Shan Hu

90 total papers · 3.0k total citations
62 papers, 844 citations indexed

About

Shan Hu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shan Hu has authored 62 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shan Hu's work include Colorectal Cancer Screening and Detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Gastric Cancer Management and Outcomes (8 papers). Shan Hu is often cited by papers focused on Colorectal Cancer Screening and Detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Gastric Cancer Management and Outcomes (8 papers). Shan Hu collaborates with scholars based in China, United States and Greece. Shan Hu's co-authors include Xiaomin Wu, Fuqiang Chu, Lianlian Wu, Qiang Ma, Honggang Yu, Di Chen, Liwen Yao, Honggang Yu, Ping An and Jie Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Shan Hu

53 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
Shan Hu 334 249 215 149 121 62 844
Yoshinori Takeuchi 140 0.4× 300 1.2× 86 0.4× 154 1.0× 24 0.2× 70 997
Hirotsugu Takabatake 226 0.7× 361 1.4× 173 0.8× 143 1.0× 79 0.7× 81 895
Guangqiang Chen 62 0.2× 372 1.5× 81 0.4× 117 0.8× 52 0.4× 70 1.0k
Chunhua Zhou 220 0.7× 189 0.8× 42 0.2× 102 0.7× 21 0.2× 68 748
Guanyu Zhou 459 1.4× 274 1.1× 284 1.3× 66 0.4× 145 1.2× 57 889
Aleksandra Popović 311 0.9× 129 0.5× 69 0.3× 156 1.0× 24 0.2× 40 1.0k
Xianglei He 139 0.4× 203 0.8× 31 0.1× 102 0.7× 88 0.7× 51 956
Xinhua Jiang 77 0.2× 58 0.2× 245 1.1× 107 0.7× 148 1.2× 141 882
Hongjun Zhang 50 0.1× 96 0.4× 116 0.5× 146 1.0× 39 0.3× 62 803
Tao Gan 204 0.6× 181 0.7× 125 0.6× 182 1.2× 95 0.8× 63 794

Countries citing papers authored by Shan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Hu. A scholar is included among the top collaborators of Shan Hu 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 Shan Hu. Shan Hu 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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2026