Lin Lü

4.0k total citations · 1 hit paper
105 papers, 2.9k citations indexed

About

Lin Lü is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Lin Lü has authored 105 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Molecular Biology and 23 papers in Oncology. Recurrent topics in Lin Lü's work include Radiomics and Machine Learning in Medical Imaging (34 papers), Machine Learning in Bioinformatics (17 papers) and Advanced X-ray and CT Imaging (17 papers). Lin Lü is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (34 papers), Machine Learning in Bioinformatics (17 papers) and Advanced X-ray and CT Imaging (17 papers). Lin Lü collaborates with scholars based in China, United States and France. Lin Lü's co-authors include Binsheng Zhao, Lawrence H. Schwartz, Yongqiang Tan, Yu‐Dong Cai, Laurent Dercle, Wei‐Yann Tsai, Jing Qi, Chuanmiao Xie, Waldyn G. Martinez and Lei Chen and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Lin Lü

100 papers receiving 2.9k citations

Hit Papers

Reproducibility of radiomics for deciphering tumor phenot... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Lü China 29 1.8k 840 629 603 476 105 2.9k
Ruijiang Li United States 43 3.1k 1.8× 1.7k 2.0× 931 1.5× 540 0.9× 943 2.0× 153 5.3k
Yuan Ji United States 30 1.2k 0.7× 582 0.7× 181 0.3× 924 1.5× 872 1.8× 154 3.9k
Jongphil Kim United States 32 1.2k 0.7× 1.1k 1.3× 447 0.7× 610 1.0× 914 1.9× 173 3.6k
Cary Oberije Netherlands 31 1.8k 1.0× 1.7k 2.0× 296 0.5× 224 0.4× 591 1.2× 75 3.2k
Rickmer Braren Germany 29 1.2k 0.7× 308 0.4× 527 0.8× 571 0.9× 573 1.2× 131 3.5k
Johan van Soest Netherlands 22 4.2k 2.4× 1.7k 2.0× 1.1k 1.8× 145 0.2× 998 2.1× 79 5.3k
Francesco C. Stingo United States 30 1.5k 0.8× 871 1.0× 678 1.1× 644 1.1× 273 0.6× 90 3.2k
M.M. Matuszak United States 31 1.6k 0.9× 1.6k 1.9× 350 0.6× 125 0.2× 401 0.8× 169 3.1k
Erich P. Huang United States 16 1.7k 0.9× 978 1.2× 315 0.5× 296 0.5× 974 2.0× 38 3.1k
Ying Xiao United States 37 3.7k 2.1× 3.4k 4.1× 1.2k 1.9× 206 0.3× 435 0.9× 240 6.5k

