Xiaoqing Liu

86 total papers · 1.4k total citations
47 papers, 862 citations indexed

About

Xiaoqing Liu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Xiaoqing Liu has authored 47 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Epidemiology. Recurrent topics in Xiaoqing Liu's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (3 papers). Xiaoqing Liu is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (3 papers). Xiaoqing Liu collaborates with scholars based in China, United States and Hong Kong. Xiaoqing Liu's co-authors include Yizhou Yu, Tiansen Li, Margot S. Damaser, Basil S. Pawlyk, Yun Zhao, Changyou Gao, Wangbei Cao, Yongyuan Kang, Jie Wang and Yi‐Ming Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Public Health.

In The Last Decade

Xiaoqing Liu

43 papers receiving 843 citations

Hit Papers

A tough, antibacterial an... 2024 2026 2024 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Xiaoqing Liu 217 159 132 118 105 47 862
José Aneiros‐Fernández 81 0.4× 175 1.1× 126 1.0× 50 0.4× 81 0.8× 109 1.0k
Jaejin Cho 98 0.5× 158 1.0× 262 2.0× 81 0.7× 41 0.4× 78 1.0k
Xiaodong Zhang 180 0.8× 177 1.1× 23 0.2× 170 1.4× 47 0.4× 59 702
Zhongwei Chen 270 1.2× 276 1.7× 59 0.4× 98 0.8× 111 1.1× 62 961
Jeong Kyu Lee 251 1.2× 129 0.8× 28 0.2× 43 0.4× 56 0.5× 78 975
Chao Sun 275 1.3× 100 0.6× 53 0.4× 159 1.3× 70 0.7× 52 748
P. Meyer 391 1.8× 286 1.8× 115 0.9× 135 1.1× 30 0.3× 65 961
Jianying Zhang 209 1.0× 112 0.7× 176 1.3× 44 0.4× 15 0.1× 41 779
Michael Morris 320 1.5× 141 0.9× 83 0.6× 118 1.0× 13 0.1× 46 864
Kei Kato 200 0.9× 285 1.8× 207 1.6× 35 0.3× 15 0.1× 38 995

Countries citing papers authored by Xiaoqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqing Liu. A scholar is included among the top collaborators of Xiaoqing 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 Xiaoqing Liu. Xiaoqing 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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