Yujun Chen

119 total papers · 827 total citations
57 papers, 539 citations indexed

About

Yujun Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yujun Chen has authored 57 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yujun Chen's work include Complex Network Analysis Techniques (6 papers), Neural Networks and Reservoir Computing (5 papers) and Space Satellite Systems and Control (5 papers). Yujun Chen is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Neural Networks and Reservoir Computing (5 papers) and Space Satellite Systems and Control (5 papers). Yujun Chen collaborates with scholars based in China, United States and Saudi Arabia. Yujun Chen's co-authors include Keqin Li, Jianhua Jiang, Tom Goldstein, Joseph R. Cavallaro, Christoph Studer, Kaipeng Li, Limin Wang, Xianqiu Meng, Shiming Chen and Milan Parmar and has published in prestigious journals such as Optics Express, Energy and Information Sciences.

In The Last Decade

Yujun Chen

47 papers receiving 528 citations

Author Peers

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

Author						Papers	Cites
Yujun Chen	188	162	123	73	72	57	539
Tao Wu	156 0.8×	165 1.0×	262 2.1×	52 0.7×	57 0.8×	80	565
Wen Jiang	135 0.7×	189 1.2×	70 0.6×	75 1.0×	76 1.1×	44	571
Yuwei Wang	238 1.3×	144 0.9×	57 0.5×	31 0.4×	47 0.7×	57	615
Weijie Tan	159 0.8×	179 1.1×	80 0.7×	43 0.6×	225 3.1×	108	610
Yun Chen	89 0.5×	179 1.1×	137 1.1×	46 0.6×	50 0.7×	32	610
Yu Jiang	297 1.6×	186 1.1×	82 0.7×	86 1.2×	111 1.5×	56	563
Bin Liu	109 0.6×	118 0.7×	178 1.4×	63 0.9×	46 0.6×	38	449
Daniel-Ioan Curiac	133 0.7×	100 0.6×	280 2.3×	65 0.9×	149 2.1×	56	558
Xu Zhou	172 0.9×	119 0.7×	93 0.8×	124 1.7×	57 0.8×	32	602
Constantin Voloşencu	159 0.8×	88 0.5×	176 1.4×	52 0.7×	126 1.8×	61	521

Countries citing papers authored by Yujun Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yujun Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujun Chen

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