Wenqi Li

152 total papers · 10.7k total citations
65 papers, 5.2k citations indexed

About

Wenqi Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wenqi Li has authored 65 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wenqi Li's work include Medical Image Segmentation Techniques (14 papers), Advanced Neural Network Applications (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Wenqi Li is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Advanced Neural Network Applications (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Wenqi Li collaborates with scholars based in China, United Kingdom and United States. Wenqi Li's co-authors include Sébastien Ourselin, Tom Vercauteren, M. Jorge Cardoso, Carole H. Sudre, Guotai Wang, Jan Deprest, Michaël Aertsen, Tom Doel, Daguang Xu and Premal A. Patel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and The Science of The Total Environment.

In The Last Decade

Wenqi Li

60 papers receiving 5.0k citations

Hit Papers

Generalised Dice Overlap ... 2017 2026 2020 2023 2017 2018 2018 2022 2019 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Wenqi Li 2.1k 1.9k 1.9k 707 692 65 5.2k
Guotai Wang 1.8k 0.9× 1.7k 0.9× 1.3k 0.7× 623 0.9× 585 0.8× 94 3.8k
Mingchen Gao 1.4k 0.7× 1.7k 0.9× 1.8k 1.0× 537 0.8× 308 0.4× 52 4.8k
Daguang Xu 1.8k 0.9× 1.7k 0.9× 1.9k 1.0× 670 0.9× 590 0.9× 61 4.1k
Ziyue Xu 1.9k 0.9× 3.0k 1.6× 2.4k 1.3× 814 1.2× 423 0.6× 73 6.5k
Caroline Petitjean 2.3k 1.1× 2.6k 1.4× 2.5k 1.3× 568 0.8× 436 0.6× 70 4.8k
Guorong Wu 2.5k 1.2× 2.9k 1.5× 1.7k 0.9× 847 1.2× 870 1.3× 204 6.9k
Heung‐Il Suk 2.0k 1.0× 2.5k 1.3× 2.7k 1.5× 941 1.3× 1.6k 2.3× 135 8.3k
Su Ruan 2.0k 1.0× 2.0k 1.1× 1.3k 0.7× 627 0.9× 831 1.2× 170 5.0k
Laith Alzubaidi 1.3k 0.6× 1.2k 0.6× 2.1k 1.1× 647 0.9× 312 0.5× 82 7.2k
Jun Zhang 2.1k 1.0× 1.4k 0.7× 1.7k 0.9× 577 0.8× 990 1.4× 153 5.0k

Countries citing papers authored by Wenqi Li

Since Specialization
Citations

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

Fields of papers citing papers by Wenqi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenqi Li

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