Jun Du

9.9k citations
343 papers · 6.4k · 2 hit papers · h-index 37

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques

Papers in

Jun Du

309 papers receiving 6.0k citations

Jun Du's Hit Papers

A Regression Approach to Speech Enhancement Based on Deep Neural Networks 2014 · 953 citations
9530+4+8Years since publication250500750

Peers

Jun Du
Comparison fields: 5 of 173
  • Signal Processing 3.5k
  • Artificial Intelligence 2.8k
  • Computer Vision and Pattern Recognition 1.3k
  • Computational Mechanics 1.2k
  • Cognitive Neuroscience 603
Replace Wenwu Wang with:
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Haşim Sak United States
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Jun Du relative to Wenwu Wang United Kingdom Wenwu Wang's profile →
Citations per field
00.5×1.5×
Wenwu Wang · 1×
Citations per year

Countries citing papers authored by Jun Du

Since Specialization
Citations

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

Fields of papers citing papers by Jun Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Du Line = papers co-authored together Jun Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 343 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Regression Approach to Speech Enhancement Based on Deep Neural Networks
Hit paper breakdown →
2014953
2
An Experimental Study on Speech Enhancement Based on Deep Neural Networks
Hit paper breakdown →
2013688
3 2013290
4 2017158
5 2017127
6 2019100
7 200886
8 202078
9 201678
10 201876
11 201475
12 201872
13 201970
14 201569
15 201268
16 201664
17 201462
18 201861
19 201460
20 202159

About Jun Du

Jun Du is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, having authored 343 papers that have together received 6.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (161 papers), Speech Recognition and Synthesis (119 papers), Music and Audio Processing (104 papers), Handwritten Text Recognition Techniques (49 papers), Advanced Adaptive Filtering Techniques (42 papers), Image Processing and 3D Reconstruction (18 papers), Natural Language Processing Techniques (18 papers) and Hearing Loss and Rehabilitation (14 papers). The work is most often cited by research in Signal Processing (3.5k citations), Artificial Intelligence (2.8k citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mechanics (1.2k citations) and Cognitive Neuroscience (603 citations). Jun Du has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chin‐Hui Lee, Li-Rong Dai, Yong Xu, Jianshu Zhang, Yan-Hui Tu, Yixing Zhu, Zi-Rui Wang, Zhibin He, Xiaohu Wen and Hu Liu. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Pattern Recognition, IEEE Transactions on Multimedia, International Journal on Document Analysis and Recognition (IJDAR) and Computer Speech & Language.

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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