Longkai Wu

742 citations
32 papers · 313 · h-index 9

Impact in

Papers in

    • Innovative Teaching Methods 3
    • Education and Critical Thinking Development 3
    • Mobile Learning in Education 5

Longkai Wu

27 papers receiving 288 citations

Peers

Longkai Wu
Comparison fields: 5 of 52
  • Computer Science Applications 112
  • Developmental and Educational Psychology 114
  • Information Systems 108
  • Media Technology 37
  • Education 107
Replace Roger McDermott with:
Roger McDermott United Kingdom
Tatjana Jevsikova Lithuania
Patricia Charlton United Kingdom
Adolfo Ruiz‐Calleja Spain
Ville Isomöttönen Finland
Maria Knobelsdorf Germany
Ira Diethelm Germany
Lars Bollen Netherlands
Jaakko Kurhila Finland
Anita Juškevičienė Lithuania
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Citations per field
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Citations per year

Countries citing papers authored by Longkai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Longkai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201852
2 201443
3
Agent Prompts: Scaffolding for Productive Reflection in an Intelligent Learning Environment
201225
4 202123
5 202323
6 201919
7 201516
8 201914
9 20139
10 20198
11 20188
12 20227
13 20147
14 20237
15 20177
16
Understanding and developing in-service teachers’ perceptions towards teaching in computational thinking: Two studies
20186
17 20146
18 20205
19 20165
20 20234

About Longkai Wu

Longkai Wu is a scholar working on Education, Information Systems, Computer Science Applications, Developmental and Educational Psychology and Media Technology, having authored 32 papers that have together received 313 indexed citations. Recurring topics across this work include Teaching and Learning Programming (8 papers), Mobile Learning in Education (5 papers), RFID technology advancements (4 papers), Innovative Teaching and Learning Methods (4 papers), Advanced Authentication Protocols Security (3 papers), Innovative Teaching Methods (3 papers), Education and Critical Thinking Development (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Computer Science Applications (112 citations), Developmental and Educational Psychology (114 citations), Information Systems (108 citations), Media Technology (37 citations) and Education (107 citations). Longkai Wu has collaborated with scholars based in Singapore, China and Hong Kong. Frequent co-authors include Chee‐Kit Looi, Peter Seow, Meng-Leong How, Daner Sun, Lung Hsiang Wong, Gean Chia, Elliot Soloway, David Hung, Shu‐Shing Lee and Cathie Norris. Their work appears in journals such as Wireless Personal Communications, International Journal of Science and Mathematics Education, Computer Science Education, Interactive Learning Environments and Research in Science Education.

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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