Dehua Song

403 total citations
9 papers, 228 citations indexed

About

Dehua Song is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Dehua Song has authored 9 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 2 papers in Biomedical Engineering. Recurrent topics in Dehua Song's work include Biometric Identification and Security (5 papers), Advanced Image Processing Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Dehua Song is often cited by papers focused on Biometric Identification and Security (5 papers), Advanced Image Processing Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Dehua Song collaborates with scholars based in China, Sweden and Australia. Dehua Song's co-authors include Chang Xu, Yunhe Wang, Chunjing Xu, Jufu Feng, Xu Jia, Yao Tang, Dacheng Tao, Hanting Chen, Ruilin Li and Yuhang Liu and has published in prestigious journals such as Pattern Recognition, Science China Information Sciences and High Temperature Materials and Processes.

In The Last Decade

Dehua Song

9 papers receiving 218 citations

Peers

Dehua Song
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 175
  • Media Technology 71
  • Signal Processing 63
  • Artificial Intelligence 33
  • Biomedical Engineering 21
Replace Mo Dai with:
Mo Dai France
N.J. Leite Brazil
Xiaoqing Ding China
Mengyang Liu Hong Kong
Seung-Min Mun South Korea
Xiwu Shang China
Peter Schallauer Austria
Maurizio Lucenteforte Italy
Sanun Srisuk Thailand
Sezer Karaoğlu Netherlands
Mo Dai France View profile →
Citations per field, relative to Dehua Song
Dehua Song · 1×
Citations per year, relative to Dehua Song
Dehua Song · 1×

Countries citing papers authored by Dehua Song

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Dehua Song. A scholar is included among the top collaborators of Dehua Song 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 Dehua Song. Dehua Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 6
2 2
3 57
4 93
5 16
6 3
7 31
8 3
9 17

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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