Jiahong Su

3.5k total citations · 8 hit papers
42 papers, 2.0k citations indexed

About

Jiahong Su is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology. According to data from OpenAlex, Jiahong Su has authored 42 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Science Applications, 20 papers in Education and 14 papers in Developmental and Educational Psychology. Recurrent topics in Jiahong Su's work include Teaching and Learning Programming (22 papers), Child Development and Digital Technology (17 papers) and Online Learning and Analytics (11 papers). Jiahong Su is often cited by papers focused on Teaching and Learning Programming (22 papers), Child Development and Digital Technology (17 papers) and Online Learning and Analytics (11 papers). Jiahong Su collaborates with scholars based in Hong Kong, China and United Kingdom. Jiahong Su's co-authors include Weipeng Yang, Davy Tsz Kit Ng, Samuel Kai Wah Chu, Yuchun Zhong, Jac Ka Lok Leung, Chi Wui Ng, Iris Heung Yue Yim, Kai Guo, Hui Li and Haoran Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Sensors.

In The Last Decade

Jiahong Su

40 papers receiving 1.8k citations

Hit Papers

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

  1. Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education
    2023 296 citations Jiahong Su, Weipeng Yang ECNU Review of Education profile →
  2. Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world
    2023 253 citations Davy Tsz Kit Ng, Jac Ka Lok Leung et al. Educational Technology Research and Development profile →
  3. Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities
    2023 189 citations Jiahong Su, Davy Tsz Kit Ng et al. Computers and Education Artificial Intelligence profile →
  4. Artificial intelligence in early childhood education: A scoping review
    2022 161 citations Jiahong Su, Weipeng Yang Computers and Education Artificial Intelligence profile →
  5. A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region
    2022 133 citations Jiahong Su, Yuchun Zhong et al. Computers and Education Artificial Intelligence profile →
  6. Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions
    2022 121 citations Jiahong Su, Yuchun Zhong Computers and Education Artificial Intelligence profile →
  7. Artificial intelligence (AI) learning tools in K-12 education: A scoping review
    2024 74 citations Iris Heung Yue Yim, Jiahong Su Journal of Computers in Education profile →
  8. A systematic review of integrating computational thinking in early childhood education
    2023 72 citations Jiahong Su, Weipeng Yang profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiahong Su Hong Kong 21 1.0k 477 418 415 366 42 2.0k
Mutlu Cukurova United Kingdom 25 1.2k 1.2× 650 1.4× 718 1.7× 494 1.2× 673 1.8× 79 2.6k
Ismaila Temitayo Sanusi Finland 20 854 0.8× 353 0.7× 353 0.8× 393 0.9× 290 0.8× 95 1.7k
Jac Ka Lok Leung Hong Kong 12 747 0.7× 301 0.6× 411 1.0× 333 0.8× 239 0.7× 17 1.6k
Guanliang Chen Australia 20 841 0.8× 502 1.1× 989 2.4× 494 1.2× 301 0.8× 84 2.2k
Davy Tsz Kit Ng Hong Kong 27 1.4k 1.4× 705 1.5× 659 1.6× 701 1.7× 528 1.4× 54 3.0k
Weipeng Yang Hong Kong 29 825 0.8× 1.1k 2.2× 318 0.8× 327 0.8× 478 1.3× 102 2.4k
İsmail Çelik Finland 13 564 0.6× 431 0.9× 299 0.7× 328 0.8× 181 0.5× 46 1.3k
Seyyed Kazem Banihashem Netherlands 18 609 0.6× 607 1.3× 412 1.0× 207 0.5× 412 1.1× 43 1.6k
Fatma Gizem Karaoğlan Yılmaz Türkiye 26 741 0.7× 834 1.7× 468 1.1× 351 0.8× 504 1.4× 100 2.2k
Diane Burke United States 15 509 0.5× 696 1.5× 321 0.8× 838 2.0× 222 0.6× 27 1.9k

