Kok‐Sing Tang

1.7k citations
69 papers · 1.0k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Kok‐Sing Tang

65 papers receiving 1.0k citations

Hit Papers

Pixels and Pedagogy: Examining Science Education Imagery by Generative Artificial Intelligence 2024 · 33 citations
33202420262025102030

Peers

Kok‐Sing Tang
Comparison fields: 5 of 66
  • Developmental and Educational Psychology 509
  • Literature and Literary Theory 267
  • Education 645
  • Computer Science Applications 73
  • Experimental and Cognitive Psychology 166
Replace Bruce Waldrip with:
Bruce Waldrip Australia
Pietro Boscolo Italy
Christian Tarchi Italy
Joy Egbert United States
Sylvia Rojas‐Drummond Mexico
Kim Nguyen‐Jahiel United States
SK Tse Hong Kong
Hsueh‐Hua Chuang Taiwan
Thomas W. Bean United States
Cathy Collins Block United States
Kok‐Sing Tang relative to Bruce Waldrip Australia Bruce Waldrip's profile →
Citations per field
00.5×9.4×
Bruce Waldrip · 1×
Citations per year

Countries citing papers authored by Kok‐Sing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kok‐Sing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kok‐Sing Tang. 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 Kok‐Sing Tang. The network helps show where Kok‐Sing Tang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4
Pixels and Pedagogy: Examining Science Education Imagery by Generative Artificial Intelligence
Hit paper breakdown →
202433
5 20242
6 20241
7 20239
8 20239
9 20230
10 202310
11 202219
12 202219
13 202215
14 202120
15 202113
16 20212
17 20215
18 201835
19 20182
20 20174

About Kok‐Sing Tang

Kok‐Sing Tang is a scholar working on Developmental and Educational Psychology, Literature and Literary Theory, Education, Experimental and Cognitive Psychology and Computer Science Applications, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Science Education and Pedagogy (33 papers), Educational Strategies and Epistemologies (23 papers), Innovative Teaching and Learning Methods (22 papers), Discourse Analysis in Language Studies (14 papers), Education and Critical Thinking Development (9 papers), Literacy, Media, and Education (8 papers), Visual and Cognitive Learning Processes (6 papers) and Digital Storytelling and Education (6 papers). The work is most often cited by research in Developmental and Educational Psychology (509 citations), Literature and Literary Theory (267 citations), Education (645 citations), Computer Science Applications (73 citations) and Experimental and Cognitive Psychology (166 citations). Kok‐Sing Tang has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Elizabeth Birr Moje, César Delgado, Grant Cooper, Natasha Anne Rappa, Mihye Won, Seng Chee Tan, Jennifer Yeo, David F. Treagust, John Williams and Kristina Danielsson. Their work appears in journals such as International Journal of Science Education, Research in Science Education, Science Education, International Journal of Science and Mathematics Education and Journal of Science Education and Technology.

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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