Jiangli Lin

567 total citations
48 papers, 393 citations indexed

About

Jiangli Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiangli Lin has authored 48 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiangli Lin's work include AI in cancer detection (14 papers), Medical Image Segmentation Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Jiangli Lin is often cited by papers focused on AI in cancer detection (14 papers), Medical Image Segmentation Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Jiangli Lin collaborates with scholars based in China, United States and Italy. Jiangli Lin's co-authors include Ke Chen, Yulan Peng, Lin Han, Heqing Zhang, Lin Han, Yan Zhuang, Ke Chen, Xingdong Zhang, Tianfu Wang and Lan Wang and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Acta Biomaterialia.

In The Last Decade

Jiangli Lin

42 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangli Lin China 11 124 104 90 70 55 48 393
Zengmin Tian China 13 145 1.2× 102 1.0× 127 1.4× 58 0.8× 101 1.8× 29 569
Christian Jaremenko Germany 8 92 0.7× 117 1.1× 60 0.7× 19 0.3× 31 0.6× 12 355
Min Kyoung Lee South Korea 16 189 1.5× 35 0.3× 44 0.5× 52 0.7× 17 0.3× 48 618
Xuzhu Chen China 13 257 2.1× 35 0.3× 35 0.4× 60 0.9× 53 1.0× 40 525
Neda Haj‐Hosseini Sweden 13 171 1.4× 32 0.3× 285 3.2× 150 2.1× 24 0.4× 36 495
Nishant Verma United States 10 169 1.4× 9 0.1× 132 1.5× 97 1.4× 29 0.5× 31 599
Fan Song China 15 369 3.0× 93 0.9× 306 3.4× 100 1.4× 59 1.1× 52 904
Philippe Pouletaut France 12 48 0.4× 26 0.3× 161 1.8× 10 0.1× 31 0.6× 43 381
Xuejun Liu China 14 156 1.3× 15 0.1× 39 0.4× 111 1.6× 16 0.3× 61 603
Michael Baker United States 12 17 0.1× 27 0.3× 64 0.7× 142 2.0× 16 0.3× 34 455

Countries citing papers authored by Jiangli Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiangli Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangli Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangli Lin. A scholar is included among the top collaborators of Jiangli 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 Jiangli Lin. Jiangli Lin 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.
Cao, Quanle, Jing Wang, Xuening Chen, et al.. (2025). Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach. Biomaterials. 321. 123348–123348. 4 indexed citations
2.
Zhuang, Yan, Lin Han, Zhan Hua, et al.. (2025). Breast tumor detection in ultrasound images with anatomical prior knowledge. Image and Vision Computing. 162. 105724–105724.
3.
Weng, Xuchu, et al.. (2025). Unsupervised visual similarity-based medical image retrieval via dual-encoder and metric learning. Neurocomputing. 634. 129861–129861.
4.
Li, Cheng, et al.. (2024). Feature Selection and Classification Technique for Predicting Lymph Node Metastasis of Papillary Thyroid Carcinoma. Journal of Computational Biophysics and Chemistry. 23(6). 801–814. 1 indexed citations
5.
Zhang, Jixin, Yan Zhuang, Xiangfeng Li, et al.. (2024). Inverse design of skull osteoinductive implants with multi-level pore structures through machine learning. Journal of Materials Chemistry B. 12(39). 9991–10003. 1 indexed citations
6.
Zhuang, Yan, Heng Zhang, Zhan Hua, et al.. (2024). Time-hybrid OSAformer (THO): A hybrid temporal sequence transformer for accurate detection of obstructive sleep apnea via single-lead ECG signals. Computer Methods and Programs in Biomedicine. 260. 108558–108558. 1 indexed citations
7.
Wang, Rui, Lin Han, Ke Chen, et al.. (2024). Three-dimensional visualization of thyroid ultrasound images based on multi-scale features fusion and hierarchical attention. BioMedical Engineering OnLine. 23(1). 31–31. 3 indexed citations
8.
Zhuang, Yan, Xiangfeng Li, Ke Chen, et al.. (2023). Unveiling protein corona composition: predicting with resampling embedding and machine learning. Regenerative Biomaterials. 11. rbad082–rbad082. 4 indexed citations
9.
Wang, X., Yan Zhuang, Lin Han, et al.. (2023). A Hierarchical Siamese Network for Noninvasive Staging of Liver Fibrosis Based on US Image Pairs of the Liver and Spleen. Sensors. 23(12). 5450–5450. 2 indexed citations
10.
Zhang, Heqing, Lin Han, Ke Chen, et al.. (2023). 2S-BUSGAN: A Novel Generative Adversarial Network for Realistic Breast Ultrasound Image with Corresponding Tumor Contour Based on Small Datasets. Sensors. 23(20). 8614–8614. 2 indexed citations
12.
Lin, Jiangli, et al.. (2023). Skin cancer image recognition based on similarity clustering and attention transfer. Journal of X-Ray Science and Technology. 31(2). 337–355. 1 indexed citations
13.
Li, Xing, Zhulian Li, Peilei Wang, et al.. (2023). Dopamine‐Integrated Nanointerface between Fibrillar Matrix and Hydrophilic Nanohydroxyapatite Regulates Immune Microenvironment to Boost Endogenous Bone Regeneration. Advanced Functional Materials. 33(16). 35 indexed citations
14.
Wang, Tong, Chen Lin, Lin Han, et al.. (2023). Intelligent Diagnosis of Multiple Peripheral Retinal Lesions in Ultra-widefield Fundus Images Based on Deep Learning. Ophthalmology and Therapy. 12(2). 1081–1095. 4 indexed citations
15.
Zhang, Li‐Qun, Ke Chen, Lin Han, et al.. (2020). Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images. Journal of X-Ray Science and Technology. 28(6). 1123–1139. 3 indexed citations
16.
Chen, Ke, et al.. (2012). Shear Wave Dispersion Ultrasound Vibrometry Based on a Different Mechanical Model for Soft Tissue Characterization. Journal of Ultrasound in Medicine. 31(12). 2001–2011. 19 indexed citations
17.
Lin, Jiangli, N. Quirke, Maya Thanou, & Max Whitby. (2008). Carbon Nanopipe Dispersions in aqueous solutions and their effect on cell viability. TechConnect Briefs. 2(2008). 516–518. 1 indexed citations
18.
Cheng, Yang, Jun Xie, Yuhe Wang, et al.. (2008). Mutation analysis of the FLCN gene in Chinese patients with sporadic and familial isolated primary spontaneous pneumothorax. Clinical Genetics. 74(2). 178–183. 63 indexed citations
19.
Zheng, Kai, Tianfu Wang, Jiangli Lin, & Deyu Li. (2007). Recognition of Breast Ultrasound Images Using A Hybrid Method. 640–643. 15 indexed citations
20.
Li, Deyu, et al.. (2006). [Review of nonlinear filters for medical ultrasonic images].. PubMed. 23(5). 1123–5, 1133. 1 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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