Xinyun Hu

597 total citations · 1 hit paper
19 papers, 345 citations indexed

About

Xinyun Hu is a scholar working on Education, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Xinyun Hu has authored 19 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 8 papers in Computer Science Applications and 4 papers in Developmental and Educational Psychology. Recurrent topics in Xinyun Hu's work include Child Development and Digital Technology (6 papers), Teaching and Learning Programming (5 papers) and Gender and Technology in Education (3 papers). Xinyun Hu is often cited by papers focused on Child Development and Digital Technology (6 papers), Teaching and Learning Programming (5 papers) and Gender and Technology in Education (3 papers). Xinyun Hu collaborates with scholars based in Hong Kong, China and Australia. Xinyun Hu's co-authors include Nicola Yelland, Sdenka Zobeida Salas‐Pilco, Kejiang Xiao, Ming Ming Chiu, Ibrahim H. Yeter, John Chi‐Kin Lee, Yuqin Yang, Weipeng Yang, Jiahong Su and Shang Gao and has published in prestigious journals such as International Journal of Biological Macromolecules, Journal of Applied Polymer Science and Early Childhood Research Quarterly.

In The Last Decade

Xinyun Hu

16 papers receiving 315 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review

2022 122 citations Sdenka Zobeida Salas‐Pilco, Kejiang Xiao et al. Education Sciences profile →

Peers

Xinyun Hu

EDUCA

CSA

DEP

Wenwei Luo China

Hamdan Alamri Saudi Arabia

Jimmy Jaldemark Sweden

Sung-Hee Jin South Korea

Susie Gronseth United States

Aziman Abdullah Malaysia

H Boulton United Kingdom

Xiaoshan Huang Canada

Heidi Hartikainen Finland

Lucrezia Crescenzi Lanna Spain

Wenwei Luo China

Xinyun Hu

151 ×0.9

EDUCA

58 ×0.6

CSA

84 ×0.9

34 ×0.7

DEP

38 ×0.9

Citations per year, relative to Xinyun Hu Xinyun Hu (= 1×) peers Wenwei Luo

Countries citing papers authored by Xinyun Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xinyun Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyun Hu

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

All Works

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19 of 19 papers shown

Hu, Xinyun, Yang Li, Wenxiu Liu, et al.. (2025). Effect of Carboxylated Carbon Nanotubes on the Structure and Properties of PLA/PVDF/ADR Blends. Journal of Applied Polymer Science. 142(25).

Wang, Ping, Jiajia Liu, Yang Li, et al.. (2025). Poly(lactide)/poly(butylene adipate-co-terephthalate)/carbon nanotubes composites with robust mechanical properties, fatigue-resistance and dielectric properties. International Journal of Biological Macromolecules. 295. 139464–139464. 1 indexed citations

Hu, Xinyun, et al.. (2025). Integrating coding education into early STEM programme: the changing roles of children and integrative learning context. Early Child Development and Care. 1–20.

Capio, Catherine M., et al.. (2024). Integrating Fundamental Movement Skills and Mathematics in Early Childhood: A Pilot Study. Children. 11(4). 457–457. 1 indexed citations

Fan, Lu, et al.. (2024). A methane monitoring station siting method based on WRF-STILT and genetic algorithm. Frontiers in Environmental Science. 12. 1 indexed citations

Hu, Xinyun, et al.. (2024). Roles and Effect of Digital Technology on Young Children’s STEM Education: A Scoping Review of Empirical Studies. Education Sciences. 14(4). 357–357. 3 indexed citations

Hu, Xinyun, et al.. (2024). Research on compiler version recognition based on random forest algorithm. 1085–1090.

Hu, Xinyun, Ming Ming Chiu, Nicola Yelland, & Yutong Liang. (2023). Scaffolding young children's computational thinking with teacher talk in a technology-mediated classroom. Early Childhood Research Quarterly. 65. 81–91. 4 indexed citations

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

10.

Salas‐Pilco, Sdenka Zobeida, Kejiang Xiao, & Xinyun Hu. (2023). Correction: Salas-Pilco et al. Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Educ. Sci. 2022, 12, 569. Education Sciences. 13(9). 897–897. 2 indexed citations

11.

Wang, Ping, Xinliang Chen, Shang Gao, et al.. (2023). High-performance low-smoke halogen-free flame-retardant composites for Fuxing electric multiple units via synergistic effects of char formation and anti-dripping of clay-based organic sheet silicates. Advanced Composites and Hybrid Materials. 6(3). 15 indexed citations

12.

Salas‐Pilco, Sdenka Zobeida, Kejiang Xiao, & Xinyun Hu. (2022). Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences. 12(8). 569–569. 122 indexed citations breakdown →

13.

Hu, Xinyun, et al.. (2021). Technology integration for young children during COVID‐19: Towards future online teaching. British Journal of Educational Technology. 52(4). 1513–1537. 81 indexed citations

14.

Hu, Xinyun. (2021). Developing STEM toolkits for young children to improve spatial skills. Journal of Education and Human Development. 10(1). 3 indexed citations

15.

Hu, Xinyun & Nicola Yelland. (2019). Changing Learning Ecologies in Early Childhood Teacher Education: From Technology to stem Learning. 1(2-3). 488–506. 16 indexed citations

16.

Hu, Xinyun, et al.. (2019). “We Want STEM”: Exploring Digital Toys in a Hong Kong Kindergarten. Journal of Education and Human Development. 8(4). 2 indexed citations

17.

Hu, Xinyun & Nicola Yelland. (2017). An investigation of preservice early childhood teachers’ adoption of ICT in a teaching practicum context in Hong Kong. Journal of Early Childhood Teacher Education. 38(3). 259–274. 32 indexed citations

18.

Falmagne, Jean‐Claude, et al.. (2013). Knowledge Space: Application in Education. 1 indexed citations

19.

Hu, Xinyun, et al.. (2008). The development of early childhood education in rural areas in China. Early Years Journal of International Research and Development. 28(2). 197–209. 26 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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