Feiyun Wu

1.1k total citations
71 papers, 765 citations indexed

About

Feiyun Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feiyun Wu has authored 71 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pathology and Forensic Medicine and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feiyun Wu's work include Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (14 papers) and Ophthalmology and Eye Disorders (13 papers). Feiyun Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (14 papers) and Ophthalmology and Eye Disorders (13 papers). Feiyun Wu collaborates with scholars based in China, United States and Taiwan. Feiyun Wu's co-authors include Xiao‐Quan Xu, Hao Hu, Guo‐Yi Su, Hai‐Bin Shi, Huanhuan Chen, Lu Chen, Qian Wu, Hu Liu, Wen Chen and Yan Zhou and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and Journal of Clinical Microbiology.

In The Last Decade

Feiyun Wu

61 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feiyun Wu China 17 315 149 134 133 124 71 765
JaeSang Ko South Korea 15 131 0.4× 147 1.0× 58 0.4× 79 0.6× 72 0.6× 51 601
Alfonso L. Sabater United States 14 364 1.2× 153 1.0× 24 0.2× 76 0.6× 75 0.6× 50 804
Xiaochun Zhao United States 18 90 0.3× 50 0.3× 147 1.1× 277 2.1× 330 2.7× 98 1.0k
Eric Suero Molina Germany 17 193 0.6× 38 0.3× 415 3.1× 270 2.0× 231 1.9× 78 1.0k
Türker Kılıç Türkiye 15 69 0.2× 99 0.7× 31 0.2× 242 1.8× 214 1.7× 48 687
Marcin Stopa Poland 16 361 1.1× 71 0.5× 84 0.6× 81 0.6× 79 0.6× 62 929
Marco Saini Italy 16 300 1.0× 63 0.4× 218 1.6× 160 1.2× 183 1.5× 27 803
Mariantonia Ferrara Italy 19 490 1.6× 85 0.6× 47 0.4× 50 0.4× 155 1.3× 69 853
Jing Hong China 18 482 1.5× 49 0.3× 37 0.3× 92 0.7× 32 0.3× 136 1.2k
Barbara Koszyca Australia 16 69 0.2× 41 0.3× 56 0.4× 107 0.8× 98 0.8× 39 612

Countries citing papers authored by Feiyun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feiyun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyun Wu. A scholar is included among the top collaborators of Feiyun 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 Feiyun Wu. Feiyun 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.
Dang, Meng, et al.. (2025). In situ activatable Disulfiram-Rhodium(III) nanocomplex for Cu chelation and STAT3 inhibition to Potentiate photodynamic and immunotherapy. Chemical Engineering Journal. 507. 160182–160182. 2 indexed citations
2.
4.
Hu, Hao, Jiang Zhou, Qian Wu, et al.. (2024). Determining Disease Activity and Glucocorticoid Response in Thyroid-Associated Ophthalmopathy: Preliminary Study Using Dynamic Contrast-Enhanced MRI. Korean Journal of Radiology. 25(12). 1070–1070. 4 indexed citations
5.
Zhang, Jie, Jiajia Tang, Yang Li, et al.. (2024). NIR-triggered on-site NO/ROS/RNS nanoreactor: Cascade-amplified photodynamic/photothermal therapy with local and systemic immune responses activation. Opto-Electronic Advances. 7(6). 240013–240013. 8 indexed citations
6.
Hu, Hao, Jiang Zhou, Wenhao Jiang, et al.. (2024). Diagnosis of dysthyroid optic neuropathy: combined value of orbital MRI and intracranial visual pathway diffusion kurtosis imaging. European Radiology. 34(8). 5401–5411. 8 indexed citations
7.
Su, Guo‐Yi, et al.. (2023). Texture analysis of diffusion kurtosis imaging for differentiating malignant from benign sinonasal lesions: added value to conventional imaging features. British Journal of Radiology. 96(1144). 20220806–20220806. 1 indexed citations
8.
Xu, Xiao‐Quan, et al.. (2022). Iodine Maps from Dual-Energy CT to Predict Extrathyroidal Extension and Recurrence in Papillary Thyroid Cancer Based on a Radiomics Approach. American Journal of Neuroradiology. 43(5). 748–755. 15 indexed citations
9.
Chen, Wen, Hao Hu, Huanhuan Chen, et al.. (2022). Altered neurovascular coupling in thyroid‐associated ophthalmopathy: A combined resting‐state fMRI and arterial spin labeling study. Journal of Neuroscience Research. 101(1). 34–47. 12 indexed citations
10.
Zhou, Jiang, Wen Chen, Qian Wu, et al.. (2022). Reduced cortical complexity in patients with thyroid-associated ophthalmopathy. Brain Imaging and Behavior. 16(5). 2133–2140. 8 indexed citations
11.
Li, Wenming, Jiulou Zhang, Shui Tian, et al.. (2022). Radiomics analysis of CT imaging improves preoperative prediction of cervical lymph node metastasis in laryngeal squamous cell carcinoma. European Radiology. 33(2). 1121–1131. 18 indexed citations
12.
Xu, Xiao‐Quan, Yue Chu, Shanshan Lu, et al.. (2022). Prognostic value of ASPECTS on post-treatment diffusion-weighted imaging for acute ischemic stroke patients after endovascular thrombectomy: comparison with infarction volume. European Radiology. 32(12). 8079–8088. 4 indexed citations
13.
Su, Guo‐Yi, et al.. (2022). Texture analysis of conventional magnetic resonance imaging and diffusion-weighted imaging for distinguishing sinonasal non-Hodgkin’s lymphoma from squamous cell carcinoma. European Archives of Oto-Rhino-Laryngology. 279(12). 5715–5720. 5 indexed citations
14.
Chen, Wen, Qian Wu, Lu Chen, et al.. (2021). Aberrant brain voxel‐wise resting state fMRI in patients with thyroid‐associated ophthalmopathy. Journal of Neuroimaging. 31(4). 773–783. 25 indexed citations
15.
Cao, Yuezhou, Xiao‐Quan Xu, Shanshan Lu, et al.. (2021). Incremental value of Alberta Stroke Program Early CT Score to collateral score for predicting target mismatch in stroke patients with extended time window or unknown onset time. Neurological Sciences. 43(2). 1097–1104. 3 indexed citations
16.
Chen, Lu, et al.. (2020). Added value of susceptibility-weighted imaging to diffusion-weighted imaging in the characterization of parotid gland tumors. European Archives of Oto-Rhino-Laryngology. 277(10). 2839–2846. 8 indexed citations
17.
Hu, Hao, Huanhuan Chen, Wen Chen, et al.. (2020). T2 mapping histogram at extraocular muscles for predicting the response to glucocorticoid therapy in patients with thyroid-associated ophthalmopathy. Clinical Radiology. 76(2). 159.e1–159.e8. 13 indexed citations
18.
Zhou, Yan, Guo‐Yi Su, Hao Hu, et al.. (2020). Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer. European Radiology. 30(11). 6251–6262. 61 indexed citations
20.
Yeh, Chun‐Chieh, Chun‐Ting Lai, Ling‐Ling Hsieh, et al.. (2009). Protein carbonyl levels, glutathione S-transferase polymorphisms and risk of colorectal cancer. Carcinogenesis. 31(2). 228–233. 38 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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