Zeju Li

75 total papers · 1.6k total citations
24 papers, 675 citations indexed

About

Zeju Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Zeju Li has authored 24 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Genetics. Recurrent topics in Zeju Li's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (6 papers) and Medical Image Segmentation Techniques (5 papers). Zeju Li is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (6 papers) and Medical Image Segmentation Techniques (5 papers). Zeju Li collaborates with scholars based in China, United Kingdom and Germany. Zeju Li's co-authors include Yuanyuan Wang, Jinhua Yu, Yi Guo, Wei Cao, Zhifeng Shi, Ying Mao, Tongtong Liu, Liang Chen, Yuan Gao and Zhongwei Qiao and has published in prestigious journals such as Nature Methods, Scientific Reports and IEEE Communications Magazine.

In The Last Decade

Zeju Li

24 papers receiving 664 citations

Author Peers

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

Author Last Decade Papers Cites
Zeju Li 486 232 153 129 125 24 675
Michelle Bardis 368 0.8× 177 0.8× 132 0.9× 90 0.7× 151 1.2× 12 565
Gian Marco Conte 410 0.8× 195 0.8× 89 0.6× 87 0.7× 49 0.4× 35 674
Ulf Neuberger 483 1.0× 277 1.2× 66 0.4× 79 0.6× 142 1.1× 15 746
Jiangwei Lao 375 0.8× 127 0.5× 148 1.0× 59 0.5× 101 0.8× 9 573
Gianluca Brugnara 414 0.9× 201 0.9× 72 0.5× 91 0.7× 132 1.1× 31 758
Qiuchang Sun 640 1.3× 257 1.1× 176 1.2× 35 0.3× 196 1.6× 15 743
Virginia Hill 479 1.0× 244 1.1× 88 0.6× 25 0.2× 110 0.9× 27 658
Anahita Fathi Kazerooni 388 0.8× 202 0.9× 48 0.3× 71 0.6× 56 0.4× 63 590
Jay Patel 444 0.9× 202 0.9× 94 0.6× 25 0.2× 179 1.4× 31 717
Mohamed Shehata 370 0.8× 57 0.2× 145 0.9× 118 0.9× 142 1.1× 55 633

Countries citing papers authored by Zeju Li

Since Specialization
Citations

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

Fields of papers citing papers by Zeju Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeju Li

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