Defa Wu

94 total papers · 1.4k total citations
69 papers, 996 citations indexed

About

Defa Wu is a scholar working on Mechanical Engineering, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, Defa Wu has authored 69 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Mechanical Engineering, 27 papers in Mechanics of Materials and 22 papers in Ocean Engineering. Recurrent topics in Defa Wu's work include Hydraulic and Pneumatic Systems (40 papers), Oil and Gas Production Techniques (14 papers) and Advanced Sensor and Control Systems (9 papers). Defa Wu is often cited by papers focused on Hydraulic and Pneumatic Systems (40 papers), Oil and Gas Production Techniques (14 papers) and Advanced Sensor and Control Systems (9 papers). Defa Wu collaborates with scholars based in China and Egypt. Defa Wu's co-authors include Yinshui Liu, Donglin Li, Xufeng Zhao, Yipan Deng, Yinshui Liu, Qian Cheng, Zhenyao Wang, Chao Li, Ammar H. Elsheikh and Mohamed Abd Elaziz and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and IEEE Access.

In The Last Decade

Defa Wu

62 papers receiving 968 citations

Author Peers

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

Author Last Decade Papers Cites
Defa Wu 797 399 211 195 132 69 996
Yinshui Liu 680 0.9× 359 0.9× 154 0.7× 129 0.7× 90 0.7× 78 853
Vassilios Kappatos 465 0.6× 454 1.1× 181 0.9× 174 0.9× 176 1.3× 83 1.1k
Massimo Borghi 589 0.7× 202 0.5× 89 0.4× 188 1.0× 109 0.8× 111 975
Cem Selcuk 482 0.6× 345 0.9× 143 0.7× 58 0.3× 170 1.3× 57 941
Zhanfeng Chen 471 0.6× 199 0.5× 117 0.6× 150 0.8× 75 0.6× 80 829
Abdennour Seibi 581 0.7× 363 0.9× 224 1.1× 86 0.4× 63 0.5× 92 1.1k
Xin Liu 377 0.5× 376 0.9× 129 0.6× 64 0.3× 114 0.9× 64 899
Xiaobing Liu 657 0.8× 634 1.6× 198 0.9× 45 0.2× 149 1.1× 97 1.0k
Michael Müller 660 0.8× 497 1.2× 62 0.3× 43 0.2× 111 0.8× 88 1.1k
Qingyou Liu 642 0.8× 360 0.9× 384 1.8× 211 1.1× 55 0.4× 95 1.2k

Countries citing papers authored by Defa Wu

Since Specialization
Citations

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

Fields of papers citing papers by Defa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Defa Wu

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