Feng Ye

1.4k total citations
30 papers, 311 citations indexed

About

Feng Ye is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Feng Ye has authored 30 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cancer Research. Recurrent topics in Feng Ye's work include MRI in cancer diagnosis (4 papers), Dialysis and Renal Disease Management (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Feng Ye is often cited by papers focused on MRI in cancer diagnosis (4 papers), Dialysis and Renal Disease Management (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Feng Ye collaborates with scholars based in China, United States and Canada. Feng Ye's co-authors include Wenya Yu, Chen Xue, Meina Li, Lulu Zhang, Bo Fu, Pei Liu, Luping Ji, Hong Bu, Weiqi Rong and Yan Qiu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Feng Ye

27 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Ye China 11 98 61 49 45 42 30 311
Yana Qi China 14 142 1.4× 79 1.3× 42 0.9× 91 2.0× 53 1.3× 50 519
Sarah Jo Stephens United States 9 125 1.3× 45 0.7× 67 1.4× 93 2.1× 77 1.8× 29 387
Holly Hartman United States 13 117 1.2× 43 0.7× 71 1.4× 36 0.8× 59 1.4× 19 436
Romulo Celli United States 10 70 0.7× 28 0.5× 68 1.4× 36 0.8× 52 1.2× 22 393
Angus McGregor United Kingdom 10 100 1.0× 24 0.4× 89 1.8× 73 1.6× 46 1.1× 16 398
Yibo Wang China 11 145 1.5× 57 0.9× 20 0.4× 59 1.3× 55 1.3× 18 340
Timothy A. Lin United States 12 131 1.3× 80 1.3× 113 2.3× 22 0.5× 84 2.0× 60 561
Steven K. Cheng United States 9 57 0.6× 64 1.0× 18 0.4× 28 0.6× 27 0.6× 13 586
Markus Follmann Germany 14 284 2.9× 117 1.9× 56 1.1× 56 1.2× 95 2.3× 62 700

Countries citing papers authored by Feng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ye. A scholar is included among the top collaborators of Feng Ye 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 Feng Ye. Feng Ye 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.
Qiu, Ye, Haoru Wang, Wenjun Sun, et al.. (2024). Real-world effectiveness and safety of nirmatrelvir-ritonavir (Paxlovid)-treated for COVID-19 patients with onset of more than 5 days: a retrospective cohort study. Frontiers in Pharmacology. 15. 1401658–1401658. 4 indexed citations
2.
Viecelli, Andrea K., Zunaid Barday, Soroush Shojai, et al.. (2024). Worldwide organization and structures for kidney transplantation services. Nephrology Dialysis Transplantation. 39(Supplement_2). ii26–ii34.
3.
Htay, Htay, Yeoungjee Cho, Vivekanand Jha, et al.. (2024). Global structures, practices, and tools for provision of hemodialysis. Nephrology Dialysis Transplantation. 39(Supplement_2). ii11–ii17. 1 indexed citations
4.
Ye, Feng, et al.. (2024). Impact of exercise on cancer: mechanistic perspectives and new insights. Frontiers in Immunology. 15. 1474770–1474770. 8 indexed citations
5.
Liu, Pei, Luping Ji, Feng Ye, & Bo Fu. (2023). AdvMIL: Adversarial multiple instance learning for the survival analysis on whole-slide images. Medical Image Analysis. 91. 103020–103020. 22 indexed citations
6.
7.
Okpechi, Ikechi G., Feng Ye, Deenaz Zaidi, et al.. (2022). Global eHealth capacity: secondary analysis of WHO data on eHealth and implications for kidney care delivery in low-resource settings. BMJ Open. 12(3). e055658–e055658. 8 indexed citations
8.
Li, Shaoqiang, Ya Li, Zhengtu Li, et al.. (2022). Loss to follow-up associated factors in patients with chronic pulmonary aspergillosis and its impact on the disease prognosis. Frontiers in Public Health. 10. 1026855–1026855. 3 indexed citations
9.
10.
Yang, Anli, Ying Zhou, Yanan Kong, et al.. (2021). Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer. Frontiers in Immunology. 12. 704557–704557. 2 indexed citations
11.
Zhao, Qing, Lijuan Wan, Shuangmei Zou, et al.. (2021). Prognostic risk factors and survival models for T3 locally advanced rectal cancer: what can we learn from the baseline MRI?. European Radiology. 31(7). 4739–4750. 6 indexed citations
12.
Zhong, Xiaorong, Ting Luo, Ling Deng, et al.. (2020). Multidimensional Machine Learning Personalized Prognostic Model in an Early Invasive Breast Cancer Population-Based Cohort in China: Algorithm Validation Study. JMIR Medical Informatics. 8(11). e19069–e19069. 10 indexed citations
13.
Zhang, Qi, Han Ouyang, Feng Ye, et al.. (2020). Feasibility of intravoxel incoherent motion diffusion-weighted imaging in distinguishing adenocarcinoma originated from uterine corpus or cervix. Abdominal Radiology. 46(2). 732–744. 10 indexed citations
14.
Yang, Yi, Feng Ye, Yujing Xin, et al.. (2020). Prognostic significance of controlling nutritional status score- based nomogram for hepatocellular carcinoma within Milan criteria after radiofrequency ablation. Journal of Gastrointestinal Oncology. 11(5). 1024–1039. 12 indexed citations
15.
16.
Lin, Shengtao, Feng Ye, Weiqi Rong, et al.. (2019). Nomogram to Assist in Surgical Plan for Hepatocellular Carcinoma: a Prediction Model for Microvascular Invasion. Journal of Gastrointestinal Surgery. 23(12). 2372–2382. 32 indexed citations
17.
Wu, Haoxuan, Xi Cheng, Xiaoqian Jing, et al.. (2018). LIFR promotes tumor angiogenesis by up-regulating IL-8 levels in colorectal cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(9). 2769–2784. 35 indexed citations
18.
Yu, Wenya, Meina Li, Feng Ye, Chen Xue, & Lulu Zhang. (2017). Patient preference and choice of healthcare providers in Shanghai, China: a cross-sectional study. BMJ Open. 7(10). e016418–e016418. 42 indexed citations
19.
Ye, Feng, Xiaorong Zhong, Yan Qiu, et al.. (2017). CD49f Can Act as a Biomarker for Local or Distant Recurrence in Breast Cancer. Journal of Breast Cancer. 20(2). 142–142. 24 indexed citations
20.
Pu, Tianjie, Peng Guo, Yan Qiu, et al.. (2015). Quantitative real-time polymerase chain reaction is an alternative method for the detection of HER-2 amplification in formalin-fixed paraffin-embedded breast cancer samples.. PubMed. 8(9). 10565–74. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yana Qi Breakdown of academic impact, for papers by Sarah Jo Stephens Breakdown of academic impact, for papers by Holly Hartman Breakdown of academic impact, for papers by Romulo Celli Breakdown of academic impact, for papers by Angus McGregor Breakdown of academic impact, for papers by Yibo Wang Breakdown of academic impact, for papers by Timothy A. Lin Breakdown of academic impact, for papers by Steven K. Cheng Breakdown of academic impact, for papers by Markus Follmann
Rankless by CCL
2026