Rushuang Mao

13 total papers · 782 total citations
12 papers, 517 citations indexed

About

Rushuang Mao is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Hepatology. According to data from OpenAlex, Rushuang Mao has authored 12 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 4 papers in Hepatology. Recurrent topics in Rushuang Mao's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Rushuang Mao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Rushuang Mao collaborates with scholars based in China. Rushuang Mao's co-authors include Jianhua Zhou, Yini Huang, Yun Wang, Yixin Hu, Fei Li, Xueyi Zheng, Yubo Liu, Yuanyuan Wang, Jinhua Yu and Yao Zhao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Frontiers in Oncology.

In The Last Decade

Rushuang Mao

11 papers receiving 509 citations

Hit Papers

Deep learning radiomics c... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Rushuang Mao 413 236 93 84 80 12 517
Yixin Hu 398 1.0× 238 1.0× 75 0.8× 82 1.0× 77 1.0× 14 518
Xueyi Zheng 416 1.0× 227 1.0× 101 1.1× 108 1.3× 94 1.2× 15 599
Isaac Daimiel Naranjo 407 1.0× 163 0.7× 65 0.7× 108 1.3× 62 0.8× 20 537
Christina Dubchuk 457 1.1× 131 0.6× 66 0.7× 100 1.2× 68 0.8× 5 492
Xiao-wen Huang 372 0.9× 105 0.4× 84 0.9× 75 0.9× 47 0.6× 16 536
Eralda Mema 366 0.9× 70 0.3× 62 0.7× 113 1.3× 71 0.9× 26 491
Simon Keek 383 0.9× 102 0.4× 113 1.2× 137 1.6× 22 0.3× 12 487
Hong Ai 274 0.7× 77 0.3× 118 1.3× 73 0.9× 41 0.5× 17 611
Manon Beuque 383 0.9× 102 0.4× 124 1.3× 134 1.6× 15 0.2× 11 456
Shaimaa Bakr 325 0.8× 108 0.5× 70 0.8× 192 2.3× 68 0.8× 9 449

Countries citing papers authored by Rushuang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Rushuang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rushuang Mao

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