Jun Xia

6.5k citations

124 papers · 4.0k indexed · 3 hit papers · h-index 25

Impact in

Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
Radiology, Nuclear Medicine and Imaging top 0.5%
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging

Papers in ⓘ

Health Informatics 3
Neurology 21
- Traumatic Brain Injury and Neurovascular Disturbances 10

Co-authors: Guang Yang (12 shared papers)Qinghao Ye (6 shared papers)Junjie Bai (4 shared papers)Kunlin Cao (4 shared papers)Youbing Yin (4 shared papers)Xin Wang (2 shared papers)Zhenghan Fang (2 shared papers)Qizhong Xu (4 shared papers)
Journals: European Radiology (3 papers)Cancer Biomarkers (3 papers)Medical Oncology (3 papers)Frontiers in Neurology (3 papers)Frontiers in Aging Neuroscience (3 papers)
Partner nations: China United Kingdom United States

In The Last Decade

Jun Xia

114 papers receiving 3.9k citations

Hit Papers

align trajectories log scale

Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond 2021 · 457 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 Information Fusion
2020 IEEE Access
2020 Radiology

Peers

Countries citing papers authored by Jun Xia

Since Specialization

Citations

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

Fields of papers citing papers by Jun Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Xia Line = papers co-authored together Jun Xia links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy Radiology ·Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song, Kunlin Cao, Daliang Liu, Guisheng Wang, Qizhong Xu, Xisheng Fang, Shiqin Zhang, Juan Xia, Jun Xia Hit paper breakdown →	2020	1309
2	Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond Information Fusion ·Guang Yang, Qinghao Ye, Jun Xia Hit paper breakdown →	2021	457
3	Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images IEEE Access ·Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Li Lao, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang Hit paper breakdown →	2020	276
4	Upregulated INHBA expression is associated with poor survival in gastric cancer Medical Oncology ·Quan Wang, Yugang Wen, Dapeng Li, Jun Xia, Chongzhi Zhou, Dongwang Yan, Huamei Tang, Zhihai Peng	2010	188
5	Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network European Radiology ·Hai Ye, Feng Gao, Youbing Yin, Danfeng Guo, Pengfei Zhao, Yi Lü, Xin Wang, Junjie Bai, Kunlin Cao, Qi Song, Heye Zhang, Wei Chen, Xuejun Guo, Jun Xia	2019	170
6	A single-center, retrospective study of COVID-19 features in children: a descriptive investigation BMC Medicine ·Huijing Ma, Jiani Hu, Jie Tian, Xi Zhou, Hui Li, Maxwell T. Laws, Luke Wesemann, Baiqi Zhu, Wei Chen, Rafael Ramos, Jun Xia, Jianbo Shao	2020	95
7	IMP3 Is a Novel Prognostic Marker that Correlates with Colon Cancer Progression and Pathogenesis Annals of Surgical Oncology ·Dawei Li, Dongwang Yan, Huamei Tang, Chongzhi Zhou, Junwei Fan, Shuxia Li, Xiaoliang Wang, Jun Xia, Fei Huang, Guoqiang Qiu, Zhihai Peng	2009	94
8	Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study Journal of Magnetic Resonance Imaging ·Qiuyu Wang, Qingneng Li, Rui Mi, Hai Ye, Heye Zhang, Baodong Chen, Ye Li, Guodong Huang, Jun Xia	2018	78
9	Explainable AI for COVID-19 CT Classifiers: An Initial Comparison Study Qinghao Ye, Jun Xia, Guang Yang	2021	67
10	Regulation of EMT by Notch Signaling Pathway in Tumor Progression Current Cancer Drug Targets ·Yumei Li, Jia Ma, Xiujuan Qian, Qiong Wu, Jun Xia, Lucio Miele, Fazlul H. Sarkar, Zhiwei Wang	2013	67
11	Ubiquitin D is correlated with colon cancer progression and predicts recurrence for stage II-III disease after curative surgery British Journal of Cancer ·D-W Yan, D.W. Li, Yu‐Xiao Yang, Jun Xia, Xun‐Li Wang, C.Z. Zhou, J-W Fan, Y-G Wen, H-C Sun, Qi Wang, Guangyu Qiu, H-M Tang, Z-H Peng	2010	55
12	miR-203 expression predicts outcome after liver transplantation for hepatocellular carcinoma in cirrhotic liver Medical Oncology ·Hong‐Yuan Chen, Zhongbo Han, Junwei Fan, Jun Xia, Junyi Wu, Guoqiang Qiu, Huamei Tang, Zhihai Peng	2011	49
13	Gemcitabine Resistance is Associated with Epithelial-Mesenchymal Transition and Induction of HIF-1α in Pancreatic Cancer Cells Current Cancer Drug Targets ·Rui Wang, Long Cheng, Jun Xia, Zishu Wang, Qiong Wu, Zhiwei Wang	2014	47
14	Glioma Segmentation Using a Novel Unified Algorithm in Multimodal MRI Images IEEE Access ·Qingneng Li, Zhifan Gao, Qiuyu Wang, Jun Xia, Heye Zhang, Huailing Zhang, Huafeng Liu, Shuo Li	2018	42
15	Metabonomics screening of serum identifies pyroglutamate as a diagnostic biomarker for nonalcoholic steatohepatitis Clinica Chimica Acta ·Suwen Qi, Depeng Xu, Qiaoliang Li, Ni Xie, Jun Xia, Qin Huo, Pu Li, Qiwen Chen, Si Huang	2017	40
16	A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health IEEE Internet of Things Journal ·Dong Zhang, Xiujian Liu, Jun Xia, Zhifan Gao, Heye Zhang, Victor Hugo C. de Albuquerque	2023	40
17	Obesity induces preadipocyte CD36 expression promoting inflammation via the disruption of lysosomal calcium homeostasis and lysosome function EBioMedicine ·Xiaoxiao Luo, Yanping Li, Ping Yang, Yao Chen, Wei Li, Ting Yu, Jun Xia, Xiong Z. Ruan, Lei Zhao, (unknown), (unknown)	2020	34
18	Robust weakly supervised learning for COVID-19 recognition using multi-center CT images Applied Soft Computing ·Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang	2021	32
19	Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels Neurocomputing ·Baochang Zhang, Shuting Liu, Shoujun Zhou, Jian Yang, Cheng Wang, Na Li, Zonghan Wu, Jun Xia	2019	30
20	Volumetric MRI analysis of the amygdala and hippocampus in subjects with major depression Current Medical Science ·Jun Xia, Jun Chen, Yicheng Zhou, Jingfeng Zhang, Yang Bo, (unknown), Chengyuan Wang	2004	29

About Jun Xia

Jun Xia is a scholar working on Health Informatics, Neurology, Radiology, Nuclear Medicine and Imaging, Hematology and Cellular and Molecular Neuroscience, having authored 124 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (16 papers), Fetal and Pediatric Neurological Disorders (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Multiple Myeloma Research and Treatments (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers), COVID-19 diagnosis using AI (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Health Informatics (526 citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Artificial Intelligence (1.2k citations), Neurology (261 citations) and Health Information Management (145 citations). Jun Xia has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Guang Yang, Qinghao Ye, Junjie Bai, Kunlin Cao, Youbing Yin, Xin Wang, Zhenghan Fang, Qizhong Xu, Bin Kong and Juan Xia. Their work appears in journals such as European Radiology, Cancer Biomarkers, Medical Oncology, Frontiers in Neurology and Frontiers in Aging Neuroscience.

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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