Satnam Dlay

865 citations
67 papers · 651 · h-index 15

Impact in

Papers in

Satnam Dlay

63 papers receiving 623 citations

Peers

Satnam Dlay
Comparison fields: 5 of 97
  • Signal Processing 327
  • Computer Vision and Pattern Recognition 226
  • Health Informatics 11
  • Artificial Intelligence 151
  • Safety Research 30
Replace Ali Chekima with:
Ali Chekima Malaysia
Lu Yang China
Kashif Shaheed China
Yanming Zhu Australia
Dakshina Ranjan Kisku India
Lamiaa A. Elrefaei Egypt
Gurjit Singh Walia India
Murat Ekіncі Türkiye
Ranjeet Kumar Rout India
Imran Qureshi Saudi Arabia
Satnam Dlay relative to Ali Chekima Malaysia Ali Chekima's profile →
Citations per field
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Citations per year

Countries citing papers authored by Satnam Dlay

Since Specialization
Citations

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

Fields of papers citing papers by Satnam Dlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201676
2 201640
3 201540
4 201834
5 202331
6 201830
7 201622
8 201621
9 201621
10 201818
11
Prediction of nodal metastasis and prognosis of breast cancer by ANN-based assessment of tumour size and p53, Ki-67 and steroid receptor expression.
201317
12 201616
13 201616
14 201716
15 202215
16 199714
17 202114
18 201414
19 201713
20 201612

About Satnam Dlay

Satnam Dlay is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 651 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Speech and Audio Processing (12 papers), Blind Source Separation Techniques (9 papers), Speech Recognition and Synthesis (7 papers), Neural Networks and Applications (6 papers), Music and Audio Processing (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Traffic control and management (4 papers). The work is most often cited by research in Signal Processing (327 citations), Computer Vision and Pattern Recognition (226 citations), Health Informatics (11 citations), Artificial Intelligence (151 citations) and Safety Research (30 citations). Satnam Dlay has collaborated with scholars based in United Kingdom, Iraq and China. Frequent co-authors include Wai Lok Woo, Jonathon A. Chambers, Mohammed A. M. Abdullah, Gajanan V. Sherbet, Muhammad Imran Ahmad, Bin Gao, Syed Mohsen Naqvi, Wenwu Wang, Pengming Feng and Andrew Crowe. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IET Intelligent Transport Systems, Neurocomputing, Anticancer Research and IEEE Transactions on Multimedia.

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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