Xiaofeng Tao

1.4k total citations
68 papers, 1.0k citations indexed

About

Xiaofeng Tao is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Rheumatology. According to data from OpenAlex, Xiaofeng Tao has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Otorhinolaryngology and 12 papers in Rheumatology. Recurrent topics in Xiaofeng Tao's work include Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (13 papers) and Head and Neck Cancer Studies (13 papers). Xiaofeng Tao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), MRI in cancer diagnosis (13 papers) and Head and Neck Cancer Studies (13 papers). Xiaofeng Tao collaborates with scholars based in China, United States and United Kingdom. Xiaofeng Tao's co-authors include Ying Yuan, Jiliang Ren, Yingwei Wu, Huimin Shi, Meng Qi, Ying Yuan, Xinping Kuai, Xiaoxia Li, Xiaosong Chen and Jianfeng Gu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials and Radiology.

In The Last Decade

Xiaofeng Tao

61 papers receiving 1.0k citations

Peers

Xiaofeng Tao
Barış Karakullukçu Netherlands
Valentin Calugaru France
Kazuo Sano Japan
Steven E. Harms United States
Neetu Soni United States
Jonathan E. Leeman United States
J. Schipper Netherlands
Kazuyuki Araki Japan
Young‐Mo Kim South Korea
Kôichi Yasuda Japan
Barış Karakullukçu Netherlands
Xiaofeng Tao
Citations per year, relative to Xiaofeng Tao Xiaofeng Tao (= 1×) peers Barış Karakullukçu

Countries citing papers authored by Xiaofeng Tao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Tao. A scholar is included among the top collaborators of Xiaofeng Tao 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 Xiaofeng Tao. Xiaofeng Tao 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.
Tang, Yan, Yiran Yao, Tongxin Ge, et al.. (2024). Correlation Analysis of Apparent Diffusion Coefficient Histogram Parameters and Clinicopathologic Features for Prognosis Prediction in Uveal Melanoma. Investigative Ophthalmology & Visual Science. 65(8). 3–3. 2 indexed citations
2.
Zhang, Haiyang, Mengda Jiang, Huijie Zhang, et al.. (2024). Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease. Journal of Translational Medicine. 22(1). 56–56. 8 indexed citations
3.
Qi, Fangzhou, Jiawei Sun, Yangyang Xu, et al.. (2024). Strengthening dual-phase Mg-Li alloy through precipitation control. Materials Research Letters. 13(1). 17–23. 7 indexed citations
4.
Wang, Rui, et al.. (2024). Predicting response to immunotherapy in oral squamous cell carcinoma via a CT-based radiomics model. BMC Medical Imaging. 24(1). 266–266.
5.
Ren, Jiliang, Ying Yuan, Meng Qi, & Xiaofeng Tao. (2023). MRI-based radiomics nomogram for distinguishing solitary fibrous tumor from schwannoma in the orbit: a two-center study. European Radiology. 34(1). 560–568. 3 indexed citations
6.
Wang, Yanxing, et al.. (2022). Dual-molecular targeted NIR II probe with enhanced response for head and neck squamous cell carcinoma imaging. Nanotechnology. 33(22). 225101–225101. 3 indexed citations
7.
Qu, Yang, Xiaomin Li, Zhennan Yan, et al.. (2021). Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Medical Image Analysis. 69. 101954–101954. 27 indexed citations
8.
Yuan, Ying, Jiliang Ren, & Xiaofeng Tao. (2021). Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma. European Radiology. 31(9). 6429–6437. 45 indexed citations
9.
10.
Ren, Jiliang, Meng Qi, Ying Yuan, & Xiaofeng Tao. (2020). Radiomics of apparent diffusion coefficient maps to predict histologic grade in squamous cell carcinoma of the oral tongue and floor of mouth: a preliminary study. Acta Radiologica. 62(4). 453–461. 17 indexed citations
11.
Yuan, Ying, et al.. (2019). MRI-based radiomic signature as predictive marker for patients with head and neck squamous cell carcinoma. European Journal of Radiology. 117. 193–198. 48 indexed citations
12.
Sun, Pengpeng, Yunfei Zhang, Kaicheng Li, et al.. (2019). Image-guided surgery of head and neck carcinoma in rabbit models by intra-operatively defining tumour-infiltrated margins and metastatic lymph nodes. EBioMedicine. 50. 93–102. 14 indexed citations
13.
Li, Xiaoxia, et al.. (2018). Incremental Prognostic Value of Apparent Diffusion Coefficient Histogram Analysis in Head and Neck Squamous Cell Carcinoma. Academic Radiology. 25(11). 1433–1438. 16 indexed citations
14.
Ren, Jiliang, Ying Yuan, Yingwei Wu, & Xiaofeng Tao. (2018). Differentiation of orbital lymphoma and idiopathic orbital inflammatory pseudotumor: combined diagnostic value of conventional MRI and histogram analysis of ADC maps. BMC Medical Imaging. 18(1). 6–6. 43 indexed citations
15.
Wu, Yingwei, Karen Briley‐Sæbø, Jingyuan Xie, et al.. (2014). Inflammatory Bowel Disease: MR- and SPECT/CT-based Macrophage Imaging for Monitoring and Evaluating Disease Activity in Experimental Mouse Model—Pilot Study. Radiology. 271(2). 400–407. 30 indexed citations
16.
Tao, Xiaofeng, et al.. (2014). MRI findings of solitary fibrous tumours in the head and neck region. Dentomaxillofacial Radiology. 43(3). 20130415–20130415. 27 indexed citations
17.
Chen, Xi, et al.. (2012). [The study of the correlation of papillary thyroid carcinoma's invasion toward Ezrin and E-cadherin].. PubMed. 26(17). 789–91, 795. 2 indexed citations
18.
Zhu, Jingqi, et al.. (2012). Calcified Cerebral Cryptococcal Granuloma. The Indian Journal of Pediatrics. 80(4). 345–348. 3 indexed citations
19.
Tao, Xiaofeng, Chang Liu, Yan Bai, & Xi Chen. (2011). [Study of the correlation of papillary thyroid carcinoma's invasion with Ezrin, Moesin and E-Cadherin].. PubMed. 46(9). 761–3. 2 indexed citations
20.
Wu, Yingwei, et al.. (2011). Quantitative measures of comb sign in Crohn’s disease: correlation with disease activity and laboratory indications. Abdominal Imaging. 37(3). 350–358. 14 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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