Lidong Yang

32 papers and 342 indexed citations i.

About

Lidong Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lidong Yang has authored 32 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lidong Yang’s work include Speech and Audio Processing (7 papers), Image and Signal Denoising Methods (7 papers) and COVID-19 diagnosis using AI (6 papers). Lidong Yang is often cited by papers focused on Speech and Audio Processing (7 papers), Image and Signal Denoising Methods (7 papers) and COVID-19 diagnosis using AI (6 papers). Lidong Yang collaborates with scholars based in China. Lidong Yang's co-authors include Baohua Zhang, Xiaoqi Lu, Yu Gu, Ying Zhao, Dahua Yu, Tao Zhou, Jiaqi Liu, Bing‐Zhao Li, Xingxing Jiang and Zhongkui Zhu and has published in prestigious journals such as Scientific Reports, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Lidong Yang i

Fields of papers citing papers by Lidong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lidong Yang

Since Specialization
Citations

This map shows the geographic impact of Lidong Yang'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 Lidong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidong Yang 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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2025