Shujing Wu

41 total papers · 585 total citations
31 papers, 362 citations indexed

About

Shujing Wu is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shujing Wu has authored 31 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mechanical Engineering, 22 papers in Biomedical Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Shujing Wu's work include Advanced machining processes and optimization (23 papers), Advanced Surface Polishing Techniques (21 papers) and Advanced Machining and Optimization Techniques (16 papers). Shujing Wu is often cited by papers focused on Advanced machining processes and optimization (23 papers), Advanced Surface Polishing Techniques (21 papers) and Advanced Machining and Optimization Techniques (16 papers). Shujing Wu collaborates with scholars based in China, Japan and United Kingdom. Shujing Wu's co-authors include Dazhong Wang, Changhe Li, Buxin Zhang, Qinglong An, Feng Jiang, Shanglei Yang, Jinyang Xu, Lida Zhu, Jiapeng Chen and Guojun Dong and has published in prestigious journals such as Journal of Cleaner Production, Journal of Materials Processing Technology and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Shujing Wu

30 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Shujing Wu 318 212 126 56 47 31 362
Jonas Holmberg 328 1.0× 154 0.7× 146 1.2× 57 1.0× 33 0.7× 29 393
E. Uhlmann 286 0.9× 169 0.8× 80 0.6× 116 2.1× 42 0.9× 29 383
Mariusz Michalski 323 1.0× 113 0.5× 135 1.1× 44 0.8× 44 0.9× 18 343
Eamonn Ahearne 200 0.6× 154 0.7× 69 0.5× 45 0.8× 34 0.7× 20 310
Zhichao Niu 323 1.0× 165 0.8× 117 0.9× 47 0.8× 41 0.9× 21 376
Jun Shinozuka 309 1.0× 227 1.1× 129 1.0× 50 0.9× 43 0.9× 37 392
Ramezan Ali Mahdavinejad 356 1.1× 126 0.6× 193 1.5× 47 0.8× 36 0.8× 20 379
Basanta Kumar Nanda 279 0.9× 193 0.9× 183 1.5× 17 0.3× 28 0.6× 34 370
Kunyang Lin 355 1.1× 163 0.8× 168 1.3× 40 0.7× 21 0.4× 29 382
Xingjun Gao 191 0.6× 154 0.7× 148 1.2× 37 0.7× 18 0.4× 34 357

Countries citing papers authored by Shujing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shujing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujing Wu

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