Countries citing papers authored by Jiahong Su

Since Specialization
Citations

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

Fields of papers citing papers by Jiahong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahong Su. A scholar is included among the top collaborators of Jiahong Su 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 Jiahong Su. Jiahong Su 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
1.
Su, Jiahong, et al.. (2025). A scoping review of empirical research on AI literacy assessments. Educational Technology Research and Development. 73(5). 3105–3130.
2.
3.
Su, Jiahong. (2024). Kindergarten parents’ perceptions of the use of AI technologies and AI literacy education: Positive views but practical concerns. Education and Information Technologies. 30(1). 279–295. 6 indexed citations
4.
Yim, Iris Heung Yue, Jiahong Su, & Rupert Wegerif. (2024). STEAM in practice and research in primary schools: a systematic literature review. Research in Science & Technological Education. 43(4). 1065–1089. 4 indexed citations
5.
Zhang, Yinping, Xiang Wang, Xinyu He, et al.. (2024). The investigation of oncolytic viruses in the field of cancer therapy. Frontiers in Oncology. 14. 1423143–1423143. 8 indexed citations
6.
Su, Jiahong, Weipeng Yang, Iris Heung Yue Yim, Hui Li, & Xiao Hu. (2024). Early artificial intelligence education: Effects of cooperative play and direct instruction on kindergarteners' computational thinking, sequencing, self‐regulation and theory of mind skills. Journal of Computer Assisted Learning. 40(6). 2917–2925. 13 indexed citations
7.
Yim, Iris Heung Yue & Jiahong Su. (2024). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education. 74 indexed citations breakdown →
8.
Su, Jiahong. (2024). Kindergarten Teachers’ Perceptions of AI Literacy Education for Young Children. International Journal of Technology and Design Education. 34(5). 1665–1685. 17 indexed citations
9.
Su, Jiahong. (2023). Preservice teachers’ technological pedagogical content knowledge development: A bibliometric review. Frontiers in Education. 7. 1 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.
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
12.
Ng, Davy Tsz Kit, Jiahong Su, Jac Ka Lok Leung, & Samuel Kai Wah Chu. (2023). Artificial intelligence (AI) literacy education in secondary schools: a review. Interactive Learning Environments. 32(10). 6204–6224. 70 indexed citations
13.
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
14.
Su, Jiahong & Weipeng Yang. (2023). Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education. ECNU Review of Education. 6(3). 355–366. 296 indexed citations breakdown →
15.
Yu, Lingyun, et al.. (2023). Identification of the core genes in Randall’s plaque of kidney stone and immune infiltration with WGCNA network. Frontiers in Genetics. 14. 1048919–1048919. 3 indexed citations
16.
Ng, Davy Tsz Kit, Jiahong Su, & Samuel Kai Wah Chu. (2023). Fostering Secondary School Students’ AI Literacy through Making AI-Driven Recycling Bins. Education and Information Technologies. 29(8). 9715–9746. 52 indexed citations
17.
Zhong, Yuchun, Kai Guo, Jiahong Su, & Samuel Kai Wah Chu. (2022). The impact of esports participation on the development of 21st century skills in youth: A systematic review. Computers & Education. 191. 104640–104640. 43 indexed citations
18.
Su, Jiahong, Davy Tsz Kit Ng, Weipeng Yang, & Hui Li. (2022). Global Trends in the Research on Early Childhood Education during the COVID-19 Pandemic: A Bibliometric Analysis. Education Sciences. 12(5). 331–331. 28 indexed citations
19.
Su, Jiahong, Yuchun Zhong, & Davy Tsz Kit Ng. (2022). A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education Artificial Intelligence. 3. 100065–100065. 133 indexed citations breakdown →
20.
Su, Jiahong & Weipeng Yang. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education Artificial Intelligence. 3. 100049–100049. 161 indexed citations breakdown →

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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