Liyun Xue

644 total citations
34 papers, 459 citations indexed

About

Liyun Xue is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Liyun Xue has authored 34 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 12 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Liyun Xue's work include Renal cell carcinoma treatment (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Renal and related cancers (9 papers). Liyun Xue is often cited by papers focused on Renal cell carcinoma treatment (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Renal and related cancers (9 papers). Liyun Xue collaborates with scholars based in China, Japan and Singapore. Liyun Xue's co-authors include Beijian Huang, Wen‐Ping Wang, Qing Lü, Hong Ding, Lixia Yan, Qing Lü, Cuixian Li, Wenping Wang, Yuli Zhu and Wenping Wang and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Advanced Science.

In The Last Decade

Liyun Xue

26 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyun Xue China 12 227 201 147 107 82 34 459
Cindy F. Connell United States 4 175 0.8× 178 0.9× 85 0.6× 106 1.0× 74 0.9× 6 374
Chengli Li China 13 87 0.4× 147 0.7× 54 0.4× 57 0.5× 38 0.5× 37 411
Donghong Shi China 10 65 0.3× 43 0.2× 69 0.5× 42 0.4× 49 0.6× 16 339
Karolin J. Paprottka Germany 11 154 0.7× 157 0.8× 25 0.2× 44 0.4× 136 1.7× 39 360
Aaron Maxwell United States 11 127 0.6× 108 0.5× 73 0.5× 64 0.6× 54 0.7× 27 330
Myrosia T. Mitchell United States 7 178 0.8× 211 1.0× 75 0.5× 17 0.2× 37 0.5× 11 399
A.D. Strickland United Kingdom 7 93 0.4× 51 0.3× 42 0.3× 104 1.0× 192 2.3× 13 375
Shengsheng Lai China 12 120 0.5× 211 1.0× 36 0.2× 84 0.8× 28 0.3× 25 319
Kazuaki Sasaki Japan 10 73 0.3× 39 0.2× 80 0.5× 97 0.9× 31 0.4× 42 388
Kai Guo China 12 87 0.4× 96 0.5× 73 0.5× 70 0.7× 8 0.1× 32 347

Countries citing papers authored by Liyun Xue

Since Specialization
Citations

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

Fields of papers citing papers by Liyun Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyun Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Liyun Xue. A scholar is included among the top collaborators of Liyun Xue 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 Liyun Xue. Liyun Xue 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.
Yin, Haohao, Guangwen Chen, Jifeng Yu, et al.. (2025). Prospective multicenter study on the reproducibility of ultrasound-derived fat fraction in assessing hepatic steatosis. Insights into Imaging. 16(1). 243–243.
2.
3.
Li, Xueqi, Iwaki Akiyama, Jing Liang, et al.. (2025). Attenuation imaging: Diagnostic differences in hepatic steatosis for chronic hepatitis B vs metabolic dysfunction-associated steatotic liver disease patients. World Journal of Gastroenterology. 31(11). 102795–102795.
4.
Xue, Liyun, Yuli Zhu, Nianan He, et al.. (2025). Ultrasound-derived fat fraction for the noninvasive quantification of hepatic steatosis: a prospective multicenter study. Insights into Imaging. 16(1). 237–237.
5.
Yan, Fang, Liyun Xue, Yan Zhang, et al.. (2024). Nomogram based on liver stiffness and spleen area with ultrasound for posthepatectomy liver failure: A multicenter study. World Journal of Gastroenterology. 30(27). 3314–3325.
6.
Liang, Jing, Liyun Xue, Na Guo, et al.. (2024). Activatable Sulfur Dioxide Nanosonosensitizer Enables Precisely Controllable Sono‐Gaseous Checkpoint Trimodal Therapy for Orthotopic Hepatocellular Carcinoma. Advanced Science. 12(5). e2409442–e2409442. 3 indexed citations
7.
Liang, Jing, et al.. (2024). On‐Demand Peroxynitrite Overproduction Reprograms Systemic Immune Function for Augmented Sono‐Immunotherapy against Tumor. Advanced Functional Materials. 34(48). 6 indexed citations
8.
Xue, Liyun, Qingmin Wang, Yuli Zhu, et al.. (2020). Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis. European Radiology. 30(5). 2973–2983. 89 indexed citations
9.
Ding, Hong, et al.. (2020). Imaging findings of fibrolamellar hepatocellular carcinomas on ultrasonography: A comparison with conventional hepatocellular carcinomas1. Clinical Hemorheology and Microcirculation. 77(1). 49–60. 8 indexed citations
10.
11.
Xue, Liyun, et al.. (2016). Differentiation of subtypes of renal cell carcinoma with contrast-enhanced ultrasonography. Clinical Hemorheology and Microcirculation. 63(4). 361–371. 31 indexed citations
12.
Li, Cuixian, Qing Lü, Beijian Huang, et al.. (2016). Quantitative evaluation of contrast-enhanced ultrasound for differentiation of renal cell carcinoma subtypes and angiomyolipoma. European Journal of Radiology. 85(4). 795–802. 23 indexed citations
13.
Lü, Qing, Beijian Huang, Wen‐Ping Wang, Cuixian Li, & Liyun Xue. (2015). Qualitative and Quantitative Analysis with Contrast-Enhanced Ultrasonography: Diagnosis Value in Hypoechoic Renal Angiomyolipoma. Korean Journal of Radiology. 16(2). 334–334. 11 indexed citations
14.
15.
Yan, Lixia, et al.. (2014). Contrast‐enhanced ultrasound characterization of renal mucinous tubular and spindle cell carcinoma: Report of two cases. Journal of Clinical Ultrasound. 43(1). 55–58. 4 indexed citations
16.
Xue, Liyun, Qing Lü, Beijian Huang, et al.. (2014). Contrast-enhanced ultrasonography for evaluation of cystic renal mass: in comparison to contrast-enhanced CT and conventional ultrasound. Abdominal Imaging. 39(6). 1274–1283. 51 indexed citations
17.
Lü, Qing, Cuixian Li, Beijian Huang, Liyun Xue, & Wen‐Ping Wang. (2014). Triphasic and epithelioid minimal fat renal angiomyolipoma and clear cell renal cell carcinoma: qualitative and quantitative CEUS characteristics and distinguishing features. Abdominal Imaging. 40(2). 333–342. 23 indexed citations
18.
Xue, Liyun, et al.. (2013). Value of virtual touch tissue quantification in the diagnosis of renal tumors. Zhonghua chaosheng yingxiangxue zazhi. 22(1). 38–41. 1 indexed citations
19.
Ding, Hong, Feng Mao, Liyun Xue, et al.. (2013). Non-invasive Assessment of Liver Fibrosis in a Rat Model: Shear Wave Elasticity Imaging Versus Real-Time Elastography. Ultrasound in Medicine & Biology. 39(7). 1215–1222. 10 indexed citations
20.
Xue, Liyun, et al.. (2012). Study of influential factors in evaluating tissue stiffness by virtual touch tissue quantification. Zhonghua chaosheng yingxiangxue zazhi. 21(6). 526–528. 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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