Jiyong An

705 citations

24 papers · 424 indexed · h-index 14

Molecular Biology
Computational Theory and Mathematics top 5%
Plant Science
Biochemistry top 10%
Cancer Research

Co-authors: Zhu‐Hong You Yong Zhou Xing Chen Jun Niu Guiying Yan Shanzhi Lin Zhixiang Zhang Dehong Zhang
Topics: Machine Learning in Bioinformatics (15 papers)Bioinformatics and Genomic Networks (10 papers)Protein Structure and Dynamics (8 papers)
Cited by: Biochemistry Computational Theory and Mathematics Molecular Biology
Journals: Scientific Reports International Journal of Molecular Sciences Molecules
Partner nations: China United States Taiwan

In The Last Decade

Jiyong An

24 papers receiving 421 citations

Peers

Countries citing papers authored by Jiyong An

Since Specialization

Citations

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

Fields of papers citing papers by Jiyong An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyong An

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An Effective Computational Method for Predicting Self-Interacting Proteins Based on VGGNet Convolutional Neural Network and Gray-Level Co-occurrence Matrix 2024 ·Evolutionary Bioinformatics ·(unknown),Jiyong An,(unknown)	1
2	Computational method using heterogeneous graph convolutional network model combined with reinforcement layer for MiRNA–disease association prediction 2022 ·BMC Bioinformatics ·Dan Huang,Jiyong An,Lei Zhang,(unknown)	1
3	An efficient computational method for predicting drug-target interactions using weighted extreme learning machine and speed up robot features 2021 ·BioData Mining ·Jiyong An,(unknown),(unknown)	5
4	Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information 2020 ·Evolutionary Bioinformatics ·Jiyong An,Yong Zhou,(unknown),Yujun Zhao	2
5	Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model 2020 ·BMC Bioinformatics ·Lei Zhang,(unknown),Zhengwei Li,Xiaoyan Zhu,Zhizhen Liang,Jiyong An	18
6	Sequence-based Prediction of Protein-Protein Interactions Using Gray Wolf Optimizer–Based Relevance Vector Machine 2019 ·Evolutionary Bioinformatics ·Jiyong An,Zhu‐Hong You,Yong Zhou,(unknown)	13
7	PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation 2018 ·International Journal of Molecular Sciences ·Liping Li,Yanbin Wang,Zhu‐Hong You,Yang Li,Jiyong An	16
8	Improving Self-interacting Proteins Prediction Accuracy Using Protein Evolutionary Information and Weighed-Extreme Learning Machine 2018 ·Current Bioinformatics ·Jiyong An,Yong Zhou,(unknown),Qiang Niu,(unknown)	10
9	Integrated analysis of 454 and Illumina transcriptomic sequencing characterizes carbon flux and energy source for fatty acid synthesis in developing Lindera glauca fruits for woody biodiesel 2017 ·Biotechnology for Biofuels ·(unknown),Jiyong An,Jia Wang,Jun Niu,Chao Ma,Libing Wang,(unknown),Lingling Shi,Lili Liu,Jin‐Song Zhang,Zhixiang Zhang,Ji Qi,Shanzhi Lin	30
10	Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC 2017 ·Journal of Theoretical Biology ·(unknown),Tianjie Cao,Jiyong An,(unknown)	10
11	Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information 2017 ·Journal of Cheminformatics ·Jiyong An,(unknown),Yong Zhou,(unknown),(unknown)	13
12	Prediction of Drug–Target Interaction Networks from the Integration of Protein Sequences and Drug Chemical Structures 2017 ·Molecules ·(unknown),Zhu‐Hong You,Xing Chen,Yong Zhou,Jiyong An	59
13	Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information 2016 ·Molecular BioSystems ·Jiyong An,Zhu‐Hong You,Xing Chen,De-Shuang Huang,Guiying Yan,(unknown)	9
14	Integrated mRNA and miRNA transcriptome reveal a cross-talk between developing response and hormone signaling for the seed kernels of Siberian apricot 2016 ·Scientific Reports ·Jun Niu,Jia Wang,Jiyong An,Lili Liu,(unknown),Rui Wang,Libing Wang,Chao Ma,(unknown),Shanzhi Lin	23
15	Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix 2016 ·Oncotarget ·Jiyong An,Zhu‐Hong You,Xing Chen,De-Shuang Huang,Zhengwei Li,Gang Liu,Yin Wang	12
16	Cross-talk between freezing response and signaling for regulatory transcriptions of MIR475b and its targets by miR475b promoter in Populus suaveolens 2016 ·Scientific Reports ·Jun Niu,Jia Wang,(unknown),(unknown),Jiyong An,Jian Cai,Runze Sun,(unknown),(unknown),Shanzhi Lin	16
17	Improving protein–protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model 2016 ·Protein Science ·Jiyong An,(unknown),Zhu‐Hong You,Xing Chen,Guiying Yan,(unknown)	22
18	Transcriptome analysis of distinct Lindera glauca tissues revealed the differences in the unigenes related to terpenoid biosynthesis 2015 ·Gene ·Jun Niu,(unknown),(unknown),Jiyong An,Denglong Ha,Lin Qiu,(unknown),Haiyan Zhao,(unknown),Ji Qi,Zhixiang Zhang,(unknown),Shanzhi Lin	28
19	Integrated transcriptome sequencing and dynamic analysis reveal carbon source partitioning between terpenoid and oil accumulation in developing Lindera glauca fruits 2015 ·Scientific Reports ·Jun Niu,(unknown),Jiyong An,(unknown),Jian Cai,Jia Wang,Zhixiang Zhang,Shanzhi Lin	18
20	Transcriptomic analysis revealed the mechanism of oil dynamic accumulation during developing Siberian apricot (Prunus sibirica L.) seed kernels for the development of woody biodiesel 2015 ·Biotechnology for Biofuels ·Jun Niu,Jiyong An,Libing Wang,(unknown),Denglong Ha,Chengyu Fu,Lin Qiu,Haiyan Yu,Haiyan Zhao,(unknown),Zheng Xiang,(unknown),Zhixiang Zhang,Xinyi Feng,Shanzhi Lin	34

About Jiyong An

Jiyong An is a scholar working on Biochemistry, Molecular Biology and Computational Theory and Mathematics, having authored 24 papers that have together received 424 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (15 papers), Bioinformatics and Genomic Networks (10 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Biochemistry (56 citations), Computational Theory and Mathematics (112 citations) and Molecular Biology (362 citations). Jiyong An has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhu‐Hong You, Yong Zhou, Xing Chen, Jun Niu, Guiying Yan, Shanzhi Lin, Zhixiang Zhang, Xing Chen, Dehong Zhang and Libing Wang. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

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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