D. Sen

553 citations
24 papers · 397 indexed · h-index 8

D. Sen

17 papers receiving 356 citations

Peers

D. Sen
Comparison fields: 5 of 43
  • Signal Processing 134
  • Computer Vision and Pattern Recognition 149
  • Materials Chemistry 204
  • Electrical and Electronic Engineering 212
  • Computational Mechanics 58
Replace Fu‐Kun Chen with:
Fu‐Kun Chen Taiwan
J.N. Carter United Kingdom
Xinyu Ma China
J.-H. Lee Taiwan
Bhabesh Deka India
Ping Tan China
Grant Ellis Kazakhstan
Renhua Peng China
S. Maekawa Japan
Xiefeng Cheng China
D. Sen relative to Fu‐Kun Chen Taiwan Fu‐Kun Chen's profile →
Citations per field
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Fu‐Kun Chen · 1×
Citations per year

Countries citing papers authored by D. Sen

Since Specialization
Citations

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

Fields of papers citing papers by D. Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside D. Sen, 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 D. Sen Line = papers co-authored together D. Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3
Efficient Compression and Transportation of Scene-Based Audio for Television Broadcast
20161
4 201053
5 20092
6 20094
7 20091
8 200811
9 200820
10 20081
11
Identification of Partials in Polyphonic Mixtures Based on Temporal Envelope Similarity
20071
12 2007179
13 200767
14
Functionality of cochlear micromechanics - As elucidated by upward spread of masking and two tone suppression
20067
15 20051
16 20045
17 20031
18 20031
19 200218
20 20020

About D. Sen

D. Sen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Cognitive Neuroscience and Computational Mechanics, having authored 24 papers that have together received 397 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Advanced Data Compression Techniques (8 papers), Image and Signal Denoising Methods (5 papers), Advanced Adaptive Filtering Techniques (5 papers), Hearing Loss and Rehabilitation (5 papers), Acoustic Wave Phenomena Research (3 papers), High voltage insulation and dielectric phenomena (2 papers) and Structural Health Monitoring Techniques (2 papers). The work is most often cited by research in Signal Processing (134 citations), Computer Vision and Pattern Recognition (149 citations), Materials Chemistry (204 citations), Electrical and Electronic Engineering (212 citations) and Computational Mechanics (58 citations). D. Sen has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include T.R. Blackburn, B.T. Phung, David Gunawan, W.H. Holmes, R. Hagen, Y. Shoham, W. Bastiaan Kleijn, Jont B. Allen, Gerard de Groot and David Clark. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Signal Processing Letters, IEEE Transactions on Applied Superconductivity, The Journal of the Acoustical Society of America and Journal of the Audio Engineering Society.

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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