Udit Satija

2.2k total citations
75 papers, 1.5k citations indexed

About

Udit Satija is a scholar working on Signal Processing, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Udit Satija has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Signal Processing, 24 papers in Cognitive Neuroscience and 21 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Udit Satija's work include EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (21 papers) and ECG Monitoring and Analysis (20 papers). Udit Satija is often cited by papers focused on EEG and Brain-Computer Interfaces (23 papers), Blind Source Separation Techniques (21 papers) and ECG Monitoring and Analysis (20 papers). Udit Satija collaborates with scholars based in India, Singapore and Saudi Arabia. Udit Satija's co-authors include Barathram Ramkumar, M. Sabarimalai Manikandan, S. Mandal, Shivam Sharma, Jimson Mathew, Saurabh Karmakar, Subhash Saini, Jyoti Kumari, Arijit Mondal and A. P. Vinod and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal and Signal Processing.

In The Last Decade

Udit Satija

67 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Udit Satija India 19 664 515 462 326 273 75 1.5k
Barathram Ramkumar India 19 695 1.0× 395 0.8× 475 1.0× 474 1.5× 266 1.0× 60 1.6k
Manjeet Kumar India 25 517 0.8× 269 0.5× 546 1.2× 270 0.8× 413 1.5× 101 1.7k
Sumair Aziz Pakistan 22 416 0.6× 286 0.6× 455 1.0× 123 0.4× 162 0.6× 108 1.3k
Rajesh Kumar Tripathy India 31 1.2k 1.9× 1.3k 2.5× 647 1.4× 253 0.8× 516 1.9× 106 2.8k
Celia Shahnaz Bangladesh 20 429 0.6× 367 0.7× 388 0.8× 226 0.7× 431 1.6× 153 1.8k
Dilbag Singh India 19 640 1.0× 294 0.6× 443 1.0× 123 0.4× 90 0.3× 108 1.3k
Xiaomao Fan China 16 690 1.0× 529 1.0× 353 0.8× 175 0.5× 80 0.3× 67 1.3k
Manuel Blanco–Velasco Spain 22 1.1k 1.7× 343 0.7× 620 1.3× 336 1.0× 806 3.0× 79 2.2k
M. Sabarimalai Manikandan India 28 1.9k 2.8× 817 1.6× 1.4k 3.1× 288 0.9× 486 1.8× 193 3.4k
Yakup Kutlu Türkiye 15 333 0.5× 352 0.7× 159 0.3× 136 0.4× 199 0.7× 60 978

Countries citing papers authored by Udit Satija

Since Specialization
Citations

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

Fields of papers citing papers by Udit Satija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udit Satija

This figure shows the co-authorship network connecting the top 25 collaborators of Udit Satija. A scholar is included among the top collaborators of Udit Satija based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Udit Satija. Udit Satija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Shivani, Sudhan Majhi, & Udit Satija. (2025). CNN-RAGNet Architecture for CFO Estimation in RIS-Assisted MIMO-OFDM Systems. IEEE Communications Letters. 29(5). 1092–1096.
2.
Satija, Udit, et al.. (2025). Emotion recognition in virtual and non-virtual environments using EEG signals: Dataset and evaluation. Biomedical Signal Processing and Control. 106. 107674–107674. 8 indexed citations
3.
Satija, Udit, et al.. (2025). Effect of Auscultation Hindering Noises on Detection of Adventitious Respiratory Sounds Using Pretrained Audio Neural Nets: A Comprehensive Study. IEEE Transactions on Instrumentation and Measurement. 74. 1–8.
4.
Kumar, Deepak & Udit Satija. (2025). Optimized EEG Multi-Noise Removal and Compression: Deploying a PbP-QLP Enhanced Autoencoder on STM32 Microcontroller. IEEE Transactions on Consumer Electronics. 71(2). 3218–3228.
5.
Satija, Udit, et al.. (2024). Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 11 indexed citations
6.
Singh, Shivani, et al.. (2024). Blind Carrier Frequency Offset Estimation Techniques for Next-Generation Multicarrier Communication Systems: Challenges, Comparative Analysis, and Future Prospects. IEEE Communications Surveys & Tutorials. 27(1). 1–36. 6 indexed citations
7.
Singh, Shivani, et al.. (2024). Blind CFOs Estimation by Capon Method for Multi-User MIMO-OFDMA Uplink System. IEEE Signal Processing Letters. 31. 2545–2549. 3 indexed citations
8.
9.
Satija, Udit, et al.. (2024). A Novel Multi-Head Self-Organized Operational Neural Network Architecture for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2566–2575. 14 indexed citations
10.
Satija, Udit, et al.. (2024). A Novel Deep Metric Learning-Based State-Stable and Noise-Aware Biometric Authentication Framework Using Seismocardiogram Signals. IEEE Transactions on Biometrics Behavior and Identity Science. 7(2). 246–255. 4 indexed citations
11.
Satija, Udit, et al.. (2024). High-Mobility Emitter Identification Framework Using RF-Fingerprints in Orthogonal Time-Frequency Space System. IEEE Communications Letters. 29(1). 26–30.
12.
Satija, Udit, et al.. (2023). Residual Stack-Aided Hybrid CNN-LSTM-Based Automatic Modulation Classification for Orthogonal Time-Frequency Space System. IEEE Communications Letters. 27(12). 3255–3259. 14 indexed citations
13.
14.
Sharma, Shivam & Udit Satija. (2022). Automated Ocular Artifacts Removal Framework Based on Adaptive Chirp Mode Decomposition. IEEE Sensors Journal. 22(6). 5806–5814. 16 indexed citations
15.
Satija, Udit, et al.. (2022). A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram From Seismocardiogram Signal. IEEE Signal Processing Letters. 29. 802–806. 8 indexed citations
16.
Satija, Udit, et al.. (2020). Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal. IEEE Signal Processing Letters. 27. 1260–1264. 24 indexed citations
17.
Satija, Udit, et al.. (2018). Specific Emitter Identification Based on Variational Mode Decomposition and Spectral Features in Single Hop and Relaying Scenarios. IEEE Transactions on Information Forensics and Security. 14(3). 581–591. 160 indexed citations
18.
Satija, Udit, Barathram Ramkumar, & M. Sabarimalai Manikandan. (2017). Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring. IEEE Internet of Things Journal. 4(3). 815–823. 253 indexed citations
19.
Satija, Udit, Barathram Ramkumar, & M. Sabarimalai Manikandan. (2017). Automated ECG Noise Detection and Classification System for Unsupervised Healthcare Monitoring. IEEE Journal of Biomedical and Health Informatics. 22(3). 722–732. 125 indexed citations
20.
Satija, Udit & Barathram Ramkumar. (2016). Instantaneous Mixture Channel Selection for Blind Equalization Using Cumulant Features in MIMO Systems. Circuits Systems and Signal Processing. 35(12). 4596–4606. 4 indexed citations

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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