Wei Yuan

110 total papers · 931 total citations
54 papers, 597 citations indexed

About

Wei Yuan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Wei Yuan has authored 54 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Wei Yuan's work include Robotics and Sensor-Based Localization (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Vision and Imaging (8 papers). Wei Yuan is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Vision and Imaging (8 papers). Wei Yuan collaborates with scholars based in China, Japan and United States. Wei Yuan's co-authors include Ryosuke Shibasaki, Xiaodan Shi, Zhiling Guo, Guangming Wu, Xiaowei Shao, Yongwei Xu, Qi Chen, Xiuxiao Yuan, Yang Cai and Haoran Zhang and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Wei Yuan

47 papers receiving 579 citations

Author Peers

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

Author						Papers	Cites
Wei Yuan	271	200	161	127	77	54	597
V. Prinet	377 1.4×	134 0.7×	106 0.7×	116 0.9×	78 1.0×	50	655
Mingqiang Guo	176 0.6×	172 0.9×	92 0.6×	100 0.8×	53 0.7×	48	501
Qing Wang	151 0.6×	156 0.8×	59 0.4×	48 0.4×	71 0.9×	67	569
Hongguang Li	313 1.2×	187 0.9×	48 0.3×	60 0.5×	135 1.8×	37	599
Andrey Kiselev	176 0.6×	144 0.7×	70 0.4×	61 0.5×	94 1.2×	41	639
Fang Fang	224 0.8×	188 0.9×	144 0.9×	89 0.7×	65 0.8×	48	626
Sheng He	389 1.4×	104 0.5×	60 0.4×	59 0.5×	82 1.1×	28	515
Qi Lv	257 0.9×	116 0.6×	62 0.4×	47 0.4×	212 2.8×	59	683
Youssef El Merabet	445 1.6×	159 0.8×	45 0.3×	48 0.4×	73 0.9×	43	658
Yi Wan	173 0.6×	186 0.9×	80 0.5×	142 1.1×	35 0.5×	63	645

Countries citing papers authored by Wei Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Wei Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yuan

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