Weihui Wu

25 total papers · 514 total citations
15 papers, 376 citations indexed

About

Weihui Wu is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Weihui Wu has authored 15 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Automotive Engineering, 8 papers in Mechanical Engineering and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Weihui Wu's work include Additive Manufacturing and 3D Printing Technologies (10 papers), Additive Manufacturing Materials and Processes (8 papers) and Manufacturing Process and Optimization (3 papers). Weihui Wu is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (10 papers), Additive Manufacturing Materials and Processes (8 papers) and Manufacturing Process and Optimization (3 papers). Weihui Wu collaborates with scholars based in China, Singapore and Egypt. Weihui Wu's co-authors include Yongqiang Yang, Di Wang, Jie Chen, Liu Yang, Changjun Han, Yuchao Bai, Cheng Deng, Yonggang Wang, Linqing Liu and Xin Lin and has published in prestigious journals such as International Communications in Heat and Mass Transfer, Optics and Lasers in Engineering and Agronomy.

In The Last Decade

Weihui Wu

15 papers receiving 357 citations

Hit Papers

Recent progress on additi... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Weihui Wu 310 243 50 48 36 15 376
Liu Yang 364 1.2× 256 1.1× 73 1.5× 41 0.9× 33 0.9× 11 421
Mathieu Suard 299 1.0× 238 1.0× 37 0.7× 62 1.3× 57 1.6× 8 344
Emmanuel Rodriguez 336 1.1× 259 1.1× 61 1.2× 34 0.7× 53 1.5× 11 409
James Mutua 304 1.0× 210 0.9× 47 0.9× 35 0.7× 33 0.9× 26 383
Vegard Brøtan 280 0.9× 191 0.8× 48 1.0× 70 1.5× 21 0.6× 21 336
B.K. Nagesha 329 1.1× 210 0.9× 37 0.7× 53 1.1× 50 1.4× 20 385
Pavel Hanzl 300 1.0× 240 1.0× 73 1.5× 32 0.7× 22 0.6× 19 332
Hoyeol Kim 257 0.8× 169 0.7× 58 1.2× 32 0.7× 24 0.7× 17 342
James McGuffin-Cawley 279 0.9× 116 0.5× 26 0.5× 62 1.3× 20 0.6× 15 346
Fátima M. Barreiros 270 0.9× 266 1.1× 109 2.2× 41 0.9× 66 1.8× 14 426

Countries citing papers authored by Weihui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weihui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihui Wu

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