Jun Deng

2.4k citations
44 papers · 1.5k indexed · h-index 20

Impact in

Papers in

Jun Deng

40 papers receiving 1.5k citations

Peers

Jun Deng
Comparison fields: 5 of 101
  • Signal Processing 724
  • Experimental and Cognitive Psychology 770
  • Artificial Intelligence 806
  • Computer Vision and Pattern Recognition 346
  • Transportation 56
Replace Mustaqeem Mustaqeem with:
Mustaqeem Mustaqeem South Korea
Soonil Kwon South Korea
Dimitrios Ververidis Greece
George Trigeorgis United Kingdom
Kun Han China
Ya Li China
Yasuo Ariki Japan
Niki Parmar United States
Ruhul Amin Khalil Pakistan
Xi Zhou China
Jun Deng relative to Mustaqeem Mustaqeem South Korea Mustaqeem Mustaqeem's profile →
Citations per field
00.5×9.3×
Mustaqeem Mustaqeem · 1×
Citations per year

Countries citing papers authored by Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Deng, 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 Deng Line = papers co-authored together Jun Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20230
4 20231
5 202119
6 202110
7 201973
8 201910
9 201933
10 201935
11 201811
12 201825
13 201713
14 201612
15 201615
16 201423
17 201317
18 2013260
19 201213
20 20061

About Jun Deng

Jun Deng is a scholar working on Signal Processing, Experimental and Cognitive Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (25 papers), Emotion and Mood Recognition (18 papers), Music and Audio Processing (14 papers), Advanced Data Compression Techniques (4 papers), Face and Expression Recognition (4 papers), Machine Learning and Algorithms (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Signal Processing (724 citations), Experimental and Cognitive Psychology (770 citations), Artificial Intelligence (806 citations), Computer Vision and Pattern Recognition (346 citations) and Transportation (56 citations). Jun Deng has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Björn W. Schuller, Zixing Zhang, Erik Marchi, Xinzhou Xu, Sascha Frühholz, Florian Eyben, Eduardo Coutinho, Nicholas Cummins, Bo Zeng and Chuan Li. Their work appears in journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, IEEE Transactions on Multimedia and IEEE Transactions on Affective Computing.

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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