Daoxia Wu

14 papers and 549 indexed citations i.

About

Daoxia Wu is a scholar working on Mechanical Engineering, Materials Chemistry and Ecological Modeling. According to data from OpenAlex, Daoxia Wu has authored 14 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 5 papers in Materials Chemistry and 5 papers in Ecological Modeling. Recurrent topics in Daoxia Wu’s work include Surface Treatment and Residual Stress (9 papers), Advanced machining processes and optimization (8 papers) and Erosion and Abrasive Machining (5 papers). Daoxia Wu is often cited by papers focused on Surface Treatment and Residual Stress (9 papers), Advanced machining processes and optimization (8 papers) and Erosion and Abrasive Machining (5 papers). Daoxia Wu collaborates with scholars based in China. Daoxia Wu's co-authors include Changfeng Yao, Dinghua Zhang, Liang Tan, Jiyin Zhang, Junxue Ren, Zheng Zhou, Xin‐Chao Huang, Jin Ren, Junxue Ren and Kaining Shi and has published in prestigious journals such as Applied Surface Science, International Journal of Fatigue and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Co-authorship network of co-authors of Daoxia Wu i

Fields of papers citing papers by Daoxia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daoxia Wu

Since Specialization
Citations

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

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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2025