Shuda Li

About

Shuda Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Shuda Li has authored 6 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Aerospace Engineering and 3 papers in Geology. Recurrent topics in Shuda Li’s work include Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Neural Network Applications (2 papers). Shuda Li is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Advanced Neural Network Applications (2 papers). Shuda Li collaborates with scholars based in United Kingdom. Shuda Li's co-authors include Victor Adrian Prisacariu, Zirui Wang, Min Chen, Andrew Calway, Kai Han, Yang Zhang, Ankur Handa, Xinghui Li and Kai Han and has published in prestigious journals such as Bristol Research (University of Bristol), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Shuda Li i

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Fields of papers citing papers by Shuda Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuda Li

Since Specialization

Citations

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

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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