Xingru Huang

83 total papers · 887 total citations
48 papers, 433 citations indexed

About

Xingru Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xingru Huang has authored 48 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xingru Huang's work include AI in cancer detection (14 papers), Retinal Imaging and Analysis (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Xingru Huang is often cited by papers focused on AI in cancer detection (14 papers), Retinal Imaging and Analysis (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Xingru Huang collaborates with scholars based in China, United Kingdom and Netherlands. Xingru Huang's co-authors include Qianni Zhang, Yaqi Wang, Juan Ye, Kai Jin, Yunxiang Li, Lixia Lou, Huiyu Zhou, Yan Yan, Jingxing Zhou and Ji Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Journal of Hazardous Materials.

In The Last Decade

Xingru Huang

39 papers receiving 420 citations

Hit Papers

FIVES: A Fundus Image Dat... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Xingru Huang 216 101 97 90 71 48 433
A. Mosquera 213 1.0× 111 1.1× 143 1.5× 109 1.2× 33 0.5× 34 462
Wenhui Lei 97 0.4× 109 1.1× 9 0.1× 66 0.7× 46 0.6× 38 472
Tharindu De Silva 171 0.8× 157 1.6× 91 0.9× 30 0.3× 190 2.7× 49 455
Daniel Milad 260 1.2× 9 0.1× 93 1.0× 93 1.0× 15 0.2× 31 488
Ying Fang 253 1.2× 116 1.1× 162 1.7× 52 0.6× 58 0.8× 53 467
Bin Lv 192 0.9× 44 0.4× 110 1.1× 46 0.5× 24 0.3× 42 386
Muhammad Nadeem 47 0.2× 201 2.0× 7 0.1× 73 0.8× 41 0.6× 63 418
Chen Zhang 231 1.1× 19 0.2× 18 0.2× 20 0.2× 53 0.7× 47 375
Jianyang Xie 365 1.7× 129 1.3× 271 2.8× 42 0.5× 95 1.3× 31 482
Yubo Tan 126 0.6× 83 0.8× 62 0.6× 33 0.4× 24 0.3× 48 461

Countries citing papers authored by Xingru Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xingru Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingru Huang

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