Yi Yue

2.3k total citations · 2 hit papers
19 papers, 793 citations indexed

About

Yi Yue is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Yi Yue has authored 19 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Yi Yue's work include Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers) and Chromosomal and Genetic Variations (3 papers). Yi Yue is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers) and Chromosomal and Genetic Variations (3 papers). Yi Yue collaborates with scholars based in China, Taiwan and Australia. Yi Yue's co-authors include Yunzhi Wu, Xi Cheng, Yiqiong Chen, Youhua Zhang, Chen Ye, Shuo Cao, Ying Wu, Junyang Yue, Xu Wang and Yingzhen Wang and has published in prestigious journals such as PLoS ONE, Cancer Research and BMC Bioinformatics.

In The Last Decade

Yi Yue

18 papers receiving 773 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pest identification via deep residual learning in complex background

2017 273 citations Xi Cheng, Youhua Zhang et al. Computers and Electronics in Agriculture profile →
quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification

2023 141 citations Yunzhi Lin, Chen Ye et al. Horticulture Research profile →

Peers

Yi Yue

ECOLO

GENET

Anja Hartmann Germany

Siyuan Chen China

Hongli Luo China

Shaheen Shahzad Pakistan

Ellen Mosleth Færgestad Norway

Sebastian Klie Germany

Janick Mathys Belgium

Jun Su China

Suzhi Zhang China

Anja Hartmann Germany

Yi Yue

748 ×1.6

437 ×1.4

98 ×1.1

ECOLO

88 ×1.2

GENET

32 ×0.5

Citations per year, relative to Yi Yue Yi Yue (= 1×) peers Anja Hartmann

Countries citing papers authored by Yi Yue

Since Specialization

Citations

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

Fields of papers citing papers by Yi Yue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Yue. A scholar is included among the top collaborators of Yi Yue 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 Yi Yue. Yi Yue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Li, Bingjie, Xin Liu, Kefeng Li, et al.. (2025). KPGD: A kiwifruit pangenome database for comprehensive mining of genetic diversity in the genus Actinidia. Plant Communications. 6(8). 101373–101373.

Wang, Kang, et al.. (2024). Small extracellular vesicles derived from microRNA-22-3p-overexpressing mesenchymal stem cells protect retinal ganglion cells by regulating MAPK pathway. Communications Biology. 7(1). 807–807. 6 indexed citations

Ye, Chen, Qi Wu, Shuxia Chen, et al.. (2024). ECDEP: identifying essential proteins based on evolutionary community discovery and subcellular localization. BMC Genomics. 25(1). 117–117. 2 indexed citations

Liu, Yinbo, Le Zhou, Yu‐Chen Liu, et al.. (2024). Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs. BMC Genomics. 25(1). 1161–1161. 1 indexed citations

Zhao, Xiao Hong, Qian Yan, Yi Yue, et al.. (2024). Abstract 7052: p53 underpins a dependence on oxidative phosphorylation in glycolysis-competent colorectal cancer. Cancer Research. 84(6_Supplement). 7052–7052. 1 indexed citations

Wen, Kai, Yang Cai, Teng He, et al.. (2023). Identification and characterization of extrachromosomal circular DNA in patients with high myopia and cataract. Epigenetics. 18(1). 2192324–2192324. 15 indexed citations

Lin, Yunzhi, Chen Ye, Ying Wu, et al.. (2023). quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification. Horticulture Research. 10(8). uhad127–uhad127. 141 indexed citations breakdown →

Ding, Jie, Cheng Zhang, Xi Cheng, et al.. (2023). Method for Classifying Apple Leaf Diseases Based on Dual Attention and Multi-Scale Feature Extraction. Agriculture. 13(5). 940–940. 9 indexed citations

Yue, Yi, et al.. (2022). A deep learning framework for identifying essential proteins based on multiple biological information. BMC Bioinformatics. 23(1). 318–318. 16 indexed citations

10.

Yue, Junyang, Yingzhen Wang, Lei Zhang, et al.. (2022). Telomere-to-telomere and gap-free reference genome assembly of the kiwifruit Actinidia chinensis. Horticulture Research. 10(2). uhac264–uhac264. 59 indexed citations

11.

Liu, Xinyi, et al.. (2021). IdentPMP: identification of moonlighting proteins in plants using sequence-based learning models. PeerJ. 9. e11900–e11900. 3 indexed citations

12.

Mi, Xiaozeng, Yi Yue, Yanlin An, et al.. (2021). TeaAS: a comprehensive database for alternative splicing in tea plants (Camellia sinensis). BMC Plant Biology. 21(1). 280–280. 13 indexed citations

13.

Yue, Yi, Qi Zhao, Huimin Dou, et al.. (2020). Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets. BMC Bioinformatics. 21(1). 334–334. 54 indexed citations

14.

Yue, Yi, Xi Cheng, Yunzhi Wu, et al.. (2018). Deep recursive super resolution network with Laplacian Pyramid for better agricultural pest surveillance and detection. Computers and Electronics in Agriculture. 150. 26–32. 45 indexed citations

15.

Cheng, Xi, Youhua Zhang, Yiqiong Chen, Yunzhi Wu, & Yi Yue. (2017). Pest identification via deep residual learning in complex background. Computers and Electronics in Agriculture. 141. 351–356. 273 indexed citations breakdown →

16.

Yue, Yi, Gang-Xiu Chu, Wei Wang, et al.. (2014). TMDB: A literature-curated database for small molecular compounds found from tea. BMC Plant Biology. 14(1). 243–243. 68 indexed citations

17.

Zhang, Shihua, Yi Yue, Yunzhi Wu, et al.. (2013). PASmiR: a literature-curated database for miRNA molecular regulation in plant response to abiotic stress. BMC Plant Biology. 13(1). 33–33. 62 indexed citations

18.

Liu, Yueting, Xinggang Mao, Bolin Liu, et al.. (2013). Knockdown of FRAT1 Expression by RNA Interference Inhibits Human Glioblastoma Cell Growth, Migration and Invasion. PLoS ONE. 8(4). e61206–e61206. 24 indexed citations

19.

Jiang, Zhaohui, et al.. (2012). Online Monitoring and Analysis of Plant Photosynthetic Physiology and Environmental Factors. Applied Mechanics and Materials. 241-244. 75–80. 1 indexed citations

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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