Dehua Li

50 papers and 494 indexed citations i.

About

Dehua Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Dehua Li has authored 50 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Dehua Li’s work include Image and Signal Denoising Methods (7 papers), Advanced Vision and Imaging (6 papers) and Gestational Diabetes Research and Management (5 papers). Dehua Li is often cited by papers focused on Image and Signal Denoising Methods (7 papers), Advanced Vision and Imaging (6 papers) and Gestational Diabetes Research and Management (5 papers). Dehua Li collaborates with scholars based in China, Spain and United States. Dehua Li's co-authors include Lianghai Jin, Jian-Guo Liu, Chang Cao, Gaihua Wang, Li Gu, Qian Li, Jing Fu, Ming‐Yao Chen, Haoyang Wang and Duan Wang and has published in prestigious journals such as Scientific Reports, IEEE Access and Medicine.

In The Last Decade

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

Fields of papers citing papers by Dehua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dehua Li

Since Specialization
Citations

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