Xiaopan Xu

1.2k total citations
30 papers, 832 citations indexed

About

Xiaopan Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaopan Xu has authored 30 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaopan Xu's work include Radiomics and Machine Learning in Medical Imaging (21 papers), Bladder and Urothelial Cancer Treatments (14 papers) and Urinary and Genital Oncology Studies (8 papers). Xiaopan Xu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), Bladder and Urothelial Cancer Treatments (14 papers) and Urinary and Genital Oncology Studies (8 papers). Xiaopan Xu collaborates with scholars based in China, United States and Canada. Xiaopan Xu's co-authors include Hongbing Lu, Xi Zhang, Yang Liu, Qiang Tian, Baojuan Li, Yuxia Wu, Zhengrong Liang, Zengyue Yang, Huanjun Wang and Yang Liu and has published in prestigious journals such as American Journal of Neuroradiology, Radiotherapy and Oncology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Xiaopan Xu

28 papers receiving 824 citations

Peers

Countries citing papers authored by Xiaopan Xu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaopan Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopan Xu. A scholar is included among the top collaborators of Xiaopan Xu 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 Xiaopan Xu. Xiaopan Xu 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	A Semi-Supervised Multi-Region Segmentation Framework of Bladder Wall and Tumor with Wall-Enhanced Self-Supervised Pre-Training 2024 ·Bioengineering ·Jie Wei, (unknown), Dong Huang, Yang Liu, Xiaopan Xu, Hongbing Lu	0
2	Multiparametric MRI‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer 2024 ·Journal of Magnetic Resonance Imaging ·(unknown), (unknown), Joshua Kaggie, (unknown), Peng Yang, Jie Wei, Lijuan Wang, Yan Guo, Hongbing Lu, Huanjun Wang, Xiaopan Xu	4
3	Radiomics-based T-staging of hollow organ cancers 2023 ·Frontiers in Oncology ·Dong Huang, Xiaopan Xu, Peng Du, (unknown), Xi Zhang, Hongbing Lu, Yang Liu	1
4	Multiparametric MRI-based VI-RADS: can it predict 1- to 5-year recurrence of bladder cancer? 2023 ·European Radiology ·Xiaopan Xu, (unknown), Yang Liu, (unknown), Yan Guo, Huanjun Wang, Hongbing Lu	6
5	Content and shape attention network for bladder wall and cancer segmentation in MRIs 2022 ·Computers in Biology and Medicine ·(unknown), Dong Huang, Xiaopan Xu, (unknown), (unknown), Hongbing Lu, Yang Liu	8
6	The Additional Value of Tri-parametric MRI in Identifying Muscle-invasive Status in Bladder Cancer 2022 ·Academic Radiology ·(unknown), Xiaopan Xu, Huanjun Wang, Yang Liu, Yang Wang, (unknown), Ziqi Li, Yan Guo, Hongbing Lu	15
7	Intratumoral and peritumoral CT-based radiomics strategy reveals distinct subtypes of non-small-cell lung cancer 2022 ·Journal of Cancer Research and Clinical Oncology ·Xing Tang, (unknown), Peng Du, Lijuan Wang, Hong Yin, Xiaopan Xu	26
8	Elaboration of a Radiomics Strategy for the Prediction of the Re-positive Cases in the Discharged Patients With COVID-19 2021 ·Frontiers in Medicine ·(unknown), Xiaopan Xu, (unknown), Jun Duan, Xiaoli Han, Xing Tang, Yu‐Fei Fu, (unknown), Xue Wang, (unknown), Wenbing Zeng, (unknown)	1
9	Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer 2021 ·Frontiers in Oncology ·Xiaopan Xu, Huanjun Wang, Yan Guo, Xi Zhang, Baojuan Li, Peng Du, Yang Liu, Hongbing Lu	16
10	Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study 2020 ·European Radiology ·Huanjun Wang, Xiaopan Xu, Xi Zhang, Yang Liu, (unknown), Peng Du, Shurong Li, Qiang Tian, (unknown), Yan Guo, Hongbing Lu	58
11	The invasion depth measurement of bladder cancer using T2-weighted magnetic resonance imaging 2020 ·BioMedical Engineering OnLine ·Yang Liu, Haojie Zheng, Xiaopan Xu, Xi Zhang, Peng Du, Jimin Liang, Hongbing Lu	8
12	Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer 2020 ·BioMedical Engineering OnLine ·Xing Tang, Xiaopan Xu, (unknown), (unknown), Hong Wang, Yang Liu, Peng Du, Zhengrong Liang, Jian Zhang, Hongbing Lu, Hong Yin	30
13	Evaluation of deep learning‐based auto‐segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients 2020 ·Journal of Applied Clinical Medical Physics ·Zhi Wang, (unknown), Zhao Peng, (unknown), (unknown), Fan Wang, Xi Pei, Xiaopan Xu	39
14	Survival-relevant high-risk subregion identification for glioblastoma patients: the MRI-based multiple instance learning approach 2020 ·European Radiology ·Xi Zhang, Di Lu, Peng Gao, Qiang Tian, Hongbing Lu, Xiaopan Xu, Xiaowei He, Yang Liu	22
15	Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach 2020 ·Frontiers in Neuroscience ·(unknown), Xiaopan Xu, (unknown), Kaizhong Zheng, Jian Liu, Jianming Li, Wei Lei, Binjie Zhang, Hongbing Lu, Baojuan Li	52
16	A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival 2019 ·European Radiology ·Xi Zhang, Hongbing Lu, Qiang Tian, Na Feng, (unknown), Xiaopan Xu, Peng Du, Yang Liu	55
17	A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors 2019 ·Journal of Magnetic Resonance Imaging ·Xiaopan Xu, Huanjun Wang, Peng Du, Fan Zhang, Shurong Li, Zhongwei Zhang, Jing Yuan, Zhengrong Liang, Xi Zhang, Yan Guo, Liu Yang, Hongbing Lu	61
18	The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis 2018 ·Acta Radiologica ·Yang Liu, Xi Zhang, Na Feng, (unknown), Yalong He, Xiaopan Xu, Hongbing Lu	26
19	Relationship between Glioblastoma Heterogeneity and Survival Time: An MR Imaging Texture Analysis 2017 ·American Journal of Neuroradiology ·Yang Liu, Xiaopan Xu, (unknown), Xi Zhang, Lihong Li, Hongbing Lu	72
20	Preoperative prediction of muscular invasiveness of bladder cancer with radiomic features on conventional MRI and its high-order derivative maps 2017 ·Abdominal Radiology ·Xiaopan Xu, Yang Liu, Xi Zhang, Qiang Tian, Yuxia Wu, Guopeng Zhang, Meng Jiang, Zengyue Yang, Hongbing Lu	55

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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