Y. Padma Sai

796 total citations
49 papers, 466 citations indexed

About

Y. Padma Sai is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Y. Padma Sai has authored 49 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 15 papers in Cardiology and Cardiovascular Medicine and 13 papers in Artificial Intelligence. Recurrent topics in Y. Padma Sai's work include EEG and Brain-Computer Interfaces (16 papers), ECG Monitoring and Analysis (14 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Y. Padma Sai is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), ECG Monitoring and Analysis (14 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Y. Padma Sai collaborates with scholars based in India, Nepal and Canada. Y. Padma Sai's co-authors include L. V. Rajani Kumari, Mohebbanaaz, N. Balaji, Subodh Srivastava, Sai Praveen Haranath, C. Raghavendra Rao, Ritesh Kumar Mishra, Hari K. Somineni, Shubhankar Majumdar and M. N. Giri Prasad and has published in prestigious journals such as Neural Computing and Applications, Biomedical Signal Processing and Control and Digital Signal Processing.

In The Last Decade

Y. Padma Sai

41 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Y. Padma Sai 193 144 122 72 66 49 466
Binish Fatimah 195 1.0× 233 1.6× 163 1.3× 48 0.7× 81 1.2× 27 554
Kandala N. V. P. S. Rajesh 265 1.4× 206 1.4× 118 1.0× 50 0.7× 85 1.3× 26 578
Satish T. Hamde 270 1.4× 153 1.1× 136 1.1× 43 0.6× 32 0.5× 35 400
Jingshan Huang 346 1.8× 285 2.0× 180 1.5× 79 1.1× 67 1.0× 16 573
Erkan Zeki Engın 131 0.7× 75 0.5× 169 1.4× 64 0.9× 85 1.3× 30 542
Tomás Teijeiro 218 1.1× 190 1.3× 92 0.8× 152 2.1× 136 2.1× 36 612
Lang Qin 207 1.1× 135 0.9× 81 0.7× 40 0.6× 45 0.7× 10 332
Yuxi Zhou 453 2.3× 287 2.0× 132 1.1× 121 1.7× 86 1.3× 24 687
N. Kumaravel 199 1.0× 63 0.4× 92 0.8× 67 0.9× 57 0.9× 39 418
S. Satheeskumaran 182 0.9× 113 0.8× 114 0.9× 23 0.3× 45 0.7× 16 381

Countries citing papers authored by Y. Padma Sai

Since Specialization
Citations

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

Fields of papers citing papers by Y. Padma Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Padma Sai. 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 Y. Padma Sai. The network helps show where Y. Padma Sai may publish in the future.

Co-authorship network of co-authors of Y. Padma Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Padma Sai. A scholar is included among the top collaborators of Y. Padma Sai 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 Y. Padma Sai. Y. Padma Sai 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.
Mohebbanaaz, Y. Padma Sai, & L. V. Rajani Kumari. (2025). A novel inference system for detecting cardiac arrhythmia using deep learning framework. Neural Computing and Applications. 37(16). 9759–9775. 7 indexed citations
2.
Sai, Y. Padma, et al.. (2025). Emotion recogntion using EEG signals for health care monitoring. AIP conference proceedings. 3162. 20082–20082.
3.
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5.
Mahesh, Ankur, et al.. (2023). Respiratory Diseases Detection Using Deep Learning Methods. 5. 117–121. 1 indexed citations
6.
Sai, Y. Padma, et al.. (2023). Development of an SVM-based Depression Detection Model using MFCC Feature Extraction. 808–814. 1 indexed citations
7.
Sai, Y. Padma, et al.. (2022). Design of 8-bit Dadda Multiplier using Gate Level Approximate 4:2 Compressor. 269–274. 6 indexed citations
8.
Mohebbanaaz, et al.. (2022). A new transfer learning approach to detect cardiac arrhythmia from ECG signals. Signal Image and Video Processing. 16(7). 1945–1953. 31 indexed citations
9.
Sai, Y. Padma, et al.. (2021). Accurate and Efficient Differentiation Between Normal and Epileptic Seizure of Eyes Using 13 Layer Convolution Neural Network. Traitement du signal. 38(4). 1161–1169. 4 indexed citations
10.
Sai, Y. Padma, et al.. (2021). Design and Comparison of Advanced Low Power SRAM Cells using GNRFET Technology. 1–6. 2 indexed citations
11.
Kumari, L. V. Rajani, et al.. (2021). Performance Evaluation of Adaptive Filtering Algorithms for Denoising the ECG Signal. 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). 1–5. 7 indexed citations
12.
Srivastava, Subodh, et al.. (2021). Recasted nonlinear complex diffusion method for removal of Rician noise from breast MRI images. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 20(2). 269–282. 4 indexed citations
13.
Sai, Y. Padma, et al.. (2020). A New Framework for Recognizing Normal and Epileptic Seizure from Eye Movement Signals Using Genetic Based Convolutional Neural Network. Traitement du signal. 37(3). 493–501. 3 indexed citations
14.
Sai, Y. Padma, et al.. (2020). Cough sound analysis and objective correlation with spirometry and clinical diagnosis. Informatics in Medicine Unlocked. 19. 100319–100319. 50 indexed citations
15.
Mohebbanaaz, Y. Padma Sai, & L. V. Rajani Kumari. (2020). A Review on Arrhythmia Classification Using ECG Signals. 1–6. 30 indexed citations
16.
Kumari, L. V. Rajani, et al.. (2017). Real-Time Telemonitoring of Student’s Stress Levels using HRV Analysis. Digital Signal Processing. 9(4). 61–65. 1 indexed citations
17.
Sai, Y. Padma, et al.. (2017). Data Acquisition System of Electrooculogram. 716–721. 7 indexed citations
18.
Sai, Y. Padma, et al.. (2016). Arduino Based Abnormal Heart Rate Detection and Wireless Communication. International Journal on Cybernetics & Informatics. 5(4). 47–53. 1 indexed citations
19.
Sai, Y. Padma, et al.. (2016). Design of 2n×2m×1 random access memory using reversible logic. 2. 913–917.
20.
Sai, Y. Padma, et al.. (2013). Development of Telugu Text to Speech System Using OMAP 3530. 1–5. 1 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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