Pou‐seong Sit

20 papers receiving 304 citations

Peers

Pou‐seong Sit
Comparison fields: 5 of 50
  • Computer Science Applications 31
  • Education 145
  • Clinical Psychology 89
  • Leadership and Management 5
  • Social Psychology 82
Replace Kwok‐cheung Cheung with:
Kwok‐cheung Cheung Macao
Laura Abellán Roselló Spain
Camille Sanrey France
Teresa Pozo-Rico Spain
Hyo Jin Lim South Korea
Arnaud Stanczak France
David T. Marshall United States
Lynn Sheridan Australia
Rutger Kappe Netherlands
Marcy Reisetter United States
Pou‐seong Sit relative to Kwok‐cheung Cheung Macao Kwok‐cheung Cheung's profile →
Citations per field
00.5×1.5×
Kwok‐cheung Cheung · 1×
Citations per year

Countries citing papers authored by Pou‐seong Sit

Since Specialization
Citations

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

Fields of papers citing papers by Pou‐seong Sit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pou‐seong Sit. 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 Pou‐seong Sit. The network helps show where Pou‐seong Sit may publish in the future.

Co-authors

The 8 scholars most cited alongside Pou‐seong Sit, 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 Pou‐seong Sit Line = papers co-authored together Pou‐seong Sit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 201344
3 202043
4 201322
5 202316
6 201616
7 201612
8 20229
9 20188
10 20237
11 20156
12 20235
13 20215
14 20244
15 20243
16 20172
17 20251
18 20221
19 20141
20 20161

About Pou‐seong Sit

Pou‐seong Sit is a scholar working on Education, Social Psychology, Clinical Psychology, Computer Science Applications and Gender Studies, having authored 21 papers that have together received 315 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Grit, Self-Efficacy, and Motivation (4 papers), Parental Involvement in Education (3 papers), Gender and Technology in Education (3 papers), Resilience and Mental Health (3 papers), School Choice and Performance (3 papers), Early Childhood Education and Development (2 papers) and Education, Achievement, and Giftedness (2 papers). The work is most often cited by research in Computer Science Applications (31 citations), Education (145 citations), Clinical Psychology (89 citations), Leadership and Management (5 citations) and Social Psychology (82 citations). Pou‐seong Sit has collaborated with scholars based in Macao, Singapore and Mozambique. Frequent co-authors include Kwok‐cheung Cheung, Kaycheng Soh, Ivana Stepanović, João Marôco, Heidi Harju‐Luukkainen, Thomas J. Smith, Juliana Álvares Duarte Bonini Campos and Giovanna Esposito. Their work appears in journals such as The Asia-Pacific Education Researcher, Education and Information Technologies, Educational Psychology, Asia Pacific Education Review and British Journal of Educational 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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