Longkai Wu

742 citations
32 papers · 313 indexed · h-index 9
Topics
Teaching and Learning Programming (8 papers)Mobile Learning in Education (5 papers)RFID technology advancements (4 papers)
Journals
SHILAP Revista de lepidopterologíaComputers & EducationFrontiers in Psychology
Partner nations
SingaporeChinaHong Kong

In The Last Decade

Longkai Wu

27 papers receiving 288 citations

Peers

Longkai Wu
Comparison fields: 5 of 52
  • Developmental and Educational Psychology 114
  • Computer Science Applications 112
  • Information Systems 108
  • Education 107
  • Media Technology 37
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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-authorship network of co-authors of Longkai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Longkai Wu. A scholar is included among the top collaborators of Longkai Wu 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 Longkai Wu. Longkai Wu 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
#WorkIndexed citations
1 0
2 2
3 4
4 23
5 0
6 7
7 0
8 7
9
Investigating Affordances and Tensions in STEM Applied Learning Programme from Practitioners’ Sensemaking
1
10 23
11 5
12
Local evidence synthesis on Information & Communications Technology (ICT) in education
1
13
Understanding and developing in-service teachers’ perceptions towards teaching in computational thinking: Two studies
6
14
Scaling educational innovations in Singapore: The roles of policymakers, practitioners, and researchers
2
15 4
16 4
17
The IDC theory: Research agenda and challenges
1
18 7
19
Agent Prompts: Scaffolding for Productive Reflection in an Intelligent Learning Environment
25
20
Reflection Prompts to Facilitate Students' Thinking about Teaching in Teachable Agent Environment
0

About Longkai Wu

Longkai Wu is a scholar working on Computer Science Applications, Media Technology and Developmental and Educational Psychology, 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) and RFID technology advancements (4 papers). The work is most often cited by research in Computer Science Applications (112 citations), Developmental and Educational Psychology (114 citations) and Information Systems (108 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, Elliot Soloway, Shu‐Shing Lee, Cathie Norris, David Hung and Shiau Wei Chan. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Education and Frontiers in Psychology.

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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