152 2.1× 45 630
Gemma Corbalan Netherlands 11 192 0.5× 325 0.9× 220 0.9× 132 0.7× 16 0.2× 16 521
Amy Witherspoon United States 10 186 0.5× 475 1.3× 156 0.6× 412 2.1× 112 1.6× 16 785
Jeremiah Sullins United States 9 189 0.5× 404 1.1× 150 0.6× 419 2.1× 108 1.5× 25 758

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 of co-authors of Ouhao Chen

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

All Works

20 of 20 papers shown
3.
Chen, Ouhao, et al.. (2025). Rethinking pre-training: cognitive load implications for learners with varying prior knowledge. Frontiers in Psychology. 16. 1628047–1628047.
4.
Chen, Ouhao, Endah Retnowati, Juan C. Castro-Alonso, Fred Paas, & John Sweller. (2023). The Relationship between Interleaving and Variability Effects: A Cognitive Load Theory Perspective. Education Sciences. 13(11). 1138–1138. 3 indexed citations
5.
Chen, Ouhao, Fred Paas, & John Sweller. (2023). A Cognitive Load Theory Approach to Defining and Measuring Task Complexity Through Element Interactivity. Educational Psychology Review. 35(2). 73 indexed citations breakdown →
6.
Costley, Jamie, et al.. (2023). Problem-solving support and instructional sequence: impact on cognitive load and student performance. European Journal of Psychology of Education. 39(3). 1817–1840. 4 indexed citations
7.
Chen, Ouhao, et al.. (2023). Improving English language skills through learning Mathematic contents: From the expertise reversal effect perspective. British Journal of Educational Psychology. 93(S2). 386–401. 4 indexed citations
8.
Chen, Ouhao, Fred Paas, & John Sweller. (2022). Reply to Sana et al.’s (2022) Commentary on Rest-from-Deliberate-Learning as a Mechanism for the Spacing Effect. Educational Psychology Review. 34(3). 1851–1858. 2 indexed citations
10.
Chen, Ouhao, Geoff Woolcott, & Slava Kalyuga. (2021). Comparing alternative sequences of examples and problem-solving tasks: the case of conceptual knowledge. 38(1). 158–170. 9 indexed citations
11.
Koh, Elizabeth & Ouhao Chen. (2021). The expanding boundaries of learning. Learning Research and Practice. 7(1). 1–4. 2 indexed citations
12.
Wang, Ying, Lijia Lin, & Ouhao Chen. (2021). The benefits of teaching on comprehension, motivation, and perceived difficulty: Empirical evidence of teaching expectancy and the interactivity of teaching. British Journal of Educational Psychology. 91(4). 1275–1290. 15 indexed citations
13.
Chen, Ouhao, Fred Paas, & John Sweller. (2021). Spacing and Interleaving Effects Require Distinct Theoretical Bases: a Systematic Review Testing the Cognitive Load and Discriminative-Contrast Hypotheses. Educational Psychology Review. 33(4). 1499–1522. 30 indexed citations
14.
Chen, Ouhao & Geoff Woolcott. (2019). Technology-enhanced mathematics learning: A perspective from Cognitive Load Theory. Journal of Physics Conference Series. 1320(1). 12064–12064. 4 indexed citations
15.
Retnowati, Endah, et al.. (2018). Mathematics problem solving skill acquisition: Learning by Problem Posing or by Problem Solving?. Jurnal Cakrawala Pendidikan. 23 indexed citations
16.
Chen, Ouhao, Endah Retnowati, & Slava Kalyuga. (2018). Effects of worked examples on step performance in solving complex problems. Educational Psychology. 39(2). 188–202. 16 indexed citations
17.
Chen, Ouhao, Juan C. Castro-Alonso, Fred Paas, & John Sweller. (2018). Undesirable Difficulty Effects in the Learning of High-Element Interactivity Materials. Frontiers in Psychology. 9. 1483–1483. 19 indexed citations
18.
Chen, Ouhao, Slava Kalyuga, & John Sweller. (2016). The Expertise Reversal Effect is a Variant of the More General Element Interactivity Effect. Educational Psychology Review. 29(2). 393–405. 120 indexed citations
19.
Chen, Ouhao, Slava Kalyuga, & John Sweller. (2016). Relations between the worked example and generation effects on immediate and delayed tests. Learning and Instruction. 45. 20–30. 53 indexed citations
20.
Chen, Ouhao, Slava Kalyuga, & John Sweller. (2015). The worked example effect, the generation effect, and element interactivity.. Journal of Educational Psychology. 107(3). 689–704. 98 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.

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