Jiahong Su

3.5k citations
42 papers · 2.0k indexed · 8 hit papers · h-index 21

Jiahong Su

40 papers receiving 1.8k citations

Hit Papers

Artificial intelligence (AI) learning tools...74202220262023202450100150200250

Peers

Jiahong Su
Comparison fields: 5 of 105
  • Health Informatics 346
  • Computer Science Applications 1.0k
  • Developmental and Educational Psychology 366
  • Safety Research 216
  • Information Systems 415
Replace Jac Ka Lok Leung with:
Jac Ka Lok Leung Hong Kong
Weipeng Yang Hong Kong
Ismaila Temitayo Sanusi Finland
Mutlu Cukurova United Kingdom
İsmail Çelik Finland
Davy Tsz Kit Ng Hong Kong
Lucas Kohnke Hong Kong
Fatma Gizem Karaoğlan Yılmaz Türkiye
Diane Burke United States
Guanliang Chen Australia
Jiahong Su relative to Jac Ka Lok Leung Hong Kong Jac Ka Lok Leung's profile →
Citations per field
00.5×1.7×
Jac Ka Lok Leung · 1×
Citations per year

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

The 25 scholars most cited alongside Jiahong Su, 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 Jiahong Su Line = papers co-authored together Jiahong Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20246
5 20244
6 202417
7 20242
8 20248
9
Artificial intelligence (AI) learning tools in K-12 education: A scoping reviewbreakdown →
202474
10 202413
11 20231
12 202319
13 202370
14 202335
15 202347
16
Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic worldbreakdown →
2023253
17 20233
18 202352
19 202323
20 202243

About Jiahong Su

Jiahong Su is a scholar working on Computer Science Applications, Health Informatics and Developmental and Educational Psychology, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Teaching and Learning Programming (22 papers), Child Development and Digital Technology (17 papers), Online Learning and Analytics (11 papers), Educational Games and Gamification (9 papers), Digital literacy in education (5 papers), Educational Research and Pedagogy (4 papers), Technology-Enhanced Education Studies (4 papers) and Child and Animal Learning Development (4 papers). The work is most often cited by research in Health Informatics (346 citations), Computer Science Applications (1.0k citations) and Developmental and Educational Psychology (366 citations). Jiahong Su has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent 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. Their work appears in journals such as Interactive Learning Environments, Education and Information Technologies, Computers and Education Artificial Intelligence, Research in Science & Technological Education and Journal of Computer Assisted Learning.

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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