Xin Shu

488 total citations
28 papers, 309 citations indexed

About

Xin Shu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xin Shu has authored 28 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xin Shu's work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Tumor Detection and Classification (5 papers). Xin Shu is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Tumor Detection and Classification (5 papers). Xin Shu collaborates with scholars based in China, Singapore and Australia. Xin Shu's co-authors include Lei Zhang, Yi Zhang, Zizhou Wang, Qing Lv, Lituan Wang, Chaoyue Chen, Hongli Deng, Jianguo Xu, Lei Zhang and Yangqin Feng and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Cybernetics and Applied Soft Computing.

In The Last Decade

Xin Shu

26 papers receiving 299 citations

Peers

Countries citing papers authored by Xin Shu

Since Specialization

Citations

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

Fields of papers citing papers by Xin Shu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Shu. A scholar is included among the top collaborators of Xin Shu 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 Xin Shu. Xin Shu 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	3D Design of Cartoon Characters Based on VR Technology 2024 ·Xin Shu, (unknown)	1
2	Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation 2024 ·IEEE Journal of Biomedical and Health Informatics ·Wei Huang, Lei Zhang, Xin Shu, Zizhou Wang, Yi Zhang	0
3	Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification 2023 ·Medical Image Analysis ·Lituan Wang, Lei Zhang, Xin Shu, Yi Zhang	29
4	Automated, fast, robust brain extraction on contrast-enhanced T1-weighted MRI in presence of brain tumors: an optimized model based on multi-center datasets 2023 ·European Radiology ·(unknown), Chaoyue Chen, Xin Shu, (unknown), Lei Zhang, Jianguo Xu	3
5	Preoperative volume of the optic chiasm is an easily obtained predictor for visual recovery of pituitary adenoma patients following endoscopic endonasal transsphenoidal surgery: a cohort study 2023 ·International Journal of Surgery ·Yang Zhang, Chaoyue Chen, (unknown), (unknown), Xin Shu, (unknown), Jianguo Xu, Lei Zhang	5
6	Fine-grained recognition: Multi-granularity labels and category similarity matrix 2023 ·Knowledge-Based Systems ·Xin Shu, Lei Zhang, Zizhou Wang, Lituan Wang, Yi Zhang	7
7	Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation 2023 ·European Radiology ·(unknown), Wenjing Zhang, Xin Shu, (unknown), Lituan Wang, Mengyuan Xu, (unknown), Na Hu, Biqiu Tang, Lei Zhang, Su Lui	4
8	Consistent representation via contrastive learning for skin lesion diagnosis 2023 ·Computer Methods and Programs in Biomedicine ·Zi‐Zhou Wang, Lei Zhang, Xin Shu, Yan Wang, Yangqin Feng	3
9	Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network 2022 ·European Radiology ·Chaoyue Chen, Ting Zhang, (unknown), (unknown), Xin Shu, Lei Zhang, (unknown), Jianguo Xu	10
10	Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation 2022 ·IEEE Transactions on Cognitive and Developmental Systems ·Xin Shu, Lei Zhang, (unknown), Lituan Wang, Zizhou Wang, Wenjing Zhang, Ying Wang, Su Lui	2
11	Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation 2022 ·IEEE Transactions on Artificial Intelligence ·Wei Huang, Xin Shu, Zizhou Wang, Chaoyue Chen, Yang Zhang, Lei Zhang, Jianguo Xu	4
12	Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images 2022 ·Applied Intelligence ·Jiayi Li, Lei Zhang, Xin Shu, (unknown), Jianguo Xu	3
13	A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems 2022 ·IEEE Transactions on Cybernetics ·Zizhou Wang, Xin Shu, Yan Wang, Yangqin Feng, Lei Zhang, Yi Zhang	12
14	Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification 2021 ·IEEE Transactions on Artificial Intelligence ·(unknown), Xin Shu, Lei Zhang, Dong Li, Qing Lv	12
15	Automatic Meningioma Segmentation and Grading Prediction: A Hybrid Deep-Learning Method 2021 ·Journal of Personalized Medicine ·Chaoyue Chen, (unknown), Jianfeng Xu, Ting Zhang, Xin Shu, Wei Huang, Yu Hua, Yang Zhang, (unknown), Lei Zhang, Jianguo Xu	20
16	Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection 2021 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Yan Wang, Lei Zhang, Xin Shu, Yangqin Feng, Yi Zhang, Qing Lv	12
17	A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation 2021 ·Knowledge-Based Systems ·Zizhou Wang, Xin Shu, Chaoyue Chen, (unknown), Lei Zhang, Jianguo Xu	7
18	An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature 2020 ·IEEE Transactions on Cognitive and Developmental Systems ·Zizhou Wang, Lei Zhang, Xin Shu, Qing Lv, Yi Zhang	21
19	Application of 3D tracking and registration in exhibition hall navigation interaction 2020 ·Xin Shu, (unknown), Zhiqiang Liu, (unknown)	2
20	An Improved Fuzzy Support Vector Machine and Its Application to Face Recognition 2005 ·Microcomputer Development ·Xin Shu	1

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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