Emadeldeen Eldele

17 papers receiving 1.4k citations

Emadeldeen Eldele's Hit Papers

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification 2023 · 122 citations
1220+1+3Years since publication100200300400

Peers

Emadeldeen Eldele
Comparison fields: 5 of 80
  • Signal Processing 379
  • Cognitive Neuroscience 487
  • Artificial Intelligence 443
  • Experimental and Cognitive Psychology 143
  • Human-Computer Interaction 58
Replace Abhay B. Upadhyay with:
Abhay B. Upadhyay India
Ali Hassan Pakistan
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Citations per year

Countries citing papers authored by Emadeldeen Eldele

Since Specialization
Citations

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

Fields of papers citing papers by Emadeldeen Eldele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Emadeldeen Eldele, 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 Emadeldeen Eldele Line = papers co-authored together Emadeldeen Eldele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG
Hit paper breakdown →
2021455
2
Time-Series Representation Learning via Temporal and Contextual Contrasting
Hit paper breakdown →
2021371
3 2022138
4
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification
Hit paper breakdown →
2023122
5 202359
6 202257
7 202346
8 202245
9 202334
10 202323
11 202419
12 202316
13 20256
14 20252
15 20252
16 20261
17 20261
18 20260
19 20260
20 20250

About Emadeldeen Eldele

Emadeldeen Eldele is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (7 papers), Time Series Analysis and Forecasting (7 papers), Domain Adaptation and Few-Shot Learning (4 papers), EEG and Brain-Computer Interfaces (4 papers), Sleep and Work-Related Fatigue (2 papers), Multimodal Machine Learning Applications (2 papers), Obstructive Sleep Apnea Research (1 paper) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Signal Processing (379 citations), Cognitive Neuroscience (487 citations), Artificial Intelligence (443 citations), Experimental and Cognitive Psychology (143 citations) and Human-Computer Interaction (58 citations). Emadeldeen Eldele has collaborated with scholars based in Singapore, China and United Arab Emirates. Frequent co-authors include Min Wu, Zhenghua Chen, Xiaoli Li, Chee Keong Kwoh, Cuntai Guan, Mohamed Ibrahim Ragab, Chengyu Liu, Wenyu Zhang, Chuan-Sheng Foo and Omar A. M. Abdelraouf. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biomedical Signal Processing and Control, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Optics & Laser Technology.

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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