Weiqi Xu

1.0k citations
16 papers · 551 indexed · 2 hit papers · h-index 9

Weiqi Xu

15 papers receiving 531 citations

Hit Papers

An artificial intelligence-driven learning analytics meth...60202220262023202450100150

Peers

Weiqi Xu
Comparison fields: 5 of 69
  • Health Informatics 88
  • Computer Science Applications 283
  • Developmental and Educational Psychology 162
  • Education 143
  • Information Systems 104
Replace Xinyu Li with:
Xinyu Li Australia
Linxuan Zhao Australia
Irene‐Angelica Chounta Germany
Claudia Nerdel Germany
Benjamin D. Nye United States
Ralf Romeike Germany
Juho Kahila Finland
Yueqiao Jin Australia
Pedro Manuel Moreno-Marcos Spain
Sasha Nikolic Australia
Weiqi Xu relative to Xinyu Li Australia Xinyu Li's profile →
Citations per field
00.5×6.5×
Xinyu Li · 1×
Citations per year

Countries citing papers authored by Weiqi Xu

Since Specialization
Citations

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

Fields of papers citing papers by Weiqi Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 12 scholars most cited alongside Weiqi Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weiqi Xu Line = papers co-authored together Weiqi Xu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 20251
3 20251
4 20245
5 202436
6 20246
7 20243
8 202341
9 20234
10
An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspectivebreakdown →
202360
11 202342
12 202327
13 202221
14
The application of AI technologies in STEM education: a systematic review from 2011 to 2021breakdown →
2022196
15 202116
16 202192

About Weiqi Xu

Weiqi Xu is a scholar working on Computer Science Applications, Health Informatics and Developmental and Educational Psychology, having authored 16 papers that have together received 551 indexed citations. Recurring topics across this work include Teaching and Learning Programming (7 papers), Innovative Teaching and Learning Methods (6 papers), Online Learning and Analytics (4 papers), Online and Blended Learning (3 papers), Knowledge Management and Sharing (2 papers), Social Robot Interaction and HRI (2 papers), Educational Games and Gamification (2 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Health Informatics (88 citations), Computer Science Applications (283 citations) and Developmental and Educational Psychology (162 citations). Weiqi Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Fan Ouyang, Mutlu Cukurova, Yajuan Wu, Tuan Dinh, Fengji Geng, Liyin Zhang, Lin Wang, Mian Wu, Xinran Dong and Xinyu Dai. Their work appears in journals such as Computers in Human Behavior, British Journal of Educational Technology and Educational Technology Research and Development.

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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