Song Wang

4.0k total citations
131 papers, 2.7k citations indexed

About

Song Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Song Wang has authored 131 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Signal Processing, 48 papers in Computer Vision and Pattern Recognition and 42 papers in Information Systems. Recurrent topics in Song Wang's work include Biometric Identification and Security (44 papers), User Authentication and Security Systems (33 papers) and Advanced Steganography and Watermarking Techniques (24 papers). Song Wang is often cited by papers focused on Biometric Identification and Security (44 papers), User Authentication and Security Systems (33 papers) and Advanced Steganography and Watermarking Techniques (24 papers). Song Wang collaborates with scholars based in Australia, China and United States. Song Wang's co-authors include Jiankun Hu, Wencheng Yang, Craig Valli, Guanglou Zheng, Tohari Ahmad, Guang Deng, Jucheng Yang, Junjie Wang, Nan Kong and Kathryn S. Campy and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Song Wang

122 papers receiving 2.6k citations

Peers

Song Wang
Comparison fields: 5 of 130
  • Signal Processing 1.7k
  • Computer Vision and Pattern Recognition 1.3k
  • Information Systems 1.3k
  • Computer Networks and Communications 321
  • Artificial Intelligence 301
Replace Jonathan H. Connell with:
Jonathan H. Connell United States
Venu Govindaraju United States
Craig Valli Australia
Lei Ma Japan
Sangyoun Lee South Korea
Xiaofei Xie Singapore
Battista Biggio Italy
Javier Ortega-García Spain
Vir V. Phoha United States
Bojan Čukić United States
Jonathan H. Connell United States View profile →
Citations per field, relative to Song Wang
Song Wang · 1×
Citations per year, relative to Song Wang
Song Wang · 1×

Countries citing papers authored by Song Wang

Since Specialization
Citations

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

Fields of papers citing papers by Song Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Wang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 5
4 2
5 0
6 2
7 31
8 1
9 18
10 124
11 18
12 21
13 5
14
KinWrite: Handwriting-Based Authentication Using Kinect.
55
15 117
16
Research of Error Concealment and Control Based on G.729.1 and AMR_WB
1
17 2
18
Ship Target Detection in Strong Sea Clutter Background
5
19
Information technology:toward the way to the sustainable management of agroecosystem
1
20 6

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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