Lin‐Feng Yan

1.9k total citations
59 papers, 1.3k citations indexed

About

Lin‐Feng Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Lin‐Feng Yan has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Cognitive Neuroscience and 15 papers in Genetics. Recurrent topics in Lin‐Feng Yan's work include Glioma Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Functional Brain Connectivity Studies (12 papers). Lin‐Feng Yan is often cited by papers focused on Glioma Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Functional Brain Connectivity Studies (12 papers). Lin‐Feng Yan collaborates with scholars based in China and United States. Lin‐Feng Yan's co-authors include Guangbin Cui, Wen Wang, Yu‐Chuan Hu, Yu Han, Hai‐Yan Nan, Ying Yu, Bo Hu, Qiang Tian, Yang Yang and Ying‐Zhi Sun and has published in prestigious journals such as NeuroImage, Scientific Reports and Neuroscience.

In The Last Decade

Lin‐Feng Yan

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin‐Feng Yan China 20 784 425 292 164 159 59 1.3k
Yu‐Chuan Hu China 18 779 1.0× 396 0.9× 263 0.9× 131 0.8× 111 0.7× 32 1.2k
Hai‐Yan Nan China 13 468 0.6× 290 0.7× 223 0.8× 118 0.7× 71 0.4× 26 837
Daoying Geng China 23 844 1.1× 548 1.3× 177 0.6× 257 1.6× 124 0.8× 142 1.8k
Moran Artzi Israel 21 760 1.0× 348 0.8× 144 0.5× 155 0.9× 225 1.4× 60 1.3k
Gianluca Brugnara Germany 11 424 0.5× 209 0.5× 129 0.4× 134 0.8× 54 0.3× 32 778
Chia‐Feng Lu Taiwan 18 554 0.7× 174 0.4× 193 0.7× 175 1.1× 212 1.3× 71 1.1k
Annette Förschler Germany 23 821 1.0× 323 0.8× 348 1.2× 380 2.3× 287 1.8× 43 2.4k
Siamak P. Nejad‐Davarani United States 19 608 0.8× 193 0.5× 193 0.7× 101 0.6× 34 0.2× 44 1.3k
Barbara Bobek‐Billewicz Poland 15 289 0.4× 205 0.5× 131 0.4× 108 0.7× 51 0.3× 66 790

Countries citing papers authored by Lin‐Feng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Feng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin‐Feng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin‐Feng Yan. A scholar is included among the top collaborators of Lin‐Feng 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 Lin‐Feng Yan. Lin‐Feng Yan 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.
Hu, Bo, Ying Yu, Xiaofeng Yu, et al.. (2025). Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes. Nutrition and Diabetes. 15(1). 1–1.
2.
Yu, Ying, Gangfeng Li, Tao Zhang, et al.. (2025). Towards automatical tumor segmentation in radiomics: a comparative analysis of various methods and radiologists for both region extraction and downstream diagnosis. BMC Medical Imaging. 25(1). 63–63. 2 indexed citations
4.
Yu, Ying, Bo Hu, Xiaofeng Yu, et al.. (2025). Neurovascular decoupling of frontoparietal cortex-putamen-cerebellum network in type 2 diabetes patient: Potential biomarker for abnormal eating patterns. Diabetes Research and Clinical Practice. 224. 112175–112175.
6.
Yu, Ying, Qian Sun, Yang Yang, et al.. (2024). Abnormal changes of brain function and structure in patients with T2DM-related cognitive impairment: a neuroimaging meta-analysis and an independent validation. Nutrition and Diabetes. 14(1). 91–91. 2 indexed citations
7.
Yu, Ying, Yu Han, Wan Jiang, et al.. (2024). The Diagnostic Value of Conventional MRI Combined With Diffusion‐Weighted Imaging in Microprolactinomas. Journal of Magnetic Resonance Imaging. 61(3). 1155–1167.
9.
Li, Yuting, Bo Hu, Ying Yu, et al.. (2023). Functional to structural plasticity in unilateral sudden sensorineural hearing loss: neuroimaging evidence. NeuroImage. 283. 120437–120437. 8 indexed citations
10.
Yu, Ying, Yang Yang, Qian Sun, et al.. (2023). Commonalities and distinctions between the type 2 diabetes mellitus and Alzheimer’s disease: a systematic review and multimodal neuroimaging meta-analysis. Frontiers in Neuroscience. 17. 1301778–1301778. 4 indexed citations
11.
Feng, Dan, Wen Wang, Lin‐Feng Yan, et al.. (2022). α-Subunit Tyrosine Phosphorylation Is Required for Activation of the Large Conductance Ca2+-Activated Potassium Channel in the Rabbit Sphincter of Oddi. American Journal Of Pathology. 192(12). 1725–1744. 2 indexed citations
12.
Chen, Zhuhong, Yuting Li, Chi Zhang, et al.. (2022). The brain structure and function abnormalities of migraineurs: A systematic review and neuroimaging meta-analysis. Frontiers in Neurology. 13. 1022793–1022793. 14 indexed citations
13.
Yan, Lin‐Feng, et al.. (2021). Incidence of Cerebral Infarction in Northwest China From 2009 to 2018. Cureus. 13(8). e17576–e17576. 4 indexed citations
16.
Hu, Bo, Lin‐Feng Yan, Qian Sun, et al.. (2019). Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis. NeuroImage Clinical. 22. 101802–101802. 67 indexed citations
17.
Yan, Lin‐Feng, Ying‐Zhi Sun, Shasha Zhao, et al.. (2019). <p>Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?</p>. Cancer Management and Research. Volume 11. 9989–10000. 10 indexed citations
18.
Hu, Bo, Ying Yu, Yujie Dai, et al.. (2019). Multi-modal MRI Reveals the Neurovascular Coupling Dysfunction in Chronic Migraine. Neuroscience. 419. 72–82. 37 indexed citations
19.
Yang, Yang, Lin‐Feng Yan, Xin Zhang, et al.. (2018). Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning. Frontiers in Neuroscience. 12. 804–804. 210 indexed citations
20.
Zhao, Ge, Hai‐Yan Nan, Lin‐Feng Yan, et al.. (2013). Remifentanil protects liver against ischemia/reperfusion injury through activation of anti-apoptotic pathways. Journal of Surgical Research. 183(2). 827–834. 32 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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