Fan Lin

1.9k total citations
80 papers, 1.2k citations indexed

About

Fan Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Fan Lin has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 13 papers in Biomedical Engineering. Recurrent topics in Fan Lin's work include Radiomics and Machine Learning in Medical Imaging (29 papers), MRI in cancer diagnosis (16 papers) and Advanced X-ray and CT Imaging (12 papers). Fan Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), MRI in cancer diagnosis (16 papers) and Advanced X-ray and CT Imaging (12 papers). Fan Lin collaborates with scholars based in China, Hong Kong and Netherlands. Fan Lin's co-authors include Lei Yi, Hanwen Zhang, Enming Cui, Juan Yu, Huan Chen, Li-hong Liang, Hua-jian Xu, Siping Luo, Ning Mao and Hong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Clinical Cancer Research.

In The Last Decade

Fan Lin

71 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fan Lin China	19	740	295	207	188	143	80	1.2k
Nan Hong China	26	1.2k 1.7×	289 1.0×	299 1.4×	125 0.7×	220 1.5×	126	2.4k
Andreas Saleh Germany	20	355 0.5×	161 0.5×	216 1.0×	181 1.0×	42 0.3×	31	1.7k
Chen Gao China	17	342 0.5×	393 1.3×	76 0.4×	50 0.3×	72 0.5×	68	1.1k
Hye Jung Kim South Korea	23	680 0.9×	232 0.8×	75 0.4×	210 1.1×	32 0.2×	111	1.5k
Fajin Lv China	21	558 0.8×	508 1.7×	205 1.0×	61 0.3×	80 0.6×	114	1.6k
Matthew P. Johnson United States	17	333 0.5×	141 0.5×	180 0.9×	66 0.4×	32 0.2×	50	908
Sun‐Won Park South Korea	28	509 0.7×	259 0.9×	82 0.4×	39 0.2×	92 0.6×	80	1.8k
Jennifer Bullen United States	20	434 0.6×	434 1.5×	159 0.8×	56 0.3×	19 0.1×	80	1.4k
Marcel Koenigkam Santos Brazil	19	433 0.6×	453 1.5×	113 0.5×	92 0.5×	30 0.2×	73	1.0k
Frank Gaillard Australia	19	548 0.7×	202 0.7×	125 0.6×	76 0.4×	13 0.1×	99	1.4k

Countries citing papers authored by Fan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Fan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Lin. A scholar is included among the top collaborators of Fan Lin 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 Fan Lin. Fan Lin 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

Dong, Xue, et al.. (2025). Development and Validation of an Early Recurrence Prediction Model for High-Grade Glioma Integrating Temporalis Muscle and Tumor Features: Exploring the Prognostic Value of Temporalis Muscle. Journal of Imaging Informatics in Medicine. 39(1). 468–483. 1 indexed citations

Mao, Ning, Yi Dai, Fan Lin, et al.. (2025). A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer. Science Advances. 11(18). eadr1576–eadr1576. 4 indexed citations

Yang, Yating, et al.. (2025). Diagnostic value of serum miRNA-134-3p and miRNA-155-5p for monitoring seizure control in pediatric epilepsy. Brain and Development. 47(3). 104357–104357.

Lin, Fan, et al.. (2024). Genetic effect of basal metabolic rate on the benign neoplasm of bone and articular cartilage: a Mendelian randomization study. Frontiers in Oncology. 14. 1446310–1446310.

Feng, Bao, Yu Liu, Qinghui Hu, et al.. (2024). Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images. Heliyon. 10(3). e25655–e25655. 3 indexed citations

Zhang, Haicheng, Fan Lin, Tiantian Zheng, et al.. (2024). Artificial intelligence-based classification of breast lesion from contrast enhanced mammography: a multicenter study. International Journal of Surgery. 110(5). 2593–2603. 5 indexed citations

Liu, Jiaman, et al.. (2024). Mechanism of the wine pomace tannin in hyperpigmentation inhibition: Impact on signaling pathways, cell proliferation, and tyrosinase activity. International Journal of Biological Macromolecules. 277(Pt 2). 134052–134052. 2 indexed citations

Zhou, Heng, Zhen Hua, Jing Gao, et al.. (2023). Multitask Deep Learning‐Based Whole‐Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast‐Enhanced‐MRI: A Multicenter Study. Journal of Magnetic Resonance Imaging. 59(5). 1710–1722. 8 indexed citations

Lin, Fan, et al.. (2023). Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists. European Journal of Radiology. 169. 111169–111169. 2 indexed citations

10.

Lin, Fan, et al.. (2023). Research Progress on Amide Proton Transfer Imaging inPreoperative and Postoperative Glioma Assessment. Current Medical Imaging Formerly Current Medical Imaging Reviews. 19(9). 971–976.

11.

Zhou, Tao, Jian Guan, Bao Feng, et al.. (2023). Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategies. European Radiology. 33(6). 4323–4332. 9 indexed citations

12.

Jiang, Jun, et al.. (2023). The efficacy of preoperative MRI features in the diagnosis of meningioma WHO grade and brain invasion. Frontiers in Oncology. 12. 1100350–1100350. 4 indexed citations

13.

Zhang, Kun, Jun Lin, Fan Lin, et al.. (2023). Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer. Journal of X-Ray Science and Technology. 31(4). 669–683. 5 indexed citations

14.

Zheng, Tiantian, Fan Lin, Xianglin Li, et al.. (2023). Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study. EClinicalMedicine. 58. 101913–101913. 23 indexed citations

15.

Tu, Ning, Feng Sun, Zhi Wen, et al.. (2021). Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy. Journal of Magnetic Resonance Imaging. 54(4). 1212–1221. 19 indexed citations

16.

Cui, Enming, Qing Li, Yingjie Mei, et al.. (2020). Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluation. Abdominal Radiology. 45(11). 3681–3689. 3 indexed citations

17.

Yu, Juan, Fanfan Chen, Hanwen Zhang, et al.. (2020). Comparative Analysis of the MRI Characteristics of Meningiomas According to the 2016 WHO Pathological Classification. Technology in Cancer Research & Treatment. 19. 1079250935–1079250935. 9 indexed citations

18.

Cui, Enming, Fan Lin, Li Q, et al.. (2019). Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features. Acta Radiologica. 60(11). 1543–1552. 44 indexed citations

19.

Lin, Fan, et al.. (2018). Altered baseline activity and connectivity associated with cognitive impairment following acute cerebellar infarction: A resting-state fMRI study. Neuroscience Letters. 692. 199–203. 27 indexed citations

20.

Lin, Fan, Serena Marchetti, Dick Pluim, et al.. (2013). Abcc4 Together with Abcb1 and Abcg2 Form a Robust Cooperative Drug Efflux System That Restricts the Brain Entry of Camptothecin Analogues. Clinical Cancer Research. 19(8). 2084–2095. 38 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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