Fei Ren

2.2k total citations
29 papers, 771 citations indexed

About

Fei Ren is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Fei Ren has authored 29 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Fei Ren's work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (10 papers) and Electron and X-Ray Spectroscopy Techniques (3 papers). Fei Ren is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (10 papers) and Electron and X-Ray Spectroscopy Techniques (3 papers). Fei Ren collaborates with scholars based in China, United States and Algeria. Fei Ren's co-authors include Fa Zhang, Rui Yan, Xiaosong Rao, Chun-Hou Zheng, Zihao Wang, Lihua Wang, Yudong Liu, Tong Zhang, Jin He and Huakun Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Sensors.

In The Last Decade

Fei Ren

23 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ren China 14 505 279 149 107 96 29 771
Camille Kurtz France 15 130 0.3× 104 0.4× 219 1.5× 5 0.0× 27 0.3× 47 703
Xiaowei Chen China 13 55 0.1× 32 0.1× 64 0.4× 20 0.2× 29 0.3× 44 697
Ryohei Nakayama Japan 13 245 0.5× 276 1.0× 124 0.8× 5 0.0× 3 0.0× 63 556
C. K. Lee Hong Kong 3 113 0.2× 46 0.2× 335 2.2× 5 0.0× 10 0.1× 6 637
Ludovic Roux France 11 546 1.1× 227 0.8× 413 2.8× 2 0.0× 13 0.1× 23 761
Yago Díez Japan 14 96 0.2× 104 0.4× 205 1.4× 3 0.0× 13 0.1× 49 631
Chen Yao China 13 252 0.5× 171 0.6× 98 0.7× 11 0.1× 1 0.0× 48 696
Kenneth Laws Australia 9 169 0.3× 114 0.4× 232 1.6× 4 0.0× 17 0.2× 14 655
Matteo Barbieri Italy 11 181 0.4× 186 0.7× 17 0.1× 13 0.1× 2 0.0× 33 941
Pedro Real Spain 14 41 0.1× 39 0.1× 125 0.8× 4 0.0× 4 0.0× 75 603

Countries citing papers authored by Fei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ren. A scholar is included among the top collaborators of Fei Ren 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 Fei Ren. Fei Ren 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.
Ren, Fei, et al.. (2025). Fusing coupled degradation mechanisms with machine learning: A multi-fidelity framework for lithium-ion battery lifespan prediction. Green Energy and Intelligent Transportation. 5(4). 100367–100367.
2.
Yan, Rui, et al.. (2025). Pathway-Aware Multimodal Transformer (PAMT): Integrating Pathological Image and Gene Expression for Interpretable Cancer Survival Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 896–913.
3.
4.
Fan, Ke, et al.. (2024). Intelligent imaging technology applications in multidisciplinary hospitals. Chinese Medical Journal. 137(24). 3083–3092.
5.
Ren, Fei, et al.. (2023). Immunohistochemical HER2 Recognition and Analysis of Breast Cancer Based on Deep Learning. Diagnostics. 13(2). 263–263. 15 indexed citations
6.
Ren, Fei, Jianwen Gu, Jihua Wu, et al.. (2023). Rapid Segmentation and Diagnosis of Breast Tumor Ultrasound Images at the Sonographer Level Using Deep Learning. Bioengineering. 10(10). 1220–1220. 8 indexed citations
7.
Yan, Rui, Xueyuan Zhang, Jun Wang, et al.. (2023). Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning. Medical Image Analysis. 87. 102824–102824. 25 indexed citations
8.
9.
Yang, Liqiang, Kunfeng Qiu, Fei Ren, et al.. (2022). Geology, mineralogy and pyrite trace elements constraints on gold mineralization mechanism at the giant Dayingezhuang gold deposit, Jiaodong Peninsula, China. Ore Geology Reviews. 148. 104992–104992. 11 indexed citations
10.
Yan, Rui, Fa Zhang, Xiaosong Rao, et al.. (2021). Richer fusion network for breast cancer classification based on multimodal data. BMC Medical Informatics and Decision Making. 21(S1). 134–134. 50 indexed citations
11.
Ren, Fei, et al.. (2021). ADVRET: An Adversarial Robustness Evaluating and Testing Platform for Deep Learning Models. 5.53. 9–14. 1 indexed citations
12.
Yan, Rui, Jintao Li, Xiaosong Rao, et al.. (2020). NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. 865–870. 11 indexed citations
13.
Yan, Rui, Fei Ren, Zihao Wang, et al.. (2019). Breast cancer histopathological image classification using a hybrid deep neural network. Methods. 173. 52–60. 242 indexed citations
14.
Zhang, Hong, Fei Ren, Zhong-Lie Wang, et al.. (2019). Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network. 920–925. 11 indexed citations
15.
Ye, Jia, Yu Zhang, Ron J. Weiss, et al.. (2018). Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis. Neural Information Processing Systems. 31. 4480–4490. 90 indexed citations
16.
Wang, Yuxuan, Daisy Stanton, Yu Zhang, et al.. (2018). Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. International Conference on Machine Learning. 5180–5189. 62 indexed citations
17.
Han, Renmin, Xiaohua Wan, Zihao Wang, et al.. (2017). AuTom: A novel automatic platform for electron tomography reconstruction. Journal of Structural Biology. 199(3). 196–208. 21 indexed citations
18.
Li, Jun, et al.. (2016). Geochemical characteristics of magnetite from Beiya gold polymetallic deposit in western Yunnan and its constraint on mineralization. 35(2). 413. 3 indexed citations
19.
Jing, Xin, Xiaoxia Yang, Fei Ren, et al.. (2016). Neutral effect of nitrogen addition and negative effect of phosphorus addition on topsoil extracellular enzymatic activities in an alpine grassland ecosystem. Applied Soil Ecology. 107. 205–213. 97 indexed citations
20.
Han, Renmin, Fan Xu, Yongdeng Zhang, et al.. (2015). Drift correction for single-molecule imaging by molecular constraint field, a distance minimum metric. PubMed. 8(1). 1–1. 15 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 Camille Kurtz Breakdown of academic impact, for papers by Xiaowei Chen Breakdown of academic impact, for papers by Ryohei Nakayama Breakdown of academic impact, for papers by C. K. Lee Breakdown of academic impact, for papers by Ludovic Roux Breakdown of academic impact, for papers by Yago Díez Breakdown of academic impact, for papers by Chen Yao Breakdown of academic impact, for papers by Kenneth Laws Breakdown of academic impact, for papers by Matteo Barbieri Breakdown of academic impact, for papers by Pedro Real
Rankless by CCL
2026