Yongping Lin

533 total citations
44 papers, 357 citations indexed

About

Yongping Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Yongping Lin has authored 44 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Yongping Lin's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Photoacoustic and Ultrasonic Imaging (8 papers) and AI in cancer detection (7 papers). Yongping Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Photoacoustic and Ultrasonic Imaging (8 papers) and AI in cancer detection (7 papers). Yongping Lin collaborates with scholars based in China, United States and Denmark. Yongping Lin's co-authors include Zhifang Li, Bo‐Jian Zheng, Jianguo Xu, Duan-hua Zhou, Huaiqi Jing, Xiangzhong Li, Biao Di, Yulin Wang, Ming Wang and Pengzhe Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Optics Express.

In The Last Decade

Yongping Lin

36 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongping Lin China 9 113 82 74 57 50 44 357
Yongheng Wang China 11 35 0.3× 49 0.6× 8 0.1× 44 0.8× 20 0.4× 20 312
Dahu Wang China 14 64 0.6× 17 0.2× 60 0.8× 205 3.6× 26 0.5× 40 571
Maria Whelan Ireland 12 195 1.7× 159 1.9× 34 0.5× 43 0.8× 25 0.5× 27 697
Amit R. Nayak India 11 145 1.3× 30 0.4× 14 0.2× 99 1.7× 23 0.5× 31 375
Christof Bertram Germany 15 44 0.4× 37 0.5× 29 0.4× 18 0.3× 106 2.1× 66 565
Javier Herrero Spain 13 23 0.2× 83 1.0× 31 0.4× 11 0.2× 59 1.2× 29 1.8k
Martina Friess Switzerland 14 40 0.4× 61 0.7× 30 0.4× 16 0.3× 218 4.4× 21 581
Lunzhi Yuan China 10 68 0.6× 40 0.5× 21 0.3× 131 2.3× 3 0.1× 28 309
Jie Deng China 13 161 1.4× 57 0.7× 20 0.3× 122 2.1× 2 0.0× 34 507
Quan Zhang China 8 50 0.4× 15 0.2× 9 0.1× 48 0.8× 14 0.3× 51 514

Countries citing papers authored by Yongping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yongping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongping Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yongping Lin. A scholar is included among the top collaborators of Yongping 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 Yongping Lin. Yongping 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.
Qiu, Jian, et al.. (2025). Attention-enhanced residual U-Net: lymph node segmentation method with bimodal MRI images. BioMedical Engineering OnLine. 24(1). 67–67.
2.
Zhang, Feng, Biao Ma, Jiuzhou Chen, et al.. (2024). Injectable and Conductive Nanomicelle Hydrogel with α-Tocopherol Encapsulation for Enhanced Myocardial Infarction Repair. ACS Nano. 18(14). 10216–10229. 33 indexed citations
3.
Lin, Yongping, et al.. (2024). Analysis of the epidemiological situation of influenza in Guangzhou under the prevention and control of COVID‐19 in June 2022. The Clinical Respiratory Journal. 18(5). e13754–e13754. 1 indexed citations
4.
Xiong, Liu, et al.. (2024). A Three‐Step Automated Segmentation Method for Early Cervical Cancer MRI Images Based on Deep Learning. International Journal of Imaging Systems and Technology. 35(1). 1 indexed citations
5.
Li, Meifang, et al.. (2024). A deep learning-based automatic image quality assessment method for respiratory phase on computed tomography chest images. Quantitative Imaging in Medicine and Surgery. 14(3). 2240–2254. 1 indexed citations
6.
Mao, Wei, et al.. (2023). Quantitative evaluation of myometrial infiltration depth ratio for early endometrial cancer based on deep learning. Biomedical Signal Processing and Control. 84. 104685–104685. 8 indexed citations
7.
Zhang, Feng, Hongyi Cheng, Kai-Yun Qu, et al.. (2023). Continuous contractile force and electrical signal recordings of 3D cardiac tissue utilizing conductive hydrogel pillars on a chip. Materials Today Bio. 20. 100626–100626. 21 indexed citations
8.
Lin, Yongping, Feng Zhang, Shaojie Chen, et al.. (2023). Binary Colloidal Crystals Promote Cardiac Differentiation of Human Pluripotent Stem Cells via Nuclear Accumulation of SETDB1. ACS Nano. 17(3). 3181–3193. 3 indexed citations
9.
Xiong, Liu, Chunxia Chen, Yongping Lin, Wei Mao, & Zhiyu Song. (2023). A computer-aided determining method for the myometrial infiltration depth of early endometrial cancer on MRI images. BioMedical Engineering OnLine. 22(1). 4 indexed citations
10.
Li, Meifang, et al.. (2023). Deep learning-driven multi-view multi-task image quality assessment method for chest CT image. BioMedical Engineering OnLine. 22(1). 117–117. 5 indexed citations
11.
Ou, Limin, Xiuyu Cai, Liyan Huang, et al.. (2023). Laboratory blood test profiling reveals distinct biochemical and hemocyte features of KRAS mutated non-small cell lung cancer. Journal of Thoracic Disease. 15(2). 365–375.
12.
Mao, Wei, et al.. (2022). A deep learning-based automatic staging method for early endometrial cancer on MRI images. Frontiers in Physiology. 13. 974245–974245. 18 indexed citations
13.
Zhu, Yue, Chang Cui, Hongwu Chen, et al.. (2021). Pathogenesis and drug response of iPSC-derived cardiomyocytes from two Brugada syndrome patients with different Na<sub>v</sub>1.5-subunit mutations. Journal of Biomedical Research. 35(5). 395–395. 8 indexed citations
14.
Lin, Yongping, Hongxin Lin, Xiaoqin Zhu, & Guannan Chen. (2021). Three-dimensional characterizations of two-photon excitation fluorescence images of elastic fibers affected by cutaneous scar duration. Quantitative Imaging in Medicine and Surgery. 11(8). 3584–3594. 2 indexed citations
15.
Yang, Yanqin, Peng Li, Yongping Lin, et al.. (2020). Gene Expression Profiling of the Liver and Lung in Mice After Exposure to ZnO Quantum Dots. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Cai, Xiuyu, Li Li, Xin Chen, et al.. (2020). Therapeutic Potential of Apatinib Against Colorectal Cancer by Inhibiting VEGFR2-Mediated Angiogenesis and &beta;-Catenin Signaling. SHILAP Revista de lepidopterología.
17.
Lin, Yongping, et al.. (2018). Real-time co-registered photoacoustic and ultrasonic imaging for early endometrial cancer detection driven by cylindrical diffuser. Journal of Innovative Optical Health Sciences. 12(2). 5 indexed citations
18.
Liu, Liping, Ди Шао, Qiuhua Deng, et al.. (2018). Next generation sequencing-based molecular profiling of lung adenocarcinoma using pleural effusion specimens. Journal of Thoracic Disease. 10(5). 2631–2637. 31 indexed citations
19.
Lin, Yongping. (1975). STUDIES ON THE EPIDEMIOLOGY OF MONIEZIASIS (MONIEZIA EXPANSA) AND THE BIOLOGY OF ITS NATURAL VECTORS. Dongwu xuebao. 5 indexed citations
20.
Lin, Yongping. (1959). THE LIFE CYCLE OF DREPANIDOTAENIA LANCEOLATA (BLOCH) IN FUKIEN, SOUTH CHINA. Journal of Fujian Normal University. 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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