Countries citing papers authored by Lin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Lin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Lü. A scholar is included among the top collaborators of Lin Lü 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 Lü. Lin Lü 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.
Liu, Yi, et al.. (2025). A hybrid model of machine learning for classifying household water-consumption behaviors. Cleaner and Responsible Consumption. 16. 100252–100252. 1 indexed citations
2.
Sun, Yue, Liang Wang, Ming Wang, et al.. (2025). Spectral Photon-Counting Detector Coronary CTA With Reduced Radiation and Contrast Medium Dose in Inflammation-Associated Coronary Artery Disease: A Prospective Study. American Journal of Roentgenology. 225(6). e2533493–e2533493.
3.
Lü, Lin & Rongchan Zhu. (2024). Stationary solutions to stochastic 3D Euler equations in Hölder space. Stochastic Processes and their Applications. 177. 104465–104465. 1 indexed citations
4.
Ibrahim, Abdalla, Peng Geng, Hao Yang, et al.. (2024). Machine learning-based identification of contrast-enhancement phase of computed tomography scans. PLoS ONE. 19(2). e0294581–e0294581. 1 indexed citations
5.
Li, Xiao, Kaini Shen, Sisi Huang, et al.. (2024). Comprehensive prognosis assessment of cardiovascular magnetic resonance parametric mapping in light chain amyloidosis. Journal of Cardiovascular Magnetic Resonance. 27(1). 101135–101135. 2 indexed citations
6.
Jia, Xiaoyue, Lin Lü, Chenxi Xu, et al.. (2024). Multi-center Dose Prediction Using Attention-aware Deep learning Algorithm Based on Transformers for Cervical Cancer Radiotherapy. Clinical Oncology. 36(7). e209–e223. 1 indexed citations
7.
Li, Yanyu, Lin Lü, Jian Wang, et al.. (2023). Cardiac cine with compressed sensing real-time imaging and retrospective motion correction for free-breathing assessment of left ventricular function and strain in clinical practice. Quantitative Imaging in Medicine and Surgery. 13(4). 2262–2277. 3 indexed citations
8.
Lü, Lin, et al.. (2023). Cost-Effectiveness of Dapagliflozin in Heart Failure with Preserved or Mildly Reduced Ejection Fraction: the DELIVER Trial. Cardiovascular Drugs and Therapy. 39(2). 297–305. 1 indexed citations
9.
Mao, Chenhui, Jie Li, Jie Wang, et al.. (2022). Typical and atypical phenotype and neuroimaging of X-linked adrenoleukodystrophy in a Chinese cohort. Neurological Sciences. 43(5). 3255–3263. 3 indexed citations
10.
Cui, Yunying, Yinjie Gao, Xiaoyan Chang, et al.. (2021). Local-Regional Recurrence of Pheochromocytoma/Paraganglioma: Characteristics, Risk Factors and Outcomes. Frontiers in Endocrinology. 12. 762548–762548. 12 indexed citations
11.
Xu, Yan, Lin Lü, Shawn Sun, et al.. (2021). Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes. European Radiology. 32(3). 1517–1527. 23 indexed citations
12.
Liu, Peijun, Lin Lü, Yechen Han, et al.. (2021). Quantitative analysis of late iodine enhancement using dual-layer spectral detector computed tomography: comparison with magnetic resonance imaging. Quantitative Imaging in Medicine and Surgery. 12(1). 310–320. 11 indexed citations
13.
Lü, Lin, Laurent Dercle, Binsheng Zhao, & Lawrence H. Schwartz. (2021). Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging. Nature Communications. 12(1). 6654–6654. 63 indexed citations
14.
Dercle, Laurent, Matthew Fronheiser, Lin Lü, et al.. (2020). Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics. Clinical Cancer Research. 26(9). 2151–2162. 128 indexed citations
15.
Lü, Lin, Shawn Sun, Hao Yang, et al.. (2020). Radiomics Prediction of EGFR Status in Lung Cancer—Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data. Tomography. 6(2). 223–230. 27 indexed citations
16.
Linning, E, Lin Lü, Li Li, et al.. (2018). Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography. Academic Radiology. 26(9). 1245–1252. 67 indexed citations
17.
Wang, Hao, Bo Hou, Lin Lü, et al.. (2017). PET/MRI in the Diagnosis of Hormone-Producing Pituitary Microadenoma: A Prospective Pilot Study. Journal of Nuclear Medicine. 59(3). 523–528. 47 indexed citations
18.
Kalpathy–Cramer, Jayashree, Binsheng Zhao, Lin Lü, et al.. (2016). Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. Tomography. 2(4). 430–437. 96 indexed citations
19.
Lü, Lin, Yongqiang Tan, Lawrence H. Schwartz, & Binsheng Zhao. (2015). Hybrid detection of lung nodules on CT scan images. Medical Physics. 42(9). 5042–5054. 55 indexed citations
20.
Lü, Lin, Danfeng Zhang, Lei Li, & Jun Zhao. (2011). Fully Automated Colon Segmentation for the Computation of Complete Colon Centerline in Virtual Colonoscopy. IEEE Transactions on Biomedical Engineering. 59(4). 996–1004. 13 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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