Shurui Bai

1.3k total citations · 1 hit paper
19 papers, 782 citations indexed

About

Shurui Bai is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Shurui Bai has authored 19 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Developmental and Educational Psychology, 7 papers in Education and 7 papers in Computer Science Applications. Recurrent topics in Shurui Bai's work include Educational Games and Gamification (9 papers), Online Learning and Analytics (7 papers) and Impact of Technology on Adolescents (5 papers). Shurui Bai is often cited by papers focused on Educational Games and Gamification (9 papers), Online Learning and Analytics (7 papers) and Impact of Technology on Adolescents (5 papers). Shurui Bai collaborates with scholars based in Hong Kong, Australia and Germany. Shurui Bai's co-authors include Khe Foon Hew, Biyun Huang, Chengyuan Jia, Donn Emmanuel Gonda, Weijiao Huang, Michael Sailer, Phillip Dawson, Chung Kwan Lo, Xinyi Liang and Liang Shang and has published in prestigious journals such as Computers & Education, Educational Research Review and Interactive Learning Environments.

In The Last Decade

Shurui Bai

15 papers receiving 732 citations

Hit Papers

Does gamification improve student learning outcome? Evide... 2020 2026 2022 2024 2020 100 200 300

Peers

Shurui Bai
Comparison fields: 5 of 74
  • Developmental and Educational Psychology 401
  • Education 377
  • Computer Science Applications 240
  • Information Systems 157
  • Sociology and Political Science 109
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Citations per field, relative to Shurui Bai
Shurui Bai · 1×
Citations per year, relative to Shurui Bai
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Countries citing papers authored by Shurui Bai

Since Specialization
Citations

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

Fields of papers citing papers by Shurui Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shurui Bai

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 23
2 0
3 10
4 4
5 1
6 0
7 0
8 29
9 1
10 2
11 74
12 61
13 23
14 3
15 45
16 3
17 136
18
Does gamification improve student learning outcome? Evidence from a meta-analysis and synthesis of qualitative data in educational contexts breakdown →
366
19 1

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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