Linlin Hu

659 citations
18 papers · 430 indexed · 1 hit paper · h-index 10
Topics
Teaching and Learning Programming (13 papers)Online Learning and Analytics (10 papers)Educational Games and Gamification (7 papers)

In The Last Decade

Linlin Hu

17 papers receiving 418 citations

Hit Papers

Factors influencing Chinese pre-service teachers’ adoptio...20252026202551015

Peers

Linlin Hu
Comparison fields: 5 of 45
  • Computer Science Applications 343
  • Developmental and Educational Psychology 193
  • Education 76
  • Information Systems 68
  • Artificial Intelligence 43
Replace Lihui Sun with:
Lihui Sun China
Danhua Zhou China
Jason Zagami Australia
Janne Fagerlund Finland
Jonas Boustedt Sweden
Lechen Zhang Sweden
Miranda C. Parker United States
Bárbara Sabitzer Austria
Laila El‐Hamamsy Switzerland
Maria Knobelsdorf Germany
Linlin Hu relative to Lihui Sun China Lihui Sun's profile →
Citations per field
00.5×1.5×
Lihui Sun · 1×
Citations per year

Countries citing papers authored by Linlin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlin Hu

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2
Factors influencing Chinese pre-service teachers’ adoption of generative AI in teaching: an empirical study based on UTAUT2 and PLS-SEMbreakdown →
15
3 1
4 2
5 2
6 1
7 8
8 17
9 13
10 82
11 20
12 56
13 28
14 54
15 53
16 73
17 3
18 2

About Linlin Hu

Linlin Hu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Software, having authored 18 papers that have together received 430 indexed citations. Recurring topics across this work include Teaching and Learning Programming (13 papers), Online Learning and Analytics (10 papers) and Educational Games and Gamification (7 papers). The work is most often cited by research in Computer Science Applications (343 citations), Developmental and Educational Psychology (193 citations) and Health Informatics (9 citations). Linlin Hu has collaborated with scholars based in China, Singapore and South Korea. Frequent co-authors include Lihui Sun, Danhua Zhou, Weipeng Yang, Zhen Guo, Xiaoqian Wang, Hao Wang, Zhen Tian, Jinli Zhao, Hongjie Jia and Hao Wang. Their work appears in journals such as Computers & Education, Journal of Computer Assisted Learning and Education and Information Technologies.

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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