Yang Lv

1.8k total citations · 2 hit papers
76 papers, 1.1k citations indexed

About

Yang Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Yang Lv has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Biomedical Engineering and 9 papers in Molecular Biology. Recurrent topics in Yang Lv's work include Medical Imaging Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Advanced X-ray and CT Imaging (15 papers). Yang Lv is often cited by papers focused on Medical Imaging Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Advanced X-ray and CT Imaging (15 papers). Yang Lv collaborates with scholars based in China, United States and Canada. Yang Lv's co-authors include Yunjin Chen, Weihua Zhang, Hu Chen, Ge Wang, Yi Zhang, Jiliu Zhou, Peixi Liao, Huaiqiang Sun, Junfeng Zhang and T. Kyle Vanderlick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Yang Lv

62 papers receiving 1.1k citations

Hit Papers

LEARN: Learned Experts’ Assessment-Based Reconstruction N... 2018 2026 2020 2023 2018 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Lv China 13 662 462 159 143 80 76 1.1k
Troy Farncombe Canada 18 519 0.8× 237 0.5× 108 0.7× 57 0.4× 29 0.4× 73 924
Greta S. P. Mok Macao 20 948 1.4× 465 1.0× 251 1.6× 85 0.6× 41 0.5× 129 1.4k
Jun Bao China 9 659 1.0× 233 0.5× 226 1.4× 27 0.2× 26 0.3× 31 875
Abhinav K. Jha United States 21 813 1.2× 403 0.9× 138 0.9× 26 0.2× 64 0.8× 122 1.2k
Shouping Zhu China 22 911 1.4× 953 2.1× 105 0.7× 96 0.7× 28 0.3× 94 1.3k
Harald Fischer Germany 19 458 0.7× 318 0.7× 99 0.6× 73 0.5× 36 0.5× 58 1.2k
Holden H. Wu United States 21 831 1.3× 240 0.5× 60 0.4× 49 0.3× 35 0.4× 88 1.3k
Shin Yoshizawa Japan 23 649 1.0× 1.5k 3.3× 52 0.3× 43 0.3× 42 0.5× 145 1.9k
Tzu‐Ching Shih Taiwan 19 431 0.7× 518 1.1× 40 0.3× 91 0.6× 17 0.2× 63 1.2k

Countries citing papers authored by Yang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Lv. A scholar is included among the top collaborators of Yang Lv 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 Yang Lv. Yang Lv 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
2.
Li, Yang, Liqing Wang, Yang Lv, et al.. (2025). IdenHerb: A strategy for identifying constitutive herbs of herbal products by screening exclusive ions of each herb from large-scale multi-group LC–MS data. Journal of Chromatography A. 1743. 465716–465716. 1 indexed citations
3.
Wang, Jing, et al.. (2025). Neural Architecture Search for Unsupervised PET Image Denoising. IEEE Transactions on Radiation and Plasma Medical Sciences. 10(1). 51–62.
4.
Jiang, Tao, Yanan Wei, Haibing Wei, et al.. (2024). Selective mono/divalent ion separation in bifunctional ionomeric capacitive deionization incorporated with counter-charge ionomer layer. Separation and Purification Technology. 354. 128902–128902. 5 indexed citations
5.
Lv, Yang, Yifan Zhang, Xiaolei Zhang, et al.. (2024). Process-unit coupling and integration strategy for the novel lignocellulosic biorefinery development based on systematic self-supply and recyclable xylonic acid pretreatment. Journal of Cleaner Production. 467. 143039–143039. 3 indexed citations
6.
Lv, Yang, et al.. (2024). Modeling thermal conductivity of aerogel-incorporated concrete: A multi-scale approach. Construction and Building Materials. 450. 138605–138605. 3 indexed citations
7.
Lv, Yang, et al.. (2024). Effect of posterior chamber phakic refractive lens implantation on the ocular surface and tear film. Scientific Reports. 14(1). 21549–21549.
8.
Lv, Yang, et al.. (2024). Improvement of aerogel-incorporated concrete by incorporating polyvinyl alcohol fiber: Mechanical strength and thermal insulation. Construction and Building Materials. 449. 138422–138422. 8 indexed citations
9.
Lv, Yang, et al.. (2024). Comparative Study of Semi-Active Control Effectiveness of Structures on Soft Soil Using MR Damper: Shaking Table Investigation. International Journal of Structural Stability and Dynamics. 26(6).
10.
Liu, Rui, Dandan Gao, Yang Lv, et al.. (2024). Risk score constructed with neutrophil extracellular traps-related genes predicts prognosis and immune microenvironment in multiple myeloma. Frontiers in Oncology. 14. 1365460–1365460.
11.
Lv, Yang, et al.. (2023). Short-term power load comparison based on time series and neural networks considering multiple features. Journal of Physics Conference Series. 2625(1). 12002–12002. 1 indexed citations
12.
Lv, Yang, et al.. (2023). Health outcomes of age at menarche in European women: a two-sample Mendelian randomization study. Postgraduate Medical Journal. 99(1175). 993–999. 5 indexed citations
13.
Chen, Xi, et al.. (2023). Enhanced PET imaging using progressive conditional deep image prior. Physics in Medicine and Biology. 68(17). 175047–175047. 7 indexed citations
14.
Zhang, Jian, Yang Gao, Wei Xiang, et al.. (2023). Galangin alleviated myocardial ischemia-reperfusion injury by enhancing autophagic flux and inhibiting inflammation. European Journal of Pharmacology. 945. 175621–175621. 17 indexed citations
15.
Xing, Yan, Wenli Qiao, Ying Wang, et al.. (2022). Deep learning-assisted PET imaging achieves fast scan/low-dose examination. EJNMMI Physics. 9(1). 7–7. 28 indexed citations
16.
Qiao, Wenli, Ying Wang, Jingyi Wang, et al.. (2022). Deep progressive learning achieves whole-body low-dose 18F-FDG PET imaging. EJNMMI Physics. 9(1). 82–82. 13 indexed citations
17.
Lv, Yang, Martin S. Judenhofer, Allison L. Zwingenberger, et al.. (2019). Mini EXPLORER II: a prototype high-sensitivity PET/CT scanner for companion animal whole body and human brain scanning. Physics in Medicine and Biology. 64(7). 75004–75004. 39 indexed citations
18.
Lv, Yang, et al.. (2018). Research on computationally adaptive plenoptic imaging. Guangdian gongcheng. 45(3). 180075. 1 indexed citations
19.
Li, Jinfeng, et al.. (2016). Study on lumbosacral nerve root compression using DTI. Biomedical Reports. 5(3). 353–356. 9 indexed citations
20.
Wu, Xiaohui, Jie Wei, Xun Lu, et al.. (2010). Chemical characteristics and hemostatic performances of ordered mesoporous calcium-doped silica xerogels. Biomedical Materials. 5(3). 35006–35006. 34 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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