Rui Zhi

734 citations
27 papers · 467 indexed · h-index 13
Topics
Teaching and Learning Programming (10 papers)Online Learning and Analytics (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)

In The Last Decade

Rui Zhi

24 papers receiving 456 citations

Peers

Rui Zhi
Comparison fields: 5 of 79
  • Computer Science Applications 247
  • Developmental and Educational Psychology 135
  • Artificial Intelligence 104
  • Environmental Chemistry 76
  • Information Systems 67
Replace Fatima Tuz Zahra with:
Fatima Tuz Zahra Pakistan
Yaqian Zhou China
Mengwen Liu China
Prayitno Prayitno Indonesia
Peter Donaldson United Kingdom
Prasenjit Das India
Ján Gunčaga Slovakia
Xining Wang China
Han Gao China
Ziyu Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Rui Zhi

Since Specialization
Citations

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

Fields of papers citing papers by Rui Zhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Zhi

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Zhi. A scholar is included among the top collaborators of Rui Zhi 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 Rui Zhi. Rui Zhi 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 8
6 10
7 14
8 1
9 12
10 29
11
Toward Data-Driven Example Feedback for Novice Programming.
6
12
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks
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13 4
14 28
15 39
16 18
17 2
18
Evaluation of a Data-Driven Feedback Algorithm for Open-Ended Programming.
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19 110
20 1

About Rui Zhi

Rui Zhi is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Process Chemistry and Technology, having authored 27 papers that have together received 467 indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Online Learning and Analytics (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Computer Science Applications (247 citations), Developmental and Educational Psychology (135 citations) and Software (34 citations). Rui Zhi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tiffany Barnes, Thomas Price, Andrew A. Hicks, Zhongxiu Liu, Min Chi, Nicholas Lytle, Lei Wang, Jiaxuan Wang, Tingting Liu and Rui Miao. Their work appears in journals such as Chemical Engineering Journal, British Journal of Cancer and Cancer Letters.

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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