Jiyun Zhou

1.1k total citations
22 papers, 859 citations indexed

About

Jiyun Zhou is a scholar working on Molecular Biology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Jiyun Zhou has authored 22 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Jiyun Zhou's work include Machine Learning in Bioinformatics (14 papers), RNA and protein synthesis mechanisms (13 papers) and Protein Structure and Dynamics (7 papers). Jiyun Zhou is often cited by papers focused on Machine Learning in Bioinformatics (14 papers), RNA and protein synthesis mechanisms (13 papers) and Protein Structure and Dynamics (7 papers). Jiyun Zhou collaborates with scholars based in China, United States and Hong Kong. Jiyun Zhou's co-authors include Ruifeng Xu, Xiaolong Wang, Bin Liu, Jinghao Xu, Hongpeng Wang, Yulan He, Xun Lan, Kuo‐Chen Chou, Qin Lu and Lin Gui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Jiyun Zhou

20 papers receiving 844 citations

Peers

Countries citing papers authored by Jiyun Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Jiyun Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyun Zhou. A scholar is included among the top collaborators of Jiyun Zhou 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 Jiyun Zhou. Jiyun Zhou 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	Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia 2025 ·Cell Genomics ·Jiyun Zhou, Chongyuan Luo, Hanqing Liu, (unknown), Richard E. Straub, Joel E. Kleinman, Thomas M. Hyde, Joseph R. Ecker, Daniel R. Weinberger, Shizhong Han	3
2	Deep learning predicts DNA methylation regulatory variants in specific brain cell types and enhances fine mapping for brain disorders 2025 ·Science Advances ·Jiyun Zhou, Daniel R. Weinberger, Shizhong Han	3
3	SSIE-Diffusion: Personalized Generative Model for Subject-Specific Image Editing 2024 ·L. Jay Guo, (unknown), Kaiqun Fu, Jiyun Zhou	0
4	Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders 2022 ·Proceedings of the National Academy of Sciences ·Jiyun Zhou, Qiang Chen, Patricia Braun, Kira A. Perzel Mandell, Andrew E. Jaffe, Hao Yang Tan, Thomas M. Hyde, Joel E. Kleinman, James B. Potash, Gen Shinozaki, Daniel R. Weinberger, Shizhong Han	13
5	PTWA: Pre-Training with Word Attention for Chinese Named Entity Recognition 2021 ·Kaixin Ma, (unknown), Tiejun Zhao, Jiyun Zhou, Yu Yang	0
6	T-Bert: A Spam Review Detection Model Combining Group Intelligence and Personalized Sentiment Information 2021 ·Lecture notes in computer science ·Yue Shang, (unknown), Tiejun Zhao, Jiyun Zhou	2
7	Detecting Fake Reviews Using Multidimensional Representations With Fine-Grained Aspects Plan 2020 ·IEEE Access ·(unknown), Yue Shang, (unknown), Jiyun Zhou	17
8	Multi Task Mutual Learning for Joint Sentiment Classification and Topic Detection 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Lin Gui, (unknown), Jiyun Zhou, Ruifeng Xu, Yulan He	16
9	Cross-Cell-Type Prediction of TF-Binding Site by Integrating Convolutional Neural Network and Adversarial Network 2019 ·International Journal of Molecular Sciences ·(unknown), Jiyun Zhou, Ruifeng Xu, Qin Lu, Hongpeng Wang	14
10	MTTFsite: cross-cell type TF binding site prediction by using multi-task learning 2019 ·Bioinformatics ·Jiyun Zhou, Qin Lu, Lin Gui, Ruifeng Xu, Yunfei Long, Hongpeng Wang	21
11	Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies 2019 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang	13
12	CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway 2018 ·BMC Bioinformatics ·Jiyun Zhou, Hongpeng Wang, (unknown), Ruifeng Xu, Qin Lu	40
13	EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation 2017 ·BMC Bioinformatics ·Jiyun Zhou, Qin Lu, Ruifeng Xu, Yulan He, Hongpeng Wang	26
14	Prediction of DNA-binding residues from sequence information using convolutional neural network 2017 ·International Journal of Data Mining and Bioinformatics ·Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang	2
15	PDNAsite: Identification of DNA-binding Site from Protein Sequence by Incorporating Spatial and Sequence Context 2016 ·Scientific Reports ·Jiyun Zhou, Ruifeng Xu, Yulan He, Qin Lu, Hongpeng Wang, Bing Kong	13
16	CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features 2016 ·Jiyun Zhou, Qin Lu, Ruifeng Xu, Lin Gui, Hongpeng Wang	19
17	Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation 2015 ·BMC Systems Biology ·Ruifeng Xu, Jiyun Zhou, Hongpeng Wang, Yulan He, Xiaolong Wang, Bin Liu	97
18	iDNA-Prot\|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition 2014 ·PLoS ONE ·Bin Liu, Jinghao Xu, Xun Lan, Ruifeng Xu, Jiyun Zhou, Xiaolong Wang, Kuo‐Chen Chou	265
19	PseDNA‐Pro: DNA‐Binding Protein Identification by Combining Chou’s PseAAC and Physicochemical Distance Transformation 2014 ·Molecular Informatics ·Bin Liu, Jinghao Xu, (unknown), Ruifeng Xu, Jiyun Zhou, Xiaolong Wang	153
20	Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach 2014 ·Journal of Biomolecular Structure and Dynamics ·Ruifeng Xu, Jiyun Zhou, Bin Liu, Yulan He, Quan Zou, Xiaolong Wang, Kuo‐Chen Chou	81

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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