Jianwu Dang

4.7k citations
347 papers · 3.0k · h-index 27

Impact in

Papers in

Jianwu Dang

316 papers receiving 2.8k citations

Peers

Jianwu Dang
Comparison fields: 5 of 124
  • Signal Processing 1.3k
  • Experimental and Cognitive Psychology 982
  • Artificial Intelligence 1.7k
  • Statistical and Nonlinear Physics 218
  • Cognitive Neuroscience 342
Replace Alexandros Potamianos with:
Alexandros Potamianos Greece
Arnab Ghoshal United States
Hervé Bourlard Switzerland
Mark Hasegawa‐Johnson United States
Nelson Morgan United States
Jianhua Tao China
Michael Picheny United States
Kiyohiro Shikano Japan
Felix Weninger Germany
Hugo Van hamme Belgium
Jianwu Dang relative to Alexandros Potamianos Greece Alexandros Potamianos's profile →
Citations per field
00.5×4.2×
Alexandros Potamianos · 1×
Citations per year

Countries citing papers authored by Jianwu Dang

Since Specialization
Citations

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

Fields of papers citing papers by Jianwu Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 347 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997104
2 199499
3 202090
4 201783
5 200481
6 200780
7 201163
8 199661
9 202059
10 201850
11 202148
12 201546
13 201946
14 202044
15 201442
16 202341
17 200541
18 201837
19 200234
20 202134

About Jianwu Dang

Jianwu Dang is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 347 papers that have together received 3.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (149 papers), Speech Recognition and Synthesis (148 papers), Phonetics and Phonology Research (82 papers), Music and Audio Processing (63 papers), Emotion and Mood Recognition (34 papers), Voice and Speech Disorders (26 papers), EEG and Brain-Computer Interfaces (23 papers) and Natural Language Processing Techniques (20 papers). The work is most often cited by research in Signal Processing (1.3k citations), Experimental and Cognitive Psychology (982 citations), Artificial Intelligence (1.7k citations), Statistical and Nonlinear Physics (218 citations) and Cognitive Neuroscience (342 citations). Jianwu Dang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kiyoshi Honda, Longbiao Wang, Xugang Lu, Lili Guo, Di Jin, Longbiao Wang, Jianguo Wei, Qinghua Hu, Eng Siong Chng and Meng Ge. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication, IEEE Access, Neuroscience and IEEE/ACM Transactions on Audio Speech and Language Processing.

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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