Yongping Lu

649 total citations · 1 hit paper
9 papers, 440 citations indexed

About

Yongping Lu is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yongping Lu has authored 9 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yongping Lu's work include Liver Disease Diagnosis and Treatment (5 papers), Birth, Development, and Health (2 papers) and Ultrasound Imaging and Elastography (2 papers). Yongping Lu is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Birth, Development, and Health (2 papers) and Ultrasound Imaging and Elastography (2 papers). Yongping Lu collaborates with scholars based in China, Germany and Singapore. Yongping Lu's co-authors include Hong Ai, Jie Tian, Ping Liang, Liping Yin, Jian Zheng, Hui Zhou, Tianan Jiang, Changjun Wu, Xue Lu and Minghui Tong and has published in prestigious journals such as Gut, The Journal of Steroid Biochemistry and Molecular Biology and Molecular Biology Reports.

In The Last Decade

Yongping Lu

9 papers receiving 432 citations

Hit Papers

Deep learning Radiomics of shear wave elastography signif... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study
    2018 380 citations Kun Wang, Xue Lu et al. Gut profile →

Peers

Yongping Lu
Liping Yin China
Changzhu Liu China
Si‐Min Ruan China
Narine Mesropyan Germany
Xiao-wen Huang China
Daniel Stocker Switzerland
Chaoxue Zhang China
Katherine To’o United States
Alexander Ciritsis Switzerland
Mark D. Hohenwalter United States
Liping Yin China
Yongping Lu
Citations per year, relative to Yongping Lu Yongping Lu (= 1×) peers Liping Yin

Countries citing papers authored by Yongping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yongping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongping Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongping Lu. A scholar is included among the top collaborators of Yongping Lu 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 Lu. Yongping Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Liu, Wenbo, et al.. (2025). Research on parameter identification and fault prediction method of hydraulic system in intelligent sensing agriculture. Measurement Sensors. 38. 101813–101813. 1 indexed citations
2.
Lu, Yongping, Christoph Reichetzeder, Cornelia Prehn, et al.. (2020). Impact of maternal smoking associated lyso-phosphatidylcholine 20:3 on offspring brain development. The Journal of Steroid Biochemistry and Molecular Biology. 199. 105591–105591. 7 indexed citations
3.
Sun, Yue, et al.. (2019). Shear‐wave elastography of the liver in a healthy pediatric population. Journal of Clinical Ultrasound. 48(3). 139–144. 8 indexed citations
4.
He, Jing, Yongping Lu, Jian Li, et al.. (2018). Fetal But Not Maternal Angiotensin Converting Enzyme (ACE)-2 Gene Rs2074192 Polymorphism is Associated with Increased Risk of Being a Small For Gestational Age (SGA) Newborn. Kidney & Blood Pressure Research. 43(5). 1596–1606. 13 indexed citations
5.
Wang, Kun, Xue Lu, Hui Zhou, et al.. (2018). Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study. Gut. 68(4). 729–741. 380 indexed citations breakdown →
6.
7.
Lu, Yongping, Wei Jia, Yuan Yuan, et al.. (2014). Evaluation of fatty liver fibrosis in rabbits using real-time shear wave elastography. Experimental and Therapeutic Medicine. 8(2). 355–362. 13 indexed citations
8.
Lu, Yongping, et al.. (2014). Assessment of fibrosis during the development of fatty liver in rabbits using real-time shear-wave elastography. Journal of Huazhong University of Science and Technology [Medical Sciences]. 34(6). 921–928. 1 indexed citations
9.
Lu, Yongping, Jia Wei, Yanling Huang, et al.. (2013). Assessment of atherosclerotic plaques in the rabbit abdominal aorta with interleukin-8 monoclonal antibody-targeted ultrasound microbubbles. Molecular Biology Reports. 40(4). 3083–3092. 16 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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