Dazhi Cheng

62 total papers · 2.1k total citations
41 papers, 764 citations indexed

About

Dazhi Cheng is a scholar working on Statistics and Probability, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Dazhi Cheng has authored 41 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 14 papers in Cognitive Neuroscience and 14 papers in Developmental and Educational Psychology. Recurrent topics in Dazhi Cheng's work include Cognitive and developmental aspects of mathematical skills (18 papers), Reading and Literacy Development (11 papers) and Mathematics Education and Teaching Techniques (10 papers). Dazhi Cheng is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (18 papers), Reading and Literacy Development (11 papers) and Mathematics Education and Teaching Techniques (10 papers). Dazhi Cheng collaborates with scholars based in China, United States and Macao. Dazhi Cheng's co-authors include Zheng Zhang, Stephen Lin, Jifeng Dai, Xizhou Zhu, Xinlin Zhou, Qian Chen, Jiaxin Cui, Keming Xu, Yuejia Luo and Haiyan Wu and has published in prestigious journals such as Scientific Reports, Annals of the New York Academy of Sciences and Psychological Medicine.

In The Last Decade

Dazhi Cheng

37 papers receiving 745 citations

Hit Papers

An Empirical Study of Spa... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dazhi Cheng 201 182 165 132 112 41 764
Alberto Testolin 88 0.4× 142 0.8× 167 1.0× 63 0.5× 79 0.7× 51 679
Gayathri Narasimham 173 0.9× 28 0.2× 287 1.7× 134 1.0× 69 0.6× 31 811
Luis Puig 383 1.9× 61 0.3× 154 0.9× 82 0.6× 137 1.2× 46 891
Michael Tlauka 158 0.8× 35 0.2× 197 1.2× 125 0.9× 25 0.2× 35 699
Kasper Claes 81 0.4× 36 0.2× 262 1.6× 19 0.1× 57 0.5× 18 861
William A. Simpson 69 0.3× 20 0.1× 470 2.8× 24 0.2× 26 0.2× 63 838
Malcolm D. Arnoult 100 0.5× 45 0.2× 466 2.8× 120 0.9× 15 0.1× 20 780
Carson Pun 137 0.7× 40 0.2× 310 1.9× 64 0.5× 15 0.1× 28 681
Arnold J.W.M. Thomassen 86 0.4× 29 0.2× 554 3.4× 282 2.1× 200 1.8× 36 832
Carroll T. White 25 0.1× 57 0.3× 575 3.5× 51 0.4× 15 0.1× 33 827

Countries citing papers authored by Dazhi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Dazhi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dazhi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Dazhi Cheng. A scholar is included among the top collaborators of Dazhi Cheng 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 Dazhi Cheng. Dazhi Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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