Chen‐Fei Wu

982 total citations
19 papers, 533 citations indexed

About

Chen‐Fei Wu is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Chen‐Fei Wu has authored 19 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Otorhinolaryngology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Chen‐Fei Wu's work include Head and Neck Cancer Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Chen‐Fei Wu is often cited by papers focused on Head and Neck Cancer Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Chen‐Fei Wu collaborates with scholars based in China. Chen‐Fei Wu's co-authors include Ying Sun, Zihang Chen, Guan‐Qun Zhou, Li Lin, Rui‐Hua Xu, Jia‐Wei Lv, Jun Ma, Zi‐Qi Zheng, Fo‐Ping Chen and Li Lin and has published in prestigious journals such as Nature Communications, Cancer and Cell Death and Differentiation.

In The Last Decade

Chen‐Fei Wu

17 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Fei Wu China 11 174 140 139 120 111 19 533
Irene H. Nauta Netherlands 9 67 0.4× 133 0.9× 58 0.4× 201 1.7× 79 0.7× 14 381
Jennifer Shah United States 12 44 0.3× 161 1.1× 46 0.3× 280 2.3× 173 1.6× 48 557
Seung Yeun Chung South Korea 14 30 0.2× 155 1.1× 91 0.7× 44 0.4× 194 1.7× 31 537
Colton Ladbury United States 11 40 0.2× 164 1.2× 40 0.3× 28 0.2× 177 1.6× 67 461
Stephen M. Smith United States 10 35 0.2× 99 0.7× 21 0.2× 85 0.7× 129 1.2× 34 362
Wang‐Zhong Li China 13 61 0.4× 275 2.0× 71 0.5× 205 1.7× 81 0.7× 41 523
Carlo Furlan Italy 13 69 0.4× 180 1.3× 113 0.8× 88 0.7× 134 1.2× 29 515
François‐Xavier Hanin Belgium 13 72 0.4× 103 0.7× 124 0.9× 157 1.3× 290 2.6× 21 554
Hann‐Hsiang Chao United States 13 239 1.4× 85 0.6× 46 0.3× 35 0.3× 84 0.8× 31 547
Imogen Locke United Kingdom 16 134 0.8× 208 1.5× 288 2.1× 18 0.1× 246 2.2× 39 798

Countries citing papers authored by Chen‐Fei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Fei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen‐Fei Wu

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

All Works

19 of 19 papers shown
1.
Lv, Wenbing, Chen‐Fei Wu, Zhilong Chen, et al.. (2025). A Serial MRI–based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma. Radiology Artificial Intelligence. 7(2). e230544–e230544.
2.
Chen, Zihang, Lingling Xu, Feng Li, et al.. (2025). Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy. BMC Medical Informatics and Decision Making. 25(1). 268–268.
3.
Chen, Wei, Kai‐Bin Yang, Jinwei Chen, et al.. (2024). Synthetic lethality of combined ULK1 defection and p53 restoration induce pyroptosis by directly upregulating GSDME transcription and cleavage activation through ROS/NLRP3 signaling. Journal of Experimental & Clinical Cancer Research. 43(1). 248–248. 16 indexed citations
4.
Chen, Zihang, Weihong Zheng, Chen‐Fei Wu, et al.. (2023). Thyroid dysfunction in Chinese nasopharyngeal carcinoma after anti-PD-1 therapy and its association with treatment response. BMC Medicine. 21(1). 18–18. 6 indexed citations
5.
Lv, Jia‐Wei, Chen‐Fei Wu, Junyan Li, et al.. (2022). Improving on-treatment risk stratification of cancer patients with refined response classification and integration of circulating tumor DNA kinetics. BMC Medicine. 20(1). 268–268. 6 indexed citations
6.
7.
Yang, Kai‐Bin, Zihang Chen, Chen‐Fei Wu, et al.. (2022). Contribution of insurance status to the association between marital status and cancer-specific survival: a mediation analysis. BMJ Open. 12(9). e060149–e060149. 4 indexed citations
8.
Li, Zhi‐Xuan, Zi‐Qi Zheng, Li Lin, et al.. (2022). WTAP-mediated m6A modification of lncRNA DIAPH1-AS1 enhances its stability to facilitate nasopharyngeal carcinoma growth and metastasis. Cell Death and Differentiation. 29(6). 1137–1151. 122 indexed citations
9.
Chen, Zihang, et al.. (2021). Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine. Cancer Communications. 41(11). 1100–1115. 147 indexed citations
10.
11.
Wu, Chen‐Fei, Li Lin, Yan‐Ping Mao, et al.. (2021). Liquid biopsy posttreatment surveillance in endemic nasopharyngeal carcinoma: a cost-effective strategy to integrate circulating cell-free Epstein-Barr virus DNA. BMC Medicine. 19(1). 193–193. 11 indexed citations
12.
Chen, Zihang, Kai‐Bin Yang, Chen‐Fei Wu, et al.. (2021). Assessment of Modifiable Factors for the Association of Marital Status With Cancer-Specific Survival. JAMA Network Open. 4(5). e2111813–e2111813. 52 indexed citations
13.
Kou, Jia, Lulu Zhang, Xing‐Li Yang, et al.. (2021). Development of a Nomogram Model for Treatment of Elderly Patients with Locoregionally Advanced Nasopharyngeal Carcinoma. Journal of Personalized Medicine. 11(11). 1065–1065. 7 indexed citations
14.
15.
Wu, Jing, Zihao Wen, Dandan Liu, et al.. (2020). [Safety evaluation on different ventilation strategies set for neonatal respiratory distress syndrome: a network Meta-analysis].. PubMed. 41(2). 249–260. 2 indexed citations
16.
Zhou, Guan‐Qun, Chen‐Fei Wu, Bin Deng, et al.. (2020). An optimal posttreatment surveillance strategy for cancer survivors based on an individualized risk-based approach. Nature Communications. 11(1). 3872–3872. 27 indexed citations
17.
Chen, Fo‐Ping, Xiaodan Huang, Jia‐Wei Lv, et al.. (2020). Prognostic potential of liquid biopsy tracking in the posttreatment surveillance of patients with nonmetastatic nasopharyngeal carcinoma. Cancer. 126(10). 2163–2173. 38 indexed citations
18.
Huang, Xiaodan, Guan‐Qun Zhou, Jia‐Wei Lv, et al.. (2018). Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis. Radiotherapy and Oncology. 129(2). 389–395. 39 indexed citations
19.
Xiao, Di, Meiling Ou, Congcong Guo, et al.. (2016). Interaction between susceptibility loci in cGAS-STING pathway, MHC gene and HPV infection on the risk of cervical precancerous lesions in Chinese population. Oncotarget. 7(51). 84228–84238. 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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