Kun Wu

38 total papers · 512 total citations
26 papers, 349 citations indexed

About

Kun Wu is a scholar working on Aerospace Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Kun Wu has authored 26 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 12 papers in Control and Systems Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Kun Wu's work include Robotic Path Planning Algorithms (7 papers), Adaptive Control of Nonlinear Systems (7 papers) and Distributed Control Multi-Agent Systems (7 papers). Kun Wu is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), Adaptive Control of Nonlinear Systems (7 papers) and Distributed Control Multi-Agent Systems (7 papers). Kun Wu collaborates with scholars based in China, Taiwan and United States. Kun Wu's co-authors include Jiang Zhao, Zhihao Cai, Yingxun Wang, Hui Zhou, Han Liu, Jiaming Sun, Xiang He, Weijun Liu, Xiaomei Cheng and Xue-Gang Zhou and has published in prestigious journals such as IEEE Access, Sensors and Mechanical Systems and Signal Processing.

In The Last Decade

Kun Wu

22 papers receiving 340 citations

Author Peers

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

Author						Papers	Cites
Kun Wu	183	173	162	128	36	26	349
Jindou Jia	267 1.5×	143 0.8×	85 0.5×	84 0.7×	33 0.9×	18	339
Rogelio Lozano	246 1.3×	177 1.0×	144 0.9×	112 0.9×	22 0.6×	21	367
Tianpeng Huang	221 1.2×	156 0.9×	78 0.5×	119 0.9×	19 0.5×	29	341
Dev Rajnarayan	121 0.7×	176 1.0×	77 0.5×	105 0.8×	41 1.1×	15	351
Vinícius Mariano Gonçalves	171 0.9×	162 0.9×	97 0.6×	236 1.8×	18 0.5×	36	397
J. A. Guerrero	100 0.5×	140 0.8×	87 0.5×	123 1.0×	22 0.6×	23	301
Ghulam Farid	185 1.0×	122 0.7×	68 0.4×	89 0.7×	34 0.9×	27	314
Moad Idrissi	149 0.8×	104 0.6×	67 0.4×	68 0.5×	35 1.0×	15	294
Cheng He	90 0.5×	135 0.8×	92 0.6×	133 1.0×	47 1.3×	29	309
Li Yu	202 1.1×	106 0.6×	61 0.4×	76 0.6×	23 0.6×	27	340

Countries citing papers authored by Kun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Kun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wu

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