Lifen Yan

523 total citations
14 papers, 428 citations indexed

About

Lifen Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Lifen Yan has authored 14 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Lifen Yan's work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Lifen Yan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Lifen Yan collaborates with scholars based in China, Spain and United States. Lifen Yan's co-authors include Zaiyi Liu, Changhong Liang, Yanqi Huang, Yubao Liu, Guangyi Wang, Xian-Zheng Tan, Weitao Ye, Xin Chen, Zelan Ma and Zaiyi Liu and has published in prestigious journals such as Radiology, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Lifen Yan

12 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lifen Yan China 8 356 167 124 99 39 14 428
Joshua Shur United Kingdom 7 258 0.7× 105 0.6× 54 0.4× 81 0.8× 70 1.8× 24 339
Qiuying Yao China 12 342 1.0× 111 0.7× 140 1.1× 36 0.4× 17 0.4× 25 465
Gumuyang Zhang China 14 410 1.2× 288 1.7× 172 1.4× 78 0.8× 121 3.1× 45 559
Shahab Shayesteh United States 9 267 0.8× 82 0.5× 87 0.7× 260 2.6× 49 1.3× 18 383
Nobuki Imano Japan 12 175 0.5× 188 1.1× 139 1.1× 67 0.7× 34 0.9× 70 378
Huashan Lin China 10 164 0.5× 76 0.5× 42 0.3× 55 0.6× 45 1.2× 34 328
Alessia Farneti Italy 11 200 0.6× 135 0.8× 80 0.6× 53 0.5× 26 0.7× 45 403
Yuki Arita Japan 12 177 0.5× 191 1.1× 147 1.2× 46 0.5× 15 0.4× 44 353
Jan van Lanschot Netherlands 6 233 0.7× 189 1.1× 139 1.1× 40 0.4× 36 0.9× 13 386
Kohei Sasaguri Japan 8 193 0.5× 229 1.4× 94 0.8× 25 0.3× 59 1.5× 12 332

Countries citing papers authored by Lifen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lifen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lifen Yan

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

All Works

14 of 14 papers shown
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Huang, Haitao, Wei Xu, Lili Feng, et al.. (2025). Development and evaluation of the mrTE scoring system for MRI-detected tumor deposits and extramural venous invasion in rectal cancer. Abdominal Radiology. 50(9). 3950–3961. 2 indexed citations
4.
Yan, Lifen, Raymond Y. Huang, Shu‐Ting Chen, Jiawei Chen, & Jinglei Li. (2024). Imaging findings of primary hepatic leiomyosarcoma: a case report and literature review. Frontiers in Oncology. 14. 1490717–1490717. 1 indexed citations
5.
Xu, Zeyan, et al.. (2024). Assessing Axillary Lymph Node Burden and Prognosis in cT1‐T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual‐Institutional MRI Study. Journal of Magnetic Resonance Imaging. 61(3). 1221–1231. 2 indexed citations
6.
Li, Jinglei, et al.. (2020). Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors. Diagnostic and Interventional Radiology. 26(4). 264–270. 1 indexed citations
7.
Yan, Lifen, et al.. (2020). A preoperative radiomics model for the identification of lymph node metastasis in patients with early-stage cervical squamous cell carcinoma. British Journal of Radiology. 93(1116). 20200358–20200358. 14 indexed citations
8.
Tan, Xian-Zheng, Zelan Ma, Lifen Yan, et al.. (2018). Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma. European Radiology. 29(1). 392–400. 85 indexed citations
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Wu, Lei, Cong Wang, Xian-Zheng Tan, et al.. (2018). Radiomics approach for preoperative identification of stages I−II and III−IV of esophageal cancer. Chinese Journal of Cancer Research. 30(4). 396–405. 56 indexed citations
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Yan, Lifen, et al.. (2015). Angiomyolipoma with Minimal Fat. Academic Radiology. 22(9). 1115–1121. 85 indexed citations
13.
Huang, Yanqi, Xin Chen, Zhongping Zhang, et al.. (2014). MRI quantification of non‐Gaussian water diffusion in normal human kidney: a diffusional kurtosis imaging study. NMR in Biomedicine. 28(2). 154–161. 59 indexed citations
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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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