Shao-Yuan Lo

12 papers and 128 indexed citations i.

About

Shao-Yuan Lo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Shao-Yuan Lo has authored 12 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Environmental Engineering. Recurrent topics in Shao-Yuan Lo’s work include Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Neural Network Applications (4 papers). Shao-Yuan Lo is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Neural Network Applications (4 papers). Shao-Yuan Lo collaborates with scholars based in United States, Taiwan and Germany. Shao-Yuan Lo's co-authors include Hsueh‐Ming Hang, Vishal M. Patel, Poojan Oza, Jeya Maria Jose Valanarasu, Jingjing Zheng, Sumanth Chennupati, Wei Wang, Chaoqiong Ma, Tonghe Wang and Tian Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Shao-Yuan Lo i

Fields of papers citing papers by Shao-Yuan Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Yuan Lo. 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 Shao-Yuan Lo. The network helps show where Shao-Yuan Lo may publish in the future.

Countries citing papers authored by Shao-Yuan Lo

Since Specialization
Citations

This map shows the geographic impact of Shao-Yuan Lo'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 Shao-Yuan Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Yuan Lo 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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