Shaojun Wang

75 total papers · 524 total citations
30 papers, 306 citations indexed

About

Shaojun Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaojun Wang has authored 30 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaojun Wang's work include Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (11 papers). Shaojun Wang is often cited by papers focused on Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (12 papers) and Music and Audio Processing (11 papers). Shaojun Wang collaborates with scholars based in United States, China and Canada. Shaojun Wang's co-authors include Jing Xiao, Yunxin Zhao, Jun Ma, Dongqing Xu, Dale Schuurmans, Jimmy Xiangji Huang, Fuchun Peng, Jingxian Li, Jing Xiao and Lei Chen and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Speech and Audio Processing and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Shaojun Wang

27 papers receiving 286 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shaojun Wang 236 94 50 24 22 30 306
Ryan Cunningham 72 0.3× 47 0.5× 14 0.3× 40 1.7× 58 2.6× 27 258
Yu‐Hsien Chiu 108 0.5× 46 0.5× 35 0.7× 35 1.5× 43 2.0× 30 345
David Gerhard 62 0.3× 189 2.0× 25 0.5× 35 1.5× 135 6.1× 39 312
Philipp Klumpp 129 0.5× 83 0.9× 48 1.0× 26 1.1× 36 1.6× 24 275
Luc P. Beaudoin 83 0.4× 14 0.1× 55 1.1× 7 0.3× 59 2.7× 25 326
Max W. Y. Lam 157 0.7× 141 1.5× 19 0.4× 5 0.2× 23 1.0× 21 230
Gary S. Robinson 55 0.2× 24 0.3× 53 1.1× 11 0.5× 7 0.3× 23 314
Xingyu Cai 183 0.8× 90 1.0× 61 1.2× 22 0.9× 38 1.7× 35 362
Uli Niemann 67 0.3× 25 0.3× 22 0.4× 22 0.9× 62 2.8× 36 299
Yuchuan Wu 163 0.7× 23 0.2× 54 1.1× 37 1.5× 81 3.7× 22 282

Countries citing papers authored by Shaojun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojun Wang

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

All Works

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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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