Weipeng Yang

4.0k total citations · 4 hit papers
102 papers, 2.4k citations indexed

About

Weipeng Yang is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Weipeng Yang has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Education, 36 papers in Computer Science Applications and 24 papers in Developmental and Educational Psychology. Recurrent topics in Weipeng Yang's work include Teaching and Learning Programming (34 papers), Early Childhood Education and Development (28 papers) and Child Development and Digital Technology (28 papers). Weipeng Yang is often cited by papers focused on Teaching and Learning Programming (34 papers), Early Childhood Education and Development (28 papers) and Child Development and Digital Technology (28 papers). Weipeng Yang collaborates with scholars based in Hong Kong, Singapore and China. Weipeng Yang's co-authors include Jiahong Su, Hui Li, Jesus Alfonso D. Datu, Xunyi Lin, Davy Tsz Kit Ng, Hongyu Gao, Jennifer J. Chen, Alfredo Bautista, Jana Patricia M. Valdez and Danhua Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Journal of Autism and Developmental Disorders.

In The Last Decade

Weipeng Yang

96 papers receiving 2.3k citations

Hit Papers

Unlocking the Power of ChatGPT: A Framework for Applying ... 2022 2026 2023 2024 2023 2022 2022 2023 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weipeng Yang Hong Kong 29 1.1k 825 478 327 318 102 2.4k
Jason M. Lodge Australia 26 1.2k 1.1× 651 0.8× 444 0.9× 341 1.0× 251 0.8× 117 2.6k
Fatma Gizem Karaoğlan Yılmaz Türkiye 26 834 0.8× 741 0.9× 504 1.1× 351 1.1× 468 1.5× 100 2.2k
Ramazan Yılmaz Türkiye 27 1.2k 1.1× 861 1.0× 564 1.2× 465 1.4× 543 1.7× 97 2.6k
Benjamin Luke Moorhouse Hong Kong 25 1.3k 1.2× 804 1.0× 383 0.8× 730 2.2× 662 2.1× 80 3.1k
Cecilia Ka Yuk Chan Hong Kong 25 1.2k 1.2× 805 1.0× 275 0.6× 386 1.2× 655 2.1× 90 3.2k
Ahmed Tlili China 26 754 0.7× 1.1k 1.4× 543 1.1× 549 1.7× 791 2.5× 126 3.2k
Dimitrios Vlachopoulos Netherlands 19 941 0.9× 560 0.7× 456 1.0× 513 1.6× 270 0.8× 66 2.0k
Luke K. Fryer Hong Kong 26 895 0.8× 494 0.6× 628 1.3× 349 1.1× 941 3.0× 93 2.6k
Seng Chee Tan Singapore 23 776 0.7× 456 0.6× 543 1.1× 265 0.8× 208 0.7× 114 1.8k
Davy Tsz Kit Ng Hong Kong 27 705 0.7× 1.4k 1.7× 528 1.1× 701 2.1× 659 2.1× 54 3.0k

Countries citing papers authored by Weipeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weipeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weipeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weipeng Yang. A scholar is included among the top collaborators of Weipeng Yang 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 Weipeng Yang. Weipeng Yang 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
4.
Yang, Weipeng, et al.. (2024). Teacher learning and preschoolers’ STEM habits of mind: Evidence from two studies. Teaching and Teacher Education. 153. 104836–104836. 1 indexed citations
5.
Yang, Weipeng, et al.. (2024). Cognitive foundations in the interplay between computational thinking and creativity: A scoping review. Thinking Skills and Creativity. 56. 101729–101729.
6.
Yeter, Ibrahim H., et al.. (2024). Global initiatives and challenges in integrating artificial intelligence literacy in elementary education: Mapping policies and empirical literature. SHILAP Revista de lepidopterología. 2(4). 382–402. 5 indexed citations
7.
Yang, Weipeng, et al.. (2023). Beyond computing: Computational thinking is associated with sequencing ability and self-regulation among Chinese young children. Early Childhood Research Quarterly. 64. 324–330. 8 indexed citations
8.
Yang, Weipeng, et al.. (2023). Making a Makerspace for children: A mixed-methods study in Chinese kindergartens. International Journal of Child-Computer Interaction. 36. 100583–100583. 12 indexed citations
9.
Lin, Xunyi, et al.. (2023). The integrative role of parenting styles and parental involvement in young children’s science problem-solving skills. Frontiers in Psychology. 14. 1096846–1096846. 7 indexed citations
10.
Yang, Weipeng, Xinyun Hu, Ibrahim H. Yeter, et al.. (2023). Artificial intelligence education for young children: A case study of technology‐enhanced embodied learning. Journal of Computer Assisted Learning. 40(2). 465–477. 35 indexed citations
11.
Bautista, Alfredo, et al.. (2023). Professional Learning Communities in Chinese Preschools: Challenging Western Frameworks. Education Sciences. 13(10). 1055–1055. 4 indexed citations
12.
Su, Jiahong & Weipeng Yang. (2023). Powerful or mediocre? Kindergarten teachers’ perspectives on using ChatGPT in early childhood education. Interactive Learning Environments. 32(10). 6496–6508. 19 indexed citations
13.
Yang, Weipeng, Chan Wang, & Alfredo Bautista. (2023). A YouTube video club for teacher learning: Empowering early childhood educators to teach STEM. British Journal of Educational Technology. 55(2). 605–624. 4 indexed citations
14.
Bautista, Alfredo, et al.. (2023). Learning Satisfaction with Online Teaching Video Cases Among Pre-Service Preschool Teachers in China. Early Education and Development. 35(1). 77–95. 5 indexed citations
15.
Su, Jiahong & Weipeng Yang. (2023). AI literacy curriculum and its relation to children's perceptions of robots and attitudes towards engineering and science: An intervention study in early childhood education. Journal of Computer Assisted Learning. 40(1). 241–253. 47 indexed citations
16.
Yang, Weipeng, et al.. (2021). Training teacher‐researchers through online collective academic supervision: Evidence from a postgraduate teacher education programme. Journal of Computer Assisted Learning. 37(4). 1181–1193. 5 indexed citations
17.
Yang, Weipeng. (2021). Glocalisation, digitalisation & curriculum hybridisation. 148. 24–25. 5 indexed citations
18.
Sun, Lihui, Linlin Hu, Weipeng Yang, Danhua Zhou, & Xiaoqian Wang. (2020). STEM learning attitude predicts computational thinking skills among primary school students. Journal of Computer Assisted Learning. 37(2). 346–358. 73 indexed citations
19.
Yang, Weipeng, et al.. (2020). Is Early Spatial Skills Training Effective? A Meta-Analysis. Frontiers in Psychology. 11. 1938–1938. 47 indexed citations
20.
Yang, Weipeng, et al.. (2020). Neoliberalism and sociocultural specificities: a discourse analysis of early childhood curriculum policies in Australia, China, New Zealand, and Singapore. Early Child Development and Care. 192(2). 203–219. 32 indexed citations

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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