Qingxia Wu

2.0k total citations
42 papers, 1.1k citations indexed

About

Qingxia Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Biomedical Engineering. According to data from OpenAlex, Qingxia Wu has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Obstetrics and Gynecology and 8 papers in Biomedical Engineering. Recurrent topics in Qingxia Wu's work include Radiomics and Machine Learning in Medical Imaging (21 papers), MRI in cancer diagnosis (11 papers) and Endometrial and Cervical Cancer Treatments (10 papers). Qingxia Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), MRI in cancer diagnosis (11 papers) and Endometrial and Cervical Cancer Treatments (10 papers). Qingxia Wu collaborates with scholars based in China, United States and India. Qingxia Wu's co-authors include Meiyun Wang, Shuo Wang, Yunfei Zha, Jie Tian, Xiaoming Qiu, Meiyun Wang, Yongbei Zhu, Liusu Wang, Yan Bai and Yu He and has published in prestigious journals such as Scientific Reports, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Qingxia Wu

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingxia Wu China 15 709 218 191 174 163 42 1.1k
Xiran Jiang China 19 558 0.8× 128 0.6× 81 0.4× 373 2.1× 114 0.7× 61 986
Thi My Linh Tran United States 7 661 0.9× 145 0.7× 24 0.1× 88 0.5× 262 1.6× 11 1.2k
Miri Sklair‐Levy Israel 19 570 0.8× 230 1.1× 193 1.0× 232 1.3× 38 0.2× 67 1.4k
Daniele La Forgia Italy 24 760 1.1× 597 2.7× 48 0.3× 157 0.9× 87 0.5× 70 1.3k
Takahiro Tsuboyama Japan 17 676 1.0× 132 0.6× 86 0.5× 212 1.2× 35 0.2× 84 1.3k
Ho Yuen Frank Wong China 5 730 1.0× 166 0.8× 24 0.1× 61 0.4× 311 1.9× 9 1.5k
B Bloch United States 25 1.1k 1.6× 256 1.2× 106 0.6× 252 1.4× 99 0.6× 91 2.0k
Marco Calandri Italy 16 375 0.5× 118 0.5× 17 0.1× 73 0.4× 40 0.2× 52 892
Bingxi He China 15 672 0.9× 234 1.1× 19 0.1× 94 0.5× 51 0.3× 27 854

Countries citing papers authored by Qingxia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingxia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingxia Wu. A scholar is included among the top collaborators of Qingxia Wu 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 Qingxia Wu. Qingxia Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gào, Xīn, Qingxia Wu, Jianwei Yang, et al.. (2025). Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP. BMC Cancer. 25(1). 128–128. 1 indexed citations
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Wu, Qingxia, Yan Wang, Yan Bai, et al.. (2024). Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study. JMIR Medical Informatics. 12. e55799–e55799. 10 indexed citations
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Wu, Qingxia, et al.. (2024). Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. BMC Medical Imaging. 24(1). 28–28. 13 indexed citations
7.
Liu, Huanhuan, Lijuan Chen, Yan Bai, et al.. (2023). Multifunctional nanomedicines-enabled chemodynamic-synergized multimodal tumor therapy via Fenton and Fenton-like reactions. Theranostics. 13(6). 1974–2014. 78 indexed citations
8.
Qu, Biao, et al.. (2023). Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. Computers in Biology and Medicine. 168. 107707–107707. 6 indexed citations
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Li, Zhe, Shuo Wang, Yu He, et al.. (2022). A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(2). 330–341. 20 indexed citations
12.
Zhang, Yuehua, Meifang Xiao, Yong Wei, et al.. (2021). Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant. Health Information Science and Systems. 9(1). 6–6. 6 indexed citations
13.
Wang, Meiyun, Fangfang Fu, Bingjie Zheng, et al.. (2021). Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data. British Journal of Cancer. 125(8). 1111–1121. 40 indexed citations
14.
Wang, Shuo, Yunfei Zha, Weimin Li, et al.. (2020). A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis. European Respiratory Journal. 56(2). 2000775–2000775. 339 indexed citations
15.
Wu, Qingxia, Shuo Wang, Liang Li, et al.. (2020). Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19. Theranostics. 10(16). 7231–7244. 73 indexed citations
16.
Wang, Yan, et al.. (2019). An acid-responsive all-in-one signal amplification strategy for the ultrasensitive prostate-specific antigen detection. New Journal of Chemistry. 43(40). 15910–15914. 4 indexed citations
17.
Wu, Qingxia, Kuan Yao, Zhenyu Liu, et al.. (2019). Radiomics analysis of placenta on T2WI facilitates prediction of postpartum haemorrhage: A multicentre study. EBioMedicine. 50. 355–365. 48 indexed citations
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Wu, Qingxia, Shuo Wang, Yan Wang, et al.. (2019). Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer. Radiotherapy and Oncology. 138. 141–148. 85 indexed citations
19.
Xu, Songhui, Song Zhu, Yanjie Wang, et al.. (2018). ECD promotes gastric cancer metastasis by blocking E3 ligase ZFP91-mediated hnRNP F ubiquitination and degradation. Cell Death and Disease. 9(5). 479–479. 26 indexed citations
20.
Wen, Qirong, Yan Liu, Qingxia Wu, et al.. (2017). Long Noncoding RNA GAS5, Which Acts as a Tumor Suppressor via microRNA 21, Regulates Cisplatin Resistance Expression in Cervical Cancer. International Journal of Gynecological Cancer. 27(6). 1096–1108. 104 indexed citations

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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