S.S. Dlay

1.9k citations
141 papers · 1.4k · h-index 20

Impact in

Papers in

S.S. Dlay

126 papers receiving 1.3k citations

Peers

S.S. Dlay
Comparison fields: 5 of 113
  • Signal Processing 713
  • Computer Vision and Pattern Recognition 432
  • Analytical Chemistry 125
  • Media Technology 93
  • Computational Mechanics 183
Replace Jar‐Ferr Yang with:
Jar‐Ferr Yang Taiwan
Godfried Toussaint Canada
Adrian G. Borş United Kingdom
Juwei Lu Canada
F. Anouar France
Zhifeng Li China
Hakan Çevıkalp Türkiye
Matthew Kabrisky United States
Peder A. Olsen United States
Baozong Yuan China
S.S. Dlay relative to Jar‐Ferr Yang Taiwan Jar‐Ferr Yang's profile →
Citations per field
00.5×4.3×
Jar‐Ferr Yang · 1×
Citations per year

Countries citing papers authored by S.S. Dlay

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Dlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201097
2 201255
3 201652
4 201251
5 201550
6 201742
7 201041
8 201139
9 200738
10 201538
11 201334
12 201731
13 201331
14 201728
15 200525
16 201624
17 201024
18 201022
19 201520
20 201820

About S.S. Dlay

S.S. Dlay is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics and Analytical Chemistry, having authored 141 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (39 papers), Biometric Identification and Security (28 papers), Speech and Audio Processing (24 papers), Spectroscopy and Chemometric Analyses (21 papers), Face and Expression Recognition (17 papers), Advanced Adaptive Filtering Techniques (16 papers), Neural Networks and Applications (15 papers) and Face recognition and analysis (13 papers). The work is most often cited by research in Signal Processing (713 citations), Computer Vision and Pattern Recognition (432 citations), Analytical Chemistry (125 citations), Media Technology (93 citations) and Computational Mechanics (183 citations). S.S. Dlay has collaborated with scholars based in United Kingdom, Iraq and China. Frequent co-authors include Wai Lok Woo, Bin Gao, Jonathon A. Chambers, Raid Rafi Omar Al-Nima, Gholamreza Rafiee, Mohammed A. M. Abdullah, Bin Gao, Mohammad A. Dabbah, Nor Hazlyna Harun and Mohammed Benaissa. Their work appears in journals such as Pattern Recognition, Digital Signal Processing, IEEE Transactions on Neural Networks and Learning Systems, The Journal of the Acoustical Society of America and IEEE 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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