Yueru Chen

86 total papers · 1.1k total citations
49 papers, 553 citations indexed

About

Yueru Chen is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Molecular Biology. According to data from OpenAlex, Yueru Chen has authored 49 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Plant Science and 9 papers in Molecular Biology. Recurrent topics in Yueru Chen's work include Phytochemistry and Biological Activities (8 papers), Advanced Neural Network Applications (7 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Yueru Chen is often cited by papers focused on Phytochemistry and Biological Activities (8 papers), Advanced Neural Network Applications (7 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Yueru Chen collaborates with scholars based in China, United States and Taiwan. Yueru Chen's co-authors include C.‐C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Jinglong Jiang, Chongying Wang, Zhengxi Sun, Jongmoo Choi, Chengjin Jiao and Feng‐Min Li and has published in prestigious journals such as International Journal of Hydrogen Energy, Molecules and International Journal of Pharmaceutics.

In The Last Decade

Yueru Chen

46 papers receiving 536 citations

Author Peers

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

Author						Papers	Cites
Yueru Chen	190	109	91	67	48	49	553
Qingyun Sun	156 0.8×	340 3.1×	76 0.8×	41 0.6×	35 0.7×	44	649
Xiaoyu Li	240 1.3×	104 1.0×	68 0.7×	68 1.0×	13 0.3×	76	642
Zhipeng Zhou	230 1.2×	101 0.9×	82 0.9×	40 0.6×	128 2.7×	39	552
Yingjie Cai	189 1.0×	66 0.6×	55 0.6×	25 0.4×	58 1.2×	40	634
Jianwei Yang	380 2.0×	106 1.0×	78 0.9×	35 0.5×	35 0.7×	57	660
Mehmet Türkan	232 1.2×	87 0.8×	43 0.5×	52 0.8×	35 0.7×	41	670
Saulo Martiello Mastelini	77 0.4×	116 1.1×	38 0.4×	55 0.8×	17 0.4×	31	596
Şahin Işık	183 1.0×	75 0.7×	94 1.0×	21 0.3×	14 0.3×	46	497
Yulong Wang	175 0.9×	109 1.0×	51 0.6×	34 0.5×	18 0.4×	23	499
Maryam Tayefeh Mahmoudi	180 0.9×	124 1.1×	55 0.6×	50 0.7×	10 0.2×	46	592

Countries citing papers authored by Yueru Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yueru Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueru Chen

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