Ming Fan

2.4k total citations
79 papers, 1.6k citations indexed

About

Ming Fan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ming Fan has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Artificial Intelligence and 18 papers in Molecular Biology. Recurrent topics in Ming Fan's work include Radiomics and Machine Learning in Medical Imaging (37 papers), MRI in cancer diagnosis (24 papers) and AI in cancer detection (22 papers). Ming Fan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (37 papers), MRI in cancer diagnosis (24 papers) and AI in cancer detection (22 papers). Ming Fan collaborates with scholars based in China, Saudi Arabia and United States. Ming Fan's co-authors include Lihua Li, Xin Gao, Juan Zhang, Yu Li, Cheng Hu, Ramzan Umarov, Peng Zhang, Shiwei Wang, Sheng Wang and Bingqing Xie and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Ming Fan

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Fan China 21 934 470 381 173 166 79 1.6k
Pegah Khosravi United States 14 398 0.4× 439 0.9× 316 0.8× 126 0.7× 148 0.9× 25 1.3k
Jenny L. Smith United States 12 310 0.3× 384 0.8× 193 0.5× 112 0.6× 128 0.8× 44 882
Xin Zhen China 22 739 0.8× 196 0.4× 334 0.9× 75 0.4× 373 2.2× 96 1.6k
Mingming Xiao China 15 661 0.7× 420 0.9× 498 1.3× 315 1.8× 143 0.9× 48 1.5k
Yaping Wu China 25 567 0.6× 125 0.3× 245 0.6× 92 0.5× 257 1.5× 102 1.9k
Zhenwei Shi China 21 815 0.9× 386 0.8× 395 1.0× 63 0.4× 293 1.8× 66 1.5k
Ling Wei China 24 574 0.6× 127 0.3× 399 1.0× 122 0.7× 79 0.5× 95 1.6k
Jia Wu United States 28 1.4k 1.5× 437 0.9× 349 0.9× 299 1.7× 626 3.8× 98 2.4k
Zhen Zhang China 21 425 0.5× 132 0.3× 506 1.3× 240 1.4× 263 1.6× 109 1.6k
Theodore Sakellaropoulos United States 14 994 1.1× 1.1k 2.4× 862 2.3× 393 2.3× 368 2.2× 30 2.5k

Countries citing papers authored by Ming Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Fan. A scholar is included among the top collaborators of Ming Fan 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 Ming Fan. Ming Fan 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.
2.
3.
Guan, Jian, Ming Fan, Tieyong Zeng, & Lihua Li. (2023). Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. IEEE Journal of Biomedical and Health Informatics. 27(10). 4792–4803.
4.
Fan, Ming, et al.. (2023). Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. IEEE Journal of Biomedical and Health Informatics. 27(11). 5495–5505. 7 indexed citations
5.
Guan, Jian, Ming Fan, & Lihua Li. (2023). A weakly supervised NMF method to decipher molecular subtype-related dynamic patterns in breast DCE-MR images. Physics in Medicine and Biology. 68(21). 215002–215002. 2 indexed citations
6.
7.
Long, Haixia, Ming Fan, Xu-Hua Yang, et al.. (2022). Structural and functional biomarkers of the insula subregions predict sex differences in aggression subscales. Human Brain Mapping. 43(9). 2923–2935. 4 indexed citations
8.
Fan, Ming, et al.. (2022). Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms. Journal of Digital Imaging. 35(4). 910–922.
9.
10.
11.
Fan, Ming, Hang Chen, Chao You, et al.. (2021). Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer. Frontiers in Molecular Biosciences. 8. 622219–622219. 48 indexed citations
12.
Yang, Shuzhen, Ming Fan, Dongmei Li, et al.. (2020). Physiological and iTRAQ-based proteomic analyses reveal the mechanism of pinocembrin against Penicillium italicum through targeting mitochondria. Pesticide Biochemistry and Physiology. 167. 104534–104534. 11 indexed citations
13.
Fan, Ming, et al.. (2020). Radiogenomic signatures reveal multiscale intratumour heterogeneity associated with biological functions and survival in breast cancer. Nature Communications. 11(1). 4861–4861. 65 indexed citations
14.
15.
Fan, Ming, Yuanzhe Li, Shuo Zheng, et al.. (2019). Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network. Methods. 166. 103–111. 38 indexed citations
16.
17.
Alazmi, Meshari, et al.. (2018). A Slice-based C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 1999–2008. 1 indexed citations
18.
Fan, Ming, Hui Li, Shijian Wang, et al.. (2017). Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer. PLoS ONE. 12(2). e0171683–e0171683. 128 indexed citations
19.
Fan, Ming, Ting He, Peng Zhang, Juan Zhang, & Lihua Li. (2017). Heterogeneity of Diffusion-Weighted Imaging in Tumours and the Surrounding Stroma for Prediction of Ki-67 Proliferation Status in Breast Cancer. Scientific Reports. 7(1). 2875–2875. 39 indexed citations
20.
Fan, Ming, Ka‐Chun Wong, Taewoo Ryu, Timothy Ravasi, & Xin Gao. (2012). SECOM: A Novel Hash Seed and Community Detection Based-Approach for Genome-Scale Protein Domain Identification. PLoS ONE. 7(6). e39475–e39475. 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 Pegah Khosravi Breakdown of academic impact, for papers by Jenny L. Smith Breakdown of academic impact, for papers by Xin Zhen Breakdown of academic impact, for papers by Mingming Xiao Breakdown of academic impact, for papers by Yaping Wu Breakdown of academic impact, for papers by Zhenwei Shi Breakdown of academic impact, for papers by Ling Wei Breakdown of academic impact, for papers by Jia Wu Breakdown of academic impact, for papers by Zhen Zhang Breakdown of academic impact, for papers by Theodore Sakellaropoulos
Rankless by CCL
2026