Liyan Lin

587 total citations
27 papers, 366 citations indexed

About

Liyan Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liyan Lin has authored 27 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liyan Lin's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (7 papers) and Medical Imaging and Analysis (7 papers). Liyan Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (7 papers) and Medical Imaging and Analysis (7 papers). Liyan Lin collaborates with scholars based in China, Canada and Australia. Liyan Lin's co-authors include Qianjin Feng, Wei Yang, Zhentai Lu, Wufan Chen, Shumao Pang, Zhihai Su, Hai Lü, Lei Zhao, Liming Zhong and Yunbi Liu and has published in prestigious journals such as Nature Communications, PLoS ONE and Optics Letters.

In The Last Decade

Liyan Lin

24 papers receiving 359 citations

Peers

Liyan Lin

RNMI

CVPR

PRM

Paul Desbordes France

Keewon Shin South Korea

David Laidley Canada

Viviana Benfante Italy

Weigang Hu China

Ran Gu China

Ashley Mercado Canada

Ping Xing China

Fereshteh Yousefirizi Canada

Laia Valls United States

Paul Desbordes France

Liyan Lin

285 ×1.8

RNMI

71 ×0.5

41 ×0.5

CVPR

104 ×1.6

PRM

142 ×2.4

Citations per year, relative to Liyan Lin Liyan Lin (= 1×) peers Paul Desbordes

Countries citing papers authored by Liyan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Liyan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyan Lin

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

Lin, Liyan, et al.. (2026). A protein-triggered and base-mismatch-accelerated Strand displacement reaction for alpha-fetoprotein detection. Microchemical Journal. 221. 116722–116722.

Lin, Liyan, et al.. (2025). A constraint-attention enhancement network for clinical nuclei segmentation. Biomedical Signal Processing and Control. 109. 107917–107917.

Fu, Meiting, Yu‐Yu Lin, Junyao Yang, et al.. (2024). Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer. Gastric Cancer. 27(6). 1242–1257. 2 indexed citations

Wang, Jianchao, Liyan Lin, Xuan Gao, et al.. (2023). Collagen-related gene expression level predicts the prognosis and immune therapy response. Gastric Cancer. 26(6). 891–903. 7 indexed citations

Zhong, Jing, et al.. (2023). Semi-supervised nuclei segmentation based on multi-edge features fusion attention network. PLoS ONE. 18(5). e0286161–e0286161. 3 indexed citations

Chen, Dexin, Jianbo Lai, Jiaxin Cheng, et al.. (2023). Predicting peritoneal recurrence in gastric cancer with serosal invasion using a pathomics nomogram. iScience. 26(3). 106246–106246. 15 indexed citations

Zhao, Zhen, et al.. (2023). Radio sources segmentation and classification with deep learning. Astronomy and Computing. 44. 100728–100728. 7 indexed citations

Lin, Liyan, et al.. (2022). A Fair Subcarrier Activation Method for OFDM-Index Modulation System. 39–43. 1 indexed citations

Shi, Peng, et al.. (2022). Nuclei segmentation of HE stained histopathological images based on feature global delivery connection network. PLoS ONE. 17(9). e0273682–e0273682. 5 indexed citations

10.

Chen, Dexin, Meiting Fu, Liangjie Chi, et al.. (2022). Prognostic and predictive value of a pathomics signature in gastric cancer. Nature Communications. 13(1). 6903–6903. 79 indexed citations

11.

Tao, Xi, et al.. (2021). Learning to Reconstruct CT Images From the VVBP-Tensor. IEEE Transactions on Medical Imaging. 40(11). 3030–3041. 13 indexed citations

12.

Lin, Liyan, Xi Tao, Wei Yang, et al.. (2021). Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE Journal of Biomedical and Health Informatics. 25(8). 2978–2987. 7 indexed citations

13.

Pang, Shumao, Zhihai Su, Liyan Lin, et al.. (2021). DGMSNet: Spine segmentation for MR image by a detection-guided mixed-supervised segmentation network. Medical Image Analysis. 75. 102261–102261. 44 indexed citations

14.

Li, Pengcheng, et al.. (2021). Transmission Mueller matrix imaging with spatial filtering. Optics Letters. 46(16). 4009–4009. 7 indexed citations

15.

Lin, Liyan, Xi Tao, Shumao Pang, et al.. (2020). Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. IEEE Journal of Biomedical and Health Informatics. 24(11). 3248–3257. 10 indexed citations

16.

Zhong, Liming, Yanlin Chen, Xiao Zhang, et al.. (2019). Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction. IEEE Journal of Biomedical and Health Informatics. 24(4). 1114–1124. 10 indexed citations

17.

Pang, Shumao, Qianjin Feng, Zhentai Lu, et al.. (2019). Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding. IEEE Transactions on Medical Imaging. 38(10). 2271–2280. 24 indexed citations

18.

Zhong, Liming, Liyan Lin, Zhentai Lu, et al.. (2016). Predict CT image from MRI data using KNN-regression with learned local descriptors. 743–746. 13 indexed citations

19.

Lin, Liyan. (2001). Research on Shaking Table Test of Building with Added Floors and Using Friction and Energy-dissipation Devices. 2 indexed citations

20.

Wang, Qingxiang, et al.. (1995). Ductility of high strength reinforced concrete columns. Nuclear Engineering and Design. 156(1-2). 75–81. 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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