Zhonghe Wu

27 total papers · 493 total citations
11 papers, 317 citations indexed

About

Zhonghe Wu is a scholar working on Education, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Zhonghe Wu has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Education, 4 papers in Applied Mathematics and 3 papers in Statistics and Probability. Recurrent topics in Zhonghe Wu's work include Mathematics Education and Teaching Techniques (8 papers), Mathematics Education and Pedagogy (4 papers) and Education Methods and Practices (3 papers). Zhonghe Wu is often cited by papers focused on Mathematics Education and Teaching Techniques (8 papers), Mathematics Education and Pedagogy (4 papers) and Education Methods and Practices (3 papers). Zhonghe Wu collaborates with scholars based in United States. Zhonghe Wu's co-authors include Shuhua An, Gerald Kulm, Allan L White, Philip Clarkson, Kaye Stacey, Loh Sau Cheong and Chew Cheng Meng and has published in prestigious journals such as ZDM, Journal of Mathematics Teacher Education and International Journal of Science and Mathematics Education.

In The Last Decade

Zhonghe Wu

11 papers receiving 269 citations

Author Peers

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

Author Last Decade Papers Cites
Zhonghe Wu 290 104 48 20 19 11 317
Erhan Bingölbali 285 1.0× 105 1.0× 45 0.9× 15 0.8× 21 1.1× 23 317
Denise S. Mewborn 341 1.2× 99 1.0× 18 0.4× 33 1.6× 6 0.3× 23 366
Óscar Chávez 303 1.0× 129 1.2× 27 0.6× 23 1.1× 5 0.3× 12 353
Margaret Kinzel 254 0.9× 105 1.0× 29 0.6× 13 0.7× 5 0.3× 19 285
Aaron Weinberg 275 0.9× 148 1.4× 27 0.6× 12 0.6× 10 0.5× 18 340
Björn Schwarz 212 0.7× 57 0.5× 30 0.6× 11 0.6× 5 0.3× 14 246
Tomas Bergqvist 275 0.9× 122 1.2× 55 1.1× 24 1.2× 4 0.2× 21 303
Björn Palmberg 240 0.8× 61 0.6× 27 0.6× 17 0.8× 4 0.2× 16 283
Monica Wijers 208 0.7× 58 0.6× 54 1.1× 37 1.9× 6 0.3× 14 313
Karen Heinz 206 0.7× 86 0.8× 18 0.4× 13 0.7× 5 0.3× 8 231

Countries citing papers authored by Zhonghe Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghe Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghe Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghe Wu. A scholar is included among the top collaborators of Zhonghe 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 Zhonghe Wu. Zhonghe Wu 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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