Xiuquan Du

1.8k total citations
54 papers, 1.1k citations indexed

About

Xiuquan Du is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiuquan Du has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Computer Vision and Pattern Recognition and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiuquan Du's work include Machine Learning in Bioinformatics (17 papers), RNA and protein synthesis mechanisms (13 papers) and Advanced Neural Network Applications (11 papers). Xiuquan Du is often cited by papers focused on Machine Learning in Bioinformatics (17 papers), RNA and protein synthesis mechanisms (13 papers) and Advanced Neural Network Applications (11 papers). Xiuquan Du collaborates with scholars based in China, Canada and United States. Xiuquan Du's co-authors include Yanping Zhang, Shuo Li, Yu Yao, Yuanting Yan, Shiwei Sun, Chang-Lin Hu, Heye Zhang, Heng Liu, Chenchu Xu and Zhifan Gao and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Xiuquan Du

51 papers receiving 1.1k citations

Peers

Countries citing papers authored by Xiuquan Du

Since Specialization

Citations

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

Fields of papers citing papers by Xiuquan Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuquan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuquan Du. A scholar is included among the top collaborators of Xiuquan Du 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 Xiuquan Du. Xiuquan Du 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	Interactive prototype learning and self-learning for few-shot medical image segmentation 2025 ·Artificial Intelligence in Medicine ·(unknown), Chenchu Xu, Boyan Wang, Xiuquan Du, Jie Chen, Yanping Zhang, Shuo Li	0
2	UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling 2024 ·Medical Image Analysis ·Xiuquan Du, Xuebin Xu, (unknown), (unknown), (unknown), Heng Liu, Shuo Li	6
3	ASCRB: Multi-view based attentional feature selection for CircRNA-binding site prediction 2023 ·Computers in Biology and Medicine ·(unknown), (unknown), Xiuquan Du	7
4	Multimodal adversarial representation learning for breast cancer prognosis prediction 2023 ·Computers in Biology and Medicine ·Xiuquan Du, (unknown)	10
5	TSRL-Net: Target-aware supervision residual learning for stroke segmentation 2023 ·Computers in Biology and Medicine ·Lei Li, (unknown), (unknown), Xiuquan Du	3
6	DFpin: Deep learning–based protein-binding site prediction with feature-based non-redundancy from RNA level 2022 ·Computers in Biology and Medicine ·Xiujuan Zhao, Yanping Zhang, Xiuquan Du	12
7	Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images 2022 ·Computerized Medical Imaging and Graphics ·(unknown), Xiuquan Du, Yanping Zhang, Shuo Li	7
8	JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction 2022 ·Journal of Biomedical Informatics ·Xiuquan Du, (unknown)	9
9	Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning 2021 ·PeerJ ·Guobin Li, Xiuquan Du, Xinlu Li, Le Zou, (unknown), Zhize Wu	30
10	Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention 2020 ·Future Generation Computer Systems ·Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David Firmin, Jennifer Keegan	69
11	Segmentation and visualization of left atrium through a unified deep learning framework 2020 ·International Journal of Computer Assisted Radiology and Surgery ·Xiuquan Du, (unknown), (unknown), (unknown), (unknown), Yanping Zhang, (unknown), Shuo Li	8
12	An integrated deep learning framework for joint segmentation of blood pool and myocardium 2020 ·Medical Image Analysis ·Xiuquan Du, (unknown), (unknown), Yanping Zhang, Heng Liu, Bo Chen, Shuo Li	17
13	A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification 2019 ·IEEE Access ·Yuanting Yan, Ruiqing Liu, (unknown), Xiuquan Du, Jie Chen, Yanping Zhang	54
14	An integration of deep learning with feature embedding for protein–protein interaction prediction 2019 ·PeerJ ·Yu Yao, Xiuquan Du, (unknown), (unknown)	74
15	DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters 2019 ·Computer Methods and Programs in Biomedicine ·Ruifeng Chen, Chenchu Xu, (unknown), (unknown), Xiuquan Du	8
16	Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network 2019 ·IEEE Journal of Translational Engineering in Health and Medicine ·Xiuquan Du, (unknown), (unknown), Yanping Zhang, Shuo Li	35
17	Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture 2018 ·Medical Image Analysis ·Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Huafeng Liu, Shuo Li	93
18	Correlated Regression Feature Learning for Automated Right Ventricle Segmentation 2018 ·IEEE Journal of Translational Engineering in Health and Medicine ·(unknown), Heye Zhang, Weiwei Zhang, Xiuquan Du, Yanping Zhang, Shuo Li	24
19	Beat-to-Beat Blood Pressure and Two-dimensional (axial and radial) Motion of the Carotid Artery Wall: Physiological Evaluation of Arterial Stiffness 2017 ·Scientific Reports ·Chenchu Xu, Huahua Xiong, Zhifan Gao, Xin Liu, Heye Zhang, Yanping Zhang, Xiuquan Du, Wanqing Wu, Guotao Liu, Shuo Li	17
20	A novel feature extraction scheme for prediction of protein–protein interaction sites 2014 ·Molecular BioSystems ·Xiuquan Du, (unknown), (unknown)	3

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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