Mingxiang Wu

576 total citations
33 papers, 386 citations indexed

About

Mingxiang Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mingxiang Wu has authored 33 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mingxiang Wu's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers) and MRI in cancer diagnosis (3 papers). Mingxiang Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers) and MRI in cancer diagnosis (3 papers). Mingxiang Wu collaborates with scholars based in China, Hong Kong and Netherlands. Mingxiang Wu's co-authors include Jie Ma, Xi Su, Yan Luo, Jingshan Gong, Guangsuo Wang, Hao Chen, Zhiqiang Chen, Huangjing Lin, Liansheng Wang and Chengwei Liu and has published in prestigious journals such as Nature Communications, Journal of Environmental Management and IEEE Transactions on Medical Imaging.

In The Last Decade

Mingxiang Wu

27 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxiang Wu China 12 216 104 89 47 43 33 386
Serena Carriero Italy 11 181 0.8× 44 0.4× 98 1.1× 62 1.3× 47 1.1× 51 392
Eduardo Kaiser Ururahy Nunes Fonseca Brazil 11 124 0.6× 43 0.4× 77 0.9× 107 2.3× 14 0.3× 84 515
Changli Li China 8 201 0.9× 72 0.7× 43 0.5× 22 0.5× 29 0.7× 11 394
Qing Xu China 15 331 1.5× 59 0.6× 252 2.8× 73 1.6× 40 0.9× 42 711
Nicolò Gennaro Italy 13 231 1.1× 24 0.2× 212 2.4× 25 0.5× 75 1.7× 42 557
Felix G. Gassert Germany 12 234 1.1× 43 0.4× 93 1.0× 12 0.3× 129 3.0× 38 406
Francesca Galati Italy 12 317 1.5× 35 0.3× 170 1.9× 21 0.4× 34 0.8× 35 629
Tsung‐Lung Yang Taiwan 13 154 0.7× 109 1.0× 185 2.1× 7 0.1× 45 1.0× 38 450
Yong Sub Song South Korea 13 440 2.0× 33 0.3× 295 3.3× 42 0.9× 38 0.9× 19 627
Mario Jreige Switzerland 13 266 1.2× 30 0.3× 147 1.7× 8 0.2× 55 1.3× 41 485

Countries citing papers authored by Mingxiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mingxiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxiang Wu. A scholar is included among the top collaborators of Mingxiang 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 Mingxiang Wu. Mingxiang 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.
Wu, Linshan, Yanning Zhou, Luyang Luo, et al.. (2025). Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition. Nature Communications. 16(1). 11053–11053.
2.
Wu, Mingxiang, et al.. (2025). Deep learning-based classification of traditional Chinese medicine: a novel approach. Quantitative Imaging in Medicine and Surgery. 15(8). 7483–7496.
3.
Luo, Luyang, et al.. (2025). Learning robust medical image segmentation from multi-source annotations. Medical Image Analysis. 101. 103489–103489. 2 indexed citations
4.
Wu, Mingxiang, et al.. (2024). Efficient Synthesis of All-silica DDR Zeolite. Microporous and Mesoporous Materials. 377. 113224–113224.
5.
Yu, Yanzhong, et al.. (2023). Generation of 3D quasi-spherical multi-focus arrays and optical rings using orthogonally superimposed dipole antenna arrays. Journal of Optics. 25(10). 105701–105701. 1 indexed citations
6.
Luo, Luyang, Hao Chen, Yanning Zhou, et al.. (2022). Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study. Radiology Artificial Intelligence. 4(5). e210299–e210299. 18 indexed citations
7.
Wu, Mingxiang, et al.. (2021). Development and Evaluation of a Deep Learning Algorithm for Rib Segmentation and Fracture Detection from Multicenter Chest CT Images. Radiology Artificial Intelligence. 3(5). e200248–e200248. 32 indexed citations
8.
Luo, Yan, et al.. (2020). CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma. European Radiology. 30(7). 4050–4057. 59 indexed citations
9.
Li, Yi, Tong Liu, Gary Tse, et al.. (2020). Electrocardiograhic characteristics in patients with coronavirus infection: A single‐center observational study. Annals of Noninvasive Electrocardiology. 25(6). e12805–e12805. 30 indexed citations
10.
Fan, Qingkun, Jia Du, Li Ling, et al.. (2019). Predictive value of HIT-antibodies detection for new thrombosis in heparin-induced thrombocytopenia. Zhonghua jianyan yixue zazhi. 42(4). 250–254.
11.
Huang, Duo, Chun‐Ka Wong, Mingliang Zuo, et al.. (2019). Risk of venous thromboembolism in Chinese pregnant women: Hong Kong venous thromboembolism study. Blood Research. 54(3). 175–180. 14 indexed citations
12.
13.
Huang, Weiping, Xuan Zheng, Lei He, et al.. (2018). Role of Soluble ST2 Levels and Beta-Blockers Dosage on Cardiovascular Events of Patients with Unselected ST-Segment Elevation Myocardial Infarction. Chinese Medical Journal. 131(11). 1282–1288. 12 indexed citations
14.
Wu, Yinghua, Niels Oesingmann, Qi Gan, et al.. (2017). Arterial spin labelling MRI for detecting pseudocapsule defects and predicting renal capsule invasion in renal cell carcinoma. Clinical Radiology. 72(11). 936–943. 7 indexed citations
15.
Wu, Mingxiang & Jie Ma. (2016). Association Between Imaging Characteristics and Different Molecular Subtypes of Breast Cancer. Academic Radiology. 24(4). 426–434. 40 indexed citations
16.
Zhang, Zhiping, Xi Su, Cheng‐Wei Liu, et al.. (2015). Heart block or cardiac arrest is not a contraindication for intravenous treatment with diltiazem in the setting of coronary spasm. The American Journal of Emergency Medicine. 33(11). 1718.e5–1718.e8. 2 indexed citations
17.
Zhang, Zhiping, Xi Su, Cheng‐Wei Liu, et al.. (2015). Use of intra-aortic balloon pump support for oozing-type cardiac rupture after acute myocardial infarction. The American Journal of Emergency Medicine. 34(1). 120.e1–120.e3.
18.
Zhang, Zhiping, Xi Su, Chengwei Liu, et al.. (2015). Thrombolysis during continuous chest compression in a patient with cardiac arrest due to pulmonary embolism: prolonged CPR–induced spinal cord injury. The American Journal of Emergency Medicine. 34(3). 681.e3–681.e5. 1 indexed citations
19.
Zhang, Zhiping, Xi Su, Hua Yan, et al.. (2014). Reversal of electrical storm after intraaortic balloon pump counterpulsation in a patient with acute myocardial infarction. The American Journal of Emergency Medicine. 33(5). 734.e1–734.e3. 1 indexed citations
20.
Zhang, Zhiping, et al.. (2014). Cardiac arrest with coronary artery spasm: does the use of epinephrine during cardiopulmonary arrest exacerbate the spasm?. The American Journal of Emergency Medicine. 33(3). 479.e5–479.e6. 9 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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