Zhongzhou Chen

49 papers receiving 745 citations

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Exploring generative AI assisted feedback writing for stu...2024202620252024102030

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Zhongzhou Chen
Comparison fields: 5 of 93
  • Control and Systems Engineering 311
  • Education 170
  • Computer Science Applications 169
  • Developmental and Educational Psychology 110
  • Artificial Intelligence 95
Replace Daniel Duckworth with:
Daniel Duckworth United States
Minseok Kang South Korea
Christine Hailey United States
Kenneth Y. T. Lim Singapore
Sébastien George France
Konstantinos Τ. Kotsis Greece
Mani Mina United States
Meng Xia Hong Kong
Martin Siegel Germany
Zhongzhou Chen relative to Daniel Duckworth United States Daniel Duckworth's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zhongzhou Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhongzhou Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongzhou Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongzhou Chen. A scholar is included among the top collaborators of Zhongzhou 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 Zhongzhou Chen. Zhongzhou 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
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Exploring generative AI assisted feedback writing for students’ written responses to a physics conceptual question with prompt engineering and few-shot learningbreakdown →
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Adding Duration-Based Quality Labels to Learning Events for Improved Description of Students’ Online Learning Behavior
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Re-designing the structure of online courses to empower educational data mining
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About Zhongzhou Chen

Zhongzhou Chen is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Health Informatics, having authored 51 papers that have together received 770 indexed citations. Recurring topics across this work include Online Learning and Analytics (20 papers), Innovative Teaching and Learning Methods (17 papers) and Online and Blended Learning (16 papers). The work is most often cited by research in Computer Science Applications (169 citations), Control and Systems Engineering (311 citations) and Developmental and Educational Psychology (110 citations). Zhongzhou Chen has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Zhiqiang Gao, Qing Zheng, David E. Pritchard, Giora Alexandron, G. Gladding, T. Stelzer, José A. Ruipérez‐Valiente, Lawrence Megan, Michael A. Henson and Pedro J. Muñoz‐Merino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Biophysical Journal.

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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