Kailiang Wu

32 papers and 626 indexed citations
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About

Kailiang Wu is a scholar working on Computational Mechanics, Applied Mathematics and Artificial Intelligence. According to data from OpenAlex, Kailiang Wu has authored 32 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Mechanics, 11 papers in Applied Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Kailiang Wu’s work include Computational Fluid Dynamics and Aerodynamics (19 papers), Gas Dynamics and Kinetic Theory (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Kailiang Wu is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (19 papers), Gas Dynamics and Kinetic Theory (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Kailiang Wu collaborates with scholars based in China, United States and Switzerland. Kailiang Wu's co-authors include Dongbin Xiu, Huazhong Tang, Tong Qin, Chi‐Wang Shu, Yulong Xing, Yaping Chen, Zhen Chen, Shumo Cui, Zhi-Cheng Yang and Yeonjong Shin and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and SIAM Journal on Scientific Computing.

In The Last Decade

Co-authorship network of co-authors of Kailiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kailiang Wu. A scholar is included among the top collaborators of Kailiang 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 Kailiang Wu. Kailiang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Kailiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kailiang Wu

Since Specialization
Citations

This map shows the geographic impact of Kailiang 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 Kailiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailiang 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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2026