Peng Peng

5.7k total citations · 7 hit papers
96 papers, 3.6k citations indexed

About

Peng Peng is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education. According to data from OpenAlex, Peng Peng has authored 96 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Developmental and Educational Psychology, 41 papers in Statistics and Probability and 28 papers in Education. Recurrent topics in Peng Peng's work include Cognitive and developmental aspects of mathematical skills (41 papers), Reading and Literacy Development (41 papers) and Cognitive Abilities and Testing (13 papers). Peng Peng is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (41 papers), Reading and Literacy Development (41 papers) and Cognitive Abilities and Testing (13 papers). Peng Peng collaborates with scholars based in United States, China and Hong Kong. Peng Peng's co-authors include Jessica M. Namkung, Xin Lin, Rogier Kievit, Marcia A. Barnes, Congying Sun, Douglas Fuchs, Sha Tao, Liang Luo, Juan Liu and Tengfei Wang and has published in prestigious journals such as Psychological Bulletin, SHILAP Revista de lepidopterología and Child Development.

In The Last Decade

Peng Peng

87 papers receiving 3.5k citations

Hit Papers

A meta-analysis of mathematics and working memory: Modera... 2015 2026 2018 2022 2015 2017 2020 2019 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A meta-analysis of mathematics and working memory: Moderating effects of working memory domain, type of mathematics skill, and sample characteristics.
    2015 375 citations Peng Peng, Jessica M. Namkung et al. profile →
  2. A meta-analysis on the relation between reading and working memory.
    2017 314 citations Peng Peng, Sha Tao et al. Psychological Bulletin profile →
  3. The Development of Academic Achievement and Cognitive Abilities: A Bidirectional Perspective
    2020 284 citations Peng Peng, Rogier Kievit Child Development Perspectives profile →
  4. The Relation Between Family Socioeconomic Status and Academic Achievement in China: A Meta-analysis
    2019 236 citations Peng Peng et al. profile →
  5. The Relation Between Mathematics Anxiety and Mathematics Performance Among School-Aged Students: A Meta-Analysis
    2019 234 citations Jessica M. Namkung, Peng Peng et al. Review of Educational Research profile →
  6. Examining the mutual relations between language and mathematics: A meta-analysis.
    2020 161 citations Peng Peng, Xin Lin et al. Psychological Bulletin profile →
  7. Socioeconomic Status and Academic Achievement in Primary and Secondary Education: a Meta-analytic Review
    2022 66 citations Peng Peng et al. profile →

Peers

Peng Peng
Maria Chiara Passolunghi Italy
Sara A. Hart United States
Evelyn H. Kroesbergen Netherlands
Yulia Kovas United Kingdom
Paul Leseman Netherlands
Eliane Segers Netherlands
Johannes E. H. Van Luit Netherlands
Mary K. Hoard United States
Mikko Aro Finland
Marcus Hasselhorn Germany
Maria Chiara Passolunghi Italy
Peng Peng
Citations per year, relative to Peng Peng Peng Peng (= 1×) peers Maria Chiara Passolunghi

Countries citing papers authored by Peng Peng

Since Specialization
Citations

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

Fields of papers citing papers by Peng Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Peng. A scholar is included among the top collaborators of Peng Peng 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 Peng Peng. Peng Peng 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
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Ding, Ning, et al.. (2025). An investigation of phonological predictors in Chinese developmental dyslexia using a machine learning approach. Reading and Writing. 38(10). 2849–2873. 4 indexed citations
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Peng, Peng. (2025). Understanding the relations between cognition and academic skills in the context of instruction. Advances in child development and behavior. 68. 61–81.
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Zhang, Wenxiu, et al.. (2024). The meta-linguistic and domain-specific executive function profile of children with decoding or comprehension difficulties. Reading and Writing. 38(3). 789–819. 3 indexed citations
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Ding, Ning, et al.. (2024). Profiles of phonological deficits and comorbidity in Chinese developmental dyslexia. Reading and Writing. 38(9). 2685–2713. 3 indexed citations
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Georgiou, George K., et al.. (2023). What Components of Working Memory Are Impaired in Children with Reading and/or Mathematics Difficulties?. Children. 10(10). 1719–1719. 3 indexed citations
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Peng, Peng, et al.. (2023). Associations between antipsychotics and the risk of incident cardiovascular diseases in individuals with schizophrenia: a nested case–control study. SHILAP Revista de lepidopterología. 26(1). e300501–e300501. 2 indexed citations
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Ma, Juanjuan, et al.. (2023). Shifting as an executive function separate from updating and inhibition in old age: Behavioral and genetic evidence. Behavioural Brain Research. 452. 114604–114604. 2 indexed citations
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Peng, Peng, et al.. (2023). Robust SSRL analysis framework for intervention strategy construction in CSCL environment. Heliyon. 9(3). e14300–e14300. 1 indexed citations
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Hébert, Michael, et al.. (2022). Effects of Automaticity Training on Reading Performance: A Meta-Analysis. Journal of Behavioral Education. 33(1). 23–52.
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Peng, Peng, Xin Lin, Zehra E. Ünal, et al.. (2020). Examining the mutual relations between language and mathematics: A meta-analysis.. Psychological Bulletin. 146(7). 595–634. 161 indexed citations breakdown →
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Peng, Peng & Rogier Kievit. (2020). The Development of Academic Achievement and Cognitive Abilities: A Bidirectional Perspective. Child Development Perspectives. 14(1). 15–20. 284 indexed citations breakdown →
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Zhang, Zheng, Peng Peng, & Delong Zhang. (2020). Executive Function in High-Functioning Autism Spectrum Disorder: A Meta-analysis of fMRI Studies. Journal of Autism and Developmental Disorders. 50(11). 4022–4038. 38 indexed citations
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Namkung, Jessica M., Peng Peng, & Xin Lin. (2019). The Relation Between Mathematics Anxiety and Mathematics Performance Among School-Aged Students: A Meta-Analysis. Review of Educational Research. 89(3). 459–496. 234 indexed citations breakdown →
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Peng, Peng, et al.. (2019). A meta-analysis on the relation between fluid intelligence and reading/mathematics: Effects of tasks, age, and social economics status.. Psychological Bulletin. 145(2). 189–236. 200 indexed citations

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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