Xiaohua Qian

2.4k total citations
82 papers, 1.7k citations indexed

About

Xiaohua Qian is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaohua Qian has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaohua Qian's work include Radiomics and Machine Learning in Medical Imaging (22 papers), AI in cancer detection (15 papers) and Pancreatic and Hepatic Oncology Research (14 papers). Xiaohua Qian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), AI in cancer detection (15 papers) and Pancreatic and Hepatic Oncology Research (14 papers). Xiaohua Qian collaborates with scholars based in China, United States and United Kingdom. Xiaohua Qian's co-authors include Vicki L. Rothman, George P. Tuszynski, Thomas J. Wang, Chencheng Zhang, Rui Guo, Xiaozhu Lin, Roberto F. Nicosia, Jun Li, Hua Tan and Xueyan Li and has published in prestigious journals such as Nature Communications, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Xiaohua Qian

77 papers receiving 1.6k citations

Peers

Countries citing papers authored by Xiaohua Qian

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohua Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Qian. A scholar is included among the top collaborators of Xiaohua Qian 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 Xiaohua Qian. Xiaohua Qian 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	Causality-driven candidate identification for reliable DNA methylation biomarker discovery 2025 ·Nature Communications ·(unknown), Rui Guo, (unknown), Wenli Fu, Xiaohua Qian	2
2	A causality-inspired generalized model for automated pancreatic cancer diagnosis 2024 ·Medical Image Analysis ·(unknown), Xiang Xiao, Xunbin Wei, Xiaohua Qian	6
3	A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians 2024 ·Medical Image Analysis ·(unknown), Rui Guo, Chencheng Zhang, Xiaohua Qian	3
4	Graph Convolutional Network for AD and MCI Diagnosis Utilizing Peripheral DNA Methylation: Réseau de neurones en graphes pour le diagnostic de la MA et du TCL à l’aide de la méthylation de l’ADN périphérique 2024 ·The Canadian Journal of Psychiatry ·(unknown), (unknown), Ruinan Shen, (unknown), Jianqing Ding, Xiaohua Qian, Chencheng Zhang	0
5	Causality-Enhanced Multiple Instance Learning With Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment 2024 ·IEEE Transactions on Image Processing ·Rui Guo, Zheng Xie, Chencheng Zhang, Xiaohua Qian	3
6	A Causality-Informed Graph Convolutional Network for Video Assessment of Parkinsonian Leg Agility 2024 ·IEEE Transactions on Circuits and Systems for Video Technology ·Rui Guo, Linbin Wang, Chencheng Zhang, Lian Gu, Dianyou Li, Xiaohua Qian	1
7	Radiogenomics-Based Risk Prediction of Glioblastoma Multiforme with Clinical Relevance 2024 ·Genes ·Xiaohua Qian, Hua Tan, (unknown), Weiling Zhao, Michael D. Chan, Pora Kim, Xiaobo Zhou	3
8	Rapid Prototyping of Thermoplastic Microfluidic 3D Cell Culture Devices by Creating Regional Hydrophilicity Discrepancy 2023 ·Advanced Science ·Haiqing Bai, (unknown), (unknown), T. Marshall, (unknown), (unknown), (unknown), (unknown), (unknown), Longlong Si, Sushila Maharjan, Di Huang, Xiaohua Qian, Carol Livermore, Yu Shrike Zhang, Xin Xie	4
9	A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer 2023 ·Medical Image Analysis ·(unknown), Weishen Wang, Yu Jiang, Xiaohua Qian	12
10	A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements 2022 ·Medical Image Analysis ·Rui Guo, Hao Li, Chencheng Zhang, Xiaohua Qian	15
11	Differential diagnosis of pancreatic cystic neoplasms through a radiomics-assisted system 2022 ·Frontiers in Oncology ·Zhenglin Dong, (unknown), (unknown), (unknown), Min He, Tao Chen, Zijie Zhang, Xiaohua Qian, Wei Chen	5
12	Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation 2021 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), Jun Li, Yu‐Dong Zhang, Xiaozhu Lin, Xiaohua Qian	25
13	Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer 2020 ·IEEE Transactions on Medical Imaging ·(unknown), Xiaozhu Lin, Qing Shen, Xiaohua Qian	32
14	miR-485-5p improves the progression of ovarian cancer by targeting SRC in vitro and in vivo 2020 ·Neoplasma ·Yan Yang, (unknown), Xiaohua Qian, (unknown), (unknown), Xiaomeng Xu	11
15	Pan-cancer analysis on microRNA-associated gene activation 2019 ·EBioMedicine ·Hua Tan, Shan Huang, Zhigang Zhang, Xiaohua Qian, Peiqing Sun, Xiaobo Zhou	57
16	Stratification of pseudoprogression and true progression of glioblastoma multiform based on longitudinal diffusion tensor imaging without segmentation 2016 ·Medical Physics ·Xiaohua Qian, Hua Tan, Jian Zhang, Weilin Zhao, Michael D. Chan, Xiaobo Zhou	27
17	Objective classification system for sagittal craniosynostosis based on suture segmentation 2015 ·Medical Physics ·Xiaohua Qian, Hua Tan, Jian Zhang, Xiahai Zhuang, (unknown), (unknown), Allison Thompson, Weiling Zhao, King C. Li, Lisa R. David, Xiaobo Zhou	13
18	Molecular epidemiology of measles virus infection in Shanghai in 2000–2012: the first appearance of genotype D8 2014 ·The Brazilian Journal of Infectious Diseases ·Shuhua Li, Xiaohua Qian, Zhengan Yuan, Xiaodong Sun, Chongshan Li, Xian Tang, (unknown), (unknown), Guangwen Cao	6
19	Association of interleukin-4 genetic polymorphisms with sporadic Alzheimer's disease in Chinese Han population 2014 ·Neuroscience Letters ·Wei Li, Xiaohua Qian, (unknown), Ying Ding, Li Zhang	15
20	An active contour model for medical image segmentation with application to brain CT image 2013 ·Medical Physics ·Xiaohua Qian, Jiahui Wang, (unknown), Qiang Li	45

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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