Yanfen Cui

2.8k total citations · 2 hit papers
96 papers, 1.8k citations indexed

About

Yanfen Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Yanfen Cui has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Oncology and 15 papers in Artificial Intelligence. Recurrent topics in Yanfen Cui's work include Radiomics and Machine Learning in Medical Imaging (56 papers), Colorectal Cancer Surgical Treatments (18 papers) and MRI in cancer diagnosis (16 papers). Yanfen Cui is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (56 papers), Colorectal Cancer Surgical Treatments (18 papers) and MRI in cancer diagnosis (16 papers). Yanfen Cui collaborates with scholars based in China, United States and Japan. Yanfen Cui's co-authors include Xiaotang Yang, Xiaosong Du, Jialiang Ren, Wenhua Li, Zhao Yang, Caiting Chu, Zaiyi Liu, Zhenwei Shi, Zhenhui Li and Dandan Li and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yanfen Cui

89 papers receiving 1.8k citations

Hit Papers

MRI-based Quantification of Intratumoral Heterogeneity fo... 2022 2026 2023 2024 2023 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer
    2023 112 citations Zhenwei Shi, Zeyan Xu et al. profile →
  2. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study
    2022 108 citations Yanfen Cui, Jialiang Ren et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanfen Cui China 24 1.2k 561 333 333 207 96 1.8k
Yajia Gu China 26 1.3k 1.1× 393 0.7× 327 1.0× 303 0.9× 276 1.3× 129 1.9k
Elaine Johanna Limkin France 12 1.4k 1.1× 616 1.1× 578 1.7× 202 0.6× 242 1.2× 26 1.8k
Francesca Botta Italy 25 1.7k 1.4× 408 0.7× 622 1.9× 218 0.7× 134 0.6× 62 2.2k
Xinming Zhao China 17 1.0k 0.9× 252 0.4× 248 0.7× 213 0.6× 93 0.4× 51 1.3k
Zhenchao Tang China 15 1.3k 1.1× 405 0.7× 352 1.1× 202 0.6× 143 0.7× 31 1.5k
Carlos Cárdenas United States 26 1.3k 1.0× 208 0.4× 553 1.7× 336 1.0× 234 1.1× 134 2.3k
H. Madjar Germany 21 534 0.4× 300 0.5× 203 0.6× 284 0.9× 162 0.8× 76 1.6k
Zhaoxiang Ye China 29 2.6k 2.1× 544 1.0× 1.7k 5.1× 400 1.2× 278 1.3× 190 3.4k
Stefano Trebeschi Netherlands 16 1.1k 1.0× 534 1.0× 370 1.1× 201 0.6× 159 0.8× 47 1.5k

Countries citing papers authored by Yanfen Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yanfen Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfen Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Yanfen Cui. A scholar is included among the top collaborators of Yanfen Cui 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 Yanfen Cui. Yanfen Cui 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, Bingjiang, Shunli Liu, Cheng Lu, et al.. (2025). Multitask Deep Learning Based on Longitudinal CT Images Facilitates Prediction of Lymph Node Metastasis and Survival in Chemotherapy-Treated Gastric Cancer. Cancer Research. 85(13). 2527–2536. 2 indexed citations
2.
Feng, Siyang, Yanfen Cui, Lingqiao Li, et al.. (2025). Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. Knowledge-Based Systems. 317. 113451–113451. 1 indexed citations
3.
Yang, Lin, et al.. (2025). An innovative data-driven grey Bernoulli model for the port container throughput forecasting. Applied Mathematical Modelling. 154. 116709–116709.
4.
Liu, Zhenbing, Yanfen Cui, Xipeng Pan, et al.. (2025). Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. Expert Systems with Applications. 269. 126364–126364. 1 indexed citations
5.
Yang, Xiaotang, et al.. (2024). A novel GAN-based three-axis mutually supervised super-resolution reconstruction method for rectal cancer MR image. Computer Methods and Programs in Biomedicine. 257. 108426–108426. 2 indexed citations
6.
Chen, Zhihong, Yanfen Cui, Suyun Li, et al.. (2024). ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. Biomedical Signal Processing and Control. 96. 106500–106500. 9 indexed citations
7.
Zhang, Kenan, Xiaotang Yang, Yanfen Cui, Jumin Zhao, & Dengao Li. (2024). Imaging segmentation mechanism for rectal tumors using improved U-Net. BMC Medical Imaging. 24(1). 95–95. 3 indexed citations
8.
Zhao, Chen, Xiao Wang, Jin Liu, et al.. (2024). Zircon U-Pb-Hf isotopes and geochemistry of Neoarchean TTG gneisses in the Guyang area of the Yinshan Block: Constraints on petrogenesis and tectonic implications. Acta Petrologica Sinica. 40(11). 3465–3483. 1 indexed citations
9.
10.
Zhang, Junjie, et al.. (2024). Preoperative MRI Features Associated With Axillary Nodal Burden and Disease-Free Survival in Patients With Early-Stage Breast Cancer. Korean Journal of Radiology. 25(9). 788–788. 2 indexed citations
11.
Wang, Dan, Chu Han, Zhen Zhang, et al.. (2024). FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. Computer Methods and Programs in Biomedicine. 249. 108141–108141. 8 indexed citations
12.
13.
Li, Dengao, Jicheng Yang, Jumin Zhao, et al.. (2023). RTAU-Net: A novel 3D rectal tumor segmentation model based on dual path fusion and attentional guidance. Computer Methods and Programs in Biomedicine. 242. 107842–107842. 3 indexed citations
14.
Ye, Huifen, Yi‐Ting Wang, Tong Tong, et al.. (2023). Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence‐based digital pathology analysis. SHILAP Revista de lepidopterología. 1(1). 30–43. 10 indexed citations
15.
Xu, Zeyan, Yu Xie, Yanfen Cui, et al.. (2023). Joint-phase attention network for breast cancer segmentation in DCE-MRI. Expert Systems with Applications. 224. 119962–119962. 23 indexed citations
16.
Lin, Jiatai, Guoqiang Han, Xipeng Pan, et al.. (2022). PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. IEEE Transactions on Medical Imaging. 41(9). 2252–2262. 39 indexed citations
17.
18.
Zhang, Na, Haibo Yu, Qin Zhang, et al.. (2017). CXCR7/CXCL12 axis is involved in lymph node and liver metastasis of gastric carcinoma. World Journal of Gastroenterology. 23(17). 3053–3053. 20 indexed citations
19.
Zhang, Danfang, Baocun Sun, Xiulan Zhao, et al.. (2011). Mouse Model for Spontaneous Basal-Like Breast Cancer. Clinical Oncology and Cancer Research. 38(18). 1149–1153. 1 indexed citations
20.
Cui, Yanfen, Shaoyan Xu, Yanjun Gu, et al.. (2009). Effects of FGF-1 and FGFR1 on the Genesis of Spontaneous Breast Cancer in TA2 Mice. Clinical Oncology and Cancer Research. 36(3). 168–171. 3 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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