Feng Feng

485 total citations
30 papers, 296 citations indexed

About

Feng Feng is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Feng has authored 30 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Feng's work include Nanoplatforms for cancer theranostics (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). Feng Feng is often cited by papers focused on Nanoplatforms for cancer theranostics (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). Feng Feng collaborates with scholars based in China, United States and Switzerland. Feng Feng's co-authors include Jinwei Qiang, Guofu Zhang, Hua Feng, Shu Hui Zhao, Haiming Li, Yongai Li, Shuhui Zhao, Wei Gu, Zhiyong Zhang and Manman Li and has published in prestigious journals such as Nano Letters, ACS Nano and PLoS ONE.

In The Last Decade

Feng Feng

27 papers receiving 293 citations

Peers

Countries citing papers authored by Feng Feng

Since Specialization

Citations

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

Fields of papers citing papers by Feng Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Feng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MRI ‐Based Score to Predict Retreatment Response for Viable Hepatocellular Carcinomas After Transarterial Chemoembolization 2025 ·Liver International ·(unknown), Xiuming Zhang, Yixing Yu, Feng Feng, Cai Wu, Shuwei Zhou, (unknown), (unknown), (unknown), Shenghong Ju, Yuancheng Wang	2
2	A smart Zr/Co porphyrin MOFs-based nanotheranostics: Triggering ROS storm for potentiated tumor therapy 2025 ·Chemical Engineering Journal ·(unknown), (unknown), Yaru Li, Yunfeng Bai, Feng Feng	0
3	Tailored biomimetic nanoreactor improves glioma chemodynamic treatment via triple glutathione depletion and prompt acidity elevation 2025 ·Materials Today Bio ·Ya Wen, (unknown), Feng Feng, Yujuan Zhu, Jianquan Zhang, (unknown), Tuo‐Di Zhang, Wei Shi, Jinlong Shi	2
4	Rapid and scalable fabrication of UiO-66-NH2 membrane for ultra-high-flux oil–water separation without any compromising rejection coefficient 2025 ·Separation and Purification Technology ·Mengqi Liu, Lu Zhang, Xie Quan, Runnan Zhang, Linzhi Zhai, (unknown), Peng Song, Feng Feng, Jianming Pan	3
5	Multiscale Mass Transport Across Membranes: From Molecular Scale to Nanoscale to Micron Scale 2024 ·ACS Nano ·Guanhua Xu, (unknown), Feng Feng, Yuqing Wu, Xiuyu Wang	0
6	Tumor Microenvironment-Responsive Magnetotactic Bacteria-Based Multi-Drug Delivery Platform for MRI-Visualized Tumor Photothermal Chemodynamic Therapy 2024 ·Biology ·Feng Feng, (unknown), (unknown), Li Yao, Xiuyu Wang	2
7	Development and validation of a preoperative CT-based risk scoring system for predicting recurrence-free survival in patients undergoing curative surgery for gastric cancer 2024 ·European Journal of Radiology ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Feng Feng	3
8	Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients 2024 ·BMC Medical Imaging ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Feng Feng	1
9	Polytonic Drug Release via Multi‐Hierarchical Microstructures Enabled by Nano‐Metamaterials 2023 ·Advanced Healthcare Materials ·Qi Lou, Feng Feng, Junfeng Hui, Peisen Zhang, Shijie Qin, Xiaoping Ouyang, Dazhuan Wu, Xiuyu Wang	10
10	Development and validation of MRI-based radiomics model to predict recurrence risk in patients with endometrial cancer: a multicenter study 2023 ·European Radiology ·(unknown), Ting Wang, Qiong Li, Qiu Bi, (unknown), (unknown), Feng Feng, Meiling Xiao, Yajia Gu, Jinwei Qiang, Haiming Li	26
11	Preoperative CT Radiomics Nomogram for Predicting Microvascular Invasion in Stage I Non-Small Cell Lung Cancer 2023 ·Academic Radiology ·Linhong Deng, (unknown), (unknown), Feng Feng, (unknown), Qiong Li, Jinwei Qiang	3
12	Enhanced Acoustic Droplet Vaporization through the Active Magnetic Accumulation of Drug-Loaded Magnetic Particle-Encapsulated Nanodroplets (MPE-NDs) in Cancer Therapy 2022 ·Nano Letters ·Shuo Huang, Wenyu Guo, Jian An, Jiabin Zhang, (unknown), Feihong Dong, Di Wang, Feng Feng, Jue Zhang	11
13	MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculous meningitis: a preliminary multicenter study 2022 ·European Radiology ·Qiong Ma, (unknown), Tiejun Liu, (unknown), Fei Shan, Feng Feng, Qinqin Yan, Jie Shen, Guang Yang, Yuxin Shi	8
14	MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers 2020 ·European Radiology ·Junming Jian, Yongai Li, Perry J. Pickhardt, Wei Xia, He Zhang, Rui Zhang, Shuhui Zhao, Xingyu Zhao, (unknown), Jiayi Zhang, Guofu Zhang, (unknown), Yan Zhang, Keying Wang, Guangwu Lin, Feng Feng, Xiaodong Wu, Xin Gao, Jinwei Qiang	61
15	A computational solution to improve biomarker reproducibility during long-term projects 2019 ·PLoS ONE ·Feng Feng, (unknown), Beena Thomas, Elizabeth R. Duffy, Jiyoun Kim, (unknown), (unknown), (unknown), Chris Andry, Deborah J. Stearns-Kurosawa	12
16	Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors 2018 ·Abdominal Radiology ·Haiming Li, Feng Feng, Jinwei Qiang, Guofu Zhang, Shuhui Zhao, Fenghua Ma, Yongai Li, Weiyong Gu	24
17	Dynamic contrast-enhanced MRI versus 18F-FDG PET/CT: Which is better in differentiation between malignant and benign solitary pulmonary nodules? 2018 ·Chinese Journal of Cancer Research ·Feng Feng, Fulin Qiang, Aijun Shen, (unknown), (unknown), Haiming Li, Mingzhu Zhang, (unknown), Peng Cao	5
18	Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: A correlation with Ki‐67 expression 2017 ·Journal of Magnetic Resonance Imaging ·(unknown), Shu Hui Zhao, Jinwei Qiang, Guofu Zhang, Feng Feng, Hua Feng, (unknown), Wei Gu	36
19	MRI for differentiating ovarian endometrioid adenocarcinoma from high-grade serous adenocarcinoma 2015 ·Journal of Ovarian Research ·(unknown), Jinwei Qiang, (unknown), Shu Hui Zhao, Hua Feng, (unknown), Feng Feng, (unknown)	16
20	Association of Radiologic Findings with Mortality in Patients with Avian Influenza H7N9 Pneumonia 2014 ·PLoS ONE ·Feng Feng, Yebin Jiang, Min Yuan, Jie Shen, (unknown), Daoying Geng, Jianrong Xu, Yanqing Hua, Jingyun Shi, Yuxin Shi, Zhiyong Zhang	27

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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