Siyun Liu

75 total papers · 801 total citations
49 papers, 547 citations indexed

About

Siyun Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Siyun Liu has authored 49 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Surgery. Recurrent topics in Siyun Liu's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Siyun Liu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Siyun Liu collaborates with scholars based in China, United States and Spain. Siyun Liu's co-authors include Arthur G. Samuel, Bin Song, Yujun Shi, Xin Zhang, Fang Yuan, Jun Zhang, Zhenru Wu, Jian Zhao, Jing Li and Huaijun Liu and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Magnetic Resonance in Medicine.

In The Last Decade

Siyun Liu

45 papers receiving 529 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Siyun Liu	182	174	117	76	69	49	547
Kathleen Hutchinson	34 0.2×	30 0.2×	153 1.3×	114 1.5×	41 0.6×	26	530
Johnson Chen	126 0.7×	25 0.1×	36 0.3×	83 1.1×	25 0.4×	27	508
Jennifer Phan	35 0.2×	30 0.2×	58 0.5×	73 1.0×	45 0.7×	41	466
Xuedong Yang	102 0.6×	49 0.3×	113 1.0×	12 0.2×	3 0.0×	32	458
Yoichi Yamazaki	155 0.9×	56 0.3×	34 0.3×	7 0.1×	15 0.2×	59	530
Ling He	147 0.8×	18 0.1×	29 0.2×	67 0.9×	118 1.7×	40	548
Kosuke Nakajima	28 0.2×	62 0.4×	88 0.8×	27 0.4×	55 0.8×	36	552
Thomas J. Cooper	48 0.3×	65 0.4×	104 0.9×	18 0.2×	3 0.0×	69	600
Christine Chen	104 0.6×	15 0.1×	38 0.3×	27 0.4×	44 0.6×	19	448
Lichao Xu	127 0.7×	9 0.1×	233 2.0×	23 0.3×	85 1.2×	43	527

Countries citing papers authored by Siyun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Siyun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyun Liu

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

All Works

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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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