Shusen Zhou

811 total citations
35 papers, 546 citations indexed

About

Shusen Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Shusen Zhou has authored 35 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Shusen Zhou's work include Generative Adversarial Networks and Image Synthesis (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Text and Document Classification Technologies (5 papers). Shusen Zhou is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Text and Document Classification Technologies (5 papers). Shusen Zhou collaborates with scholars based in China, Hong Kong and Canada. Shusen Zhou's co-authors include Qingcai Chen, Xiaolong Wang, Yan Liu, Chanjuan Liu, Tong Liu, Qingjun Wang, Xiaoling Li, Qian Shen, Tongtong Chen and Minghui Li and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shusen Zhou

33 papers receiving 521 citations

Peers

Countries citing papers authored by Shusen Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Shusen Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shusen Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Shusen Zhou. A scholar is included among the top collaborators of Shusen 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 Shusen Zhou. Shusen 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	Parallel Convolutional Contrastive Learning Method for Enzyme Function Prediction 2024 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), Shusen Zhou, (unknown), Qingjun Wang, (unknown), Tong Liu	0
2	TSVM: Transfer Support Vector Machine for Predicting MPRA Validated Regulatory Variants 2024 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), Shusen Zhou, Tong Liu, (unknown), (unknown), Qingjun Wang	2
3	Multimodality Data Augmentation Network for Arrhythmia Classification 2024 ·International Journal of Intelligent Systems ·(unknown), (unknown), Tong Liu, (unknown), Shusen Zhou, (unknown), Qingjun Wang	4
4	Multiple instance learning method based on convolutional neural network and self-attention for early cancer detection 2024 ·Computer Methods in Biomechanics & Biomedical Engineering ·Junjiang Liu, Shusen Zhou, (unknown), (unknown), Tong Liu, Qingjun Wang	0
5	Multi-modality Multi-attention Network for Ventricular Arrhythmia Classification 2023 ·(unknown), (unknown), Tong Liu, Shusen Zhou, (unknown), Qingjun Wang	1
6	CRMSNet : A deep learning model that uses convolution and residual multi‐head self‐attention block to predict RBPs for RNA sequence 2023 ·Proteins Structure Function and Bioinformatics ·(unknown), Shusen Zhou, (unknown), Chanjuan Liu, (unknown), Tong Liu, Qingjun Wang	5
7	SRTNet: Scanning, Reading, and Thinking Network for myocardial infarction detection and localization 2023 ·Expert Systems with Applications ·Kaige Liu, Tong Liu, Dunwei Wen, (unknown), Shusen Zhou, Chanjuan Liu	8
8	MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction 2022 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), Shusen Zhou, (unknown), Chanjuan Liu, (unknown), Tong Liu, Qingjun Wang	7
9	Combining Deep Neural Networks for Protein Secondary Structure Prediction 2020 ·IEEE Access ·Shusen Zhou, (unknown), (unknown), (unknown), Tong Liu	7
10	A multi-instance multi-label scene classification method based on multi-kernel fusion 2015 ·Tongtong Chen, (unknown), (unknown), Shusen Zhou, (unknown), (unknown)	6
11	Hybrid Deep Belief Networks for Semi-supervised Sentiment Classification 2014 ·International Conference on Computational Linguistics ·Shusen Zhou, Qingcai Chen, Xiaolong Wang, Xiaoling Li	12
12	Active Semi-Supervised Learning Method with Hybrid Deep Belief Networks 2014 ·PLoS ONE ·Shusen Zhou, Qingcai Chen, Xiaolong Wang	10
13	Convolutional Deep Networks for Visual Data Classification 2012 ·Neural Processing Letters ·Shusen Zhou, Qingcai Chen, Xiaolong Wang	18
14	Deep belief networks for automatic music genre classification 2011 ·(unknown), (unknown), Shusen Zhou, Xiaolong Wang	9
15	An Empirical Evaluation on HIT-OR3C Database 2011 ·Shusen Zhou, Qingcai Chen, Xiaolong Wang, Xinyi Guo, Hui Li	2
16	Sentiment classification via l2-norm deep belief network 2011 ·Tao Liu, Minghui Li, Shusen Zhou, Xiaoyong Du	7
17	Active Deep Networks for Semi-Supervised Sentiment Classification 2010 ·International Conference on Computational Linguistics ·Shusen Zhou, Qingcai Chen, Xiaolong Wang	55
18	Discriminative Deep Belief Networks for image classification 2010 ·Shusen Zhou, Qingcai Chen, Xiaolong Wang	24
19	Deep adaptive networks for image classification 2010 ·Shusen Zhou, Qingcai Chen, Xiaolong Wang	1
20	A corpus-based concatenative Mandarin singing voice synthesis system 2008 ·Shusen Zhou, Qingcai Chen, Dandan Wang, (unknown)	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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