Pierina Cheung

566 total citations
25 papers, 307 citations indexed

About

Pierina Cheung is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education. According to data from OpenAlex, Pierina Cheung has authored 25 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Developmental and Educational Psychology, 17 papers in Statistics and Probability and 13 papers in Education. Recurrent topics in Pierina Cheung's work include Cognitive and developmental aspects of mathematical skills (17 papers), Mathematics Education and Teaching Techniques (12 papers) and Reading and Literacy Development (9 papers). Pierina Cheung is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (17 papers), Mathematics Education and Teaching Techniques (12 papers) and Reading and Literacy Development (9 papers). Pierina Cheung collaborates with scholars based in Canada, Singapore and United States. Pierina Cheung's co-authors include David Barner, Mathieu Le Corre, Katie Wagner, Daniel Ansari, Anna Shusterman, Chee Ren Ivan Lam, Nguan Soon Tan, Peggy Li, Soon Huat Tan and Ming Tan and has published in prestigious journals such as Developmental Psychology, Cell Death and Differentiation and Cognitive Psychology.

In The Last Decade

Pierina Cheung

23 papers receiving 300 citations

Peers

Pierina Cheung
Comparison fields: 5 of 55
  • Statistics and Probability 232
  • Education 187
  • Developmental and Educational Psychology 187
  • Cognitive Neuroscience 31
  • Experimental and Cognitive Psychology 24
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Citations per field, relative to Pierina Cheung
Pierina Cheung · 1×
Citations per year, relative to Pierina Cheung
Pierina Cheung · 1×

Countries citing papers authored by Pierina Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Pierina Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierina Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Pierina Cheung. A scholar is included among the top collaborators of Pierina Cheung 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 Pierina Cheung. Pierina Cheung 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
# Work Indexed citations
1 1
2 1
3 1
4 5
5 16
6 13
7 10
8
A cross-linguistic investigation on the acquisition of complex numerals.
3
9
A 6-Month Longitudinal Study on Numerical Estimation in Preschoolers
8
10 64
11
Algebraic reasoning in 3- to 5-year-olds.
1
12 37
13
Concepts as Representations for Essences: Evidence from Use of Generics
0
14
What counts in Mandarin Chinese: A study of individuation and quantification
6
15 29
16 67
17 8
18
Source of Individuation in Mandarin Chinese, a Classifier Language
1
19 3
20 7

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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