Yue Yuan

84 total papers · 496 total citations
37 papers, 318 citations indexed

About

Yue Yuan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yue Yuan has authored 37 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yue Yuan's work include Misinformation and Its Impacts (4 papers), Corporate Finance and Governance (4 papers) and Solar Radiation and Photovoltaics (4 papers). Yue Yuan is often cited by papers focused on Misinformation and Its Impacts (4 papers), Corporate Finance and Governance (4 papers) and Solar Radiation and Photovoltaics (4 papers). Yue Yuan collaborates with scholars based in China, United States and United Kingdom. Yue Yuan's co-authors include Chengke Zhou, Malcolm Allan, Kejun Qian, Qi Wang, Xuelong Li, Mohsin Shafi, Ke Yan, Jing Huang, Jie Zhang and Quan Xie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Yue Yuan

30 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
Yue Yuan	91	65	58	45	37	37	318
Leena Arhippainen	18 0.2×	11 0.2×	79 1.4×	16 0.4×	5 0.1×	39	314
Legand Burge	79 0.9×	9 0.1×	5 0.1×	30 0.7×	60 1.6×	55	341
Dong-Jin Shin	33 0.4×	11 0.2×	27 0.5×	5 0.1×	13 0.4×	32	349
David Li	12 0.1×	13 0.2×	109 1.9×	10 0.2×	42 1.1×	23	302
Tanja Urbančič	32 0.4×	11 0.2×	21 0.4×	4 0.1×	35 0.9×	34	366
Dimitrios Stamoulis	81 0.9×	5 0.1×	77 1.3×	26 0.6×	11 0.3×	39	308
César Analide	30 0.3×	14 0.2×	22 0.4×	11 0.2×	4 0.1×	36	247
Rohit Gupta	25 0.3×	8 0.1×	117 2.0×	28 0.6×	13 0.4×	18	302
Abdullah Basahel	33 0.4×	11 0.2×	18 0.3×	19 0.4×	7 0.2×	30	330
Bowen Yan	12 0.1×	8 0.1×	26 0.4×	6 0.1×	41 1.1×	24	325

Countries citing papers authored by Yue Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Yue Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Yuan

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