Yue Deng

434 total citations
17 papers, 268 citations indexed

About

Yue Deng is a scholar working on Molecular Biology, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Yue Deng has authored 17 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Yue Deng's work include Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (4 papers) and Functional Brain Connectivity Studies (4 papers). Yue Deng is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (4 papers) and Functional Brain Connectivity Studies (4 papers). Yue Deng collaborates with scholars based in China, Canada and Hong Kong. Yue Deng's co-authors include Lin Gao, Bingbo Wang, Zewen Xiao, Xingli Guo, Kangguang Lin, Georg S. Kranz, Ruibin Zhang, Tatia M.C. Lee, Yong Gao and Yu Wang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Yue Deng

16 papers receiving 264 citations

Peers

Countries citing papers authored by Yue Deng

Since Specialization

Citations

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

Fields of papers citing papers by Yue Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Deng

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Determinable and interpretable network representation for link prediction 2022 ·Scientific Reports ·Yue Deng	2
2	Recommender Systems Based on Graph Embedding Techniques: A Review 2022 ·IEEE Access ·Yue Deng	14
3	Effect of Eurotium cristatum fermentation on the α-glucosidase inhibitory activity of mulberry leaves flavonoid extract 2021 ·Yue Deng	1
4	Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network 2020 ·PLoS ONE ·Zewen Xiao, Yue Deng	29
5	Rumination network dysfunction in major depression: A brain connectome study 2019 ·Progress in Neuro-Psychopharmacology and Biological Psychiatry ·Ruibin Zhang, Georg S. Kranz, (unknown), Yue Deng, (unknown), Kangguang Lin, Tatia M.C. Lee	50
6	Aberrant brain structural–functional connectivity coupling in euthymic bipolar disorder 2019 ·Human Brain Mapping ·(unknown), Robin Shao, Guiyun Xu, Weicong Lu, Wenjing Zheng, (unknown), Kun Chen, Yanling Gao, (unknown), Lijie Guan, Roger S. McIntyre, Yue Deng, (unknown), Kwok‐Fai So, Kangguang Lin	44
7	Aberrant Brain Structural-Functional Connectivity Coupling in Euthymic Bipolar Disorder 2018 ·SSRN Electronic Journal ·Ruibin Zhang, Robin Shao, Guiyun Xu, Weicong Lu, Wenjing Zheng, (unknown), Kun Chen, Yanling Gao, (unknown), Lijie Guan, Roger S. McIntyre, Yue Deng, (unknown), Kwok‐Fai So, Kangguang Lin	1
8	Large-scale Investigation of Long Noncoding RNA Secondary Structures in Human and Mouse 2018 ·Current Bioinformatics ·Xingli Guo, Lin Gao, Yu Wang, David Chiu, Bingbo Wang, Yue Deng, Wen Xiao	4
9	HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiation 2017 ·Bioinformatics ·Yue Deng, Héctor Zenil, Jesper Tegnér, Narsis A. Kiani	7
10	Integrating phenotypic features and tissue-specific information to prioritize disease genes 2016 ·Science China Information Sciences ·Yue Deng, Lin Gao, Xingli Guo, Bingbo Wang	3
11	HPOSim: An R Package for Phenotypic Similarity Measure and Enrichment Analysis Based on the Human Phenotype Ontology 2015 ·PLoS ONE ·Yue Deng, Lin Gao, Bingbo Wang, Xingli Guo	42
12	Diversified Control Paths: A Significant Way Disease Genes Perturb the Human Regulatory Network 2015 ·PLoS ONE ·Bingbo Wang, Lin Gao, Qingfang Zhang, Aimin Li, Yue Deng, Xingli Guo	7
13	N-Acetyltransferase 2 status and gastric cancer risk: a meta-analysis 2014 ·Tumor Biology ·(unknown), Yue Deng, (unknown)	6
14	Parameter optimization of linear ordinary differential equations with application in gene regulatory network inference problems 2014 ·KTH Publication Database DiVA (KTH Royal Institute of Technology) ·Yue Deng	0
15	Controllability and observability analysis for vertex domination centrality in directed networks 2014 ·Scientific Reports ·Bingbo Wang, Lin Gao, Yong Gao, Yue Deng, Yu Wang	32
16	ppiPre: predicting protein-protein interactions by combining heterogeneous features 2013 ·BMC Systems Biology ·Yue Deng, Lin Gao, Bingbo Wang	24
17	ppiPre - an R package for predicting protein-protein interactions 2012 ·Yue Deng, Lin Gao	2

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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