Sayanjit Singha Roy

467 total citations
29 papers, 334 citations indexed

About

Sayanjit Singha Roy is a scholar working on Materials Chemistry, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sayanjit Singha Roy has authored 29 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 9 papers in Cognitive Neuroscience and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sayanjit Singha Roy's work include High voltage insulation and dielectric phenomena (14 papers), EEG and Brain-Computer Interfaces (9 papers) and Muscle activation and electromyography studies (6 papers). Sayanjit Singha Roy is often cited by papers focused on High voltage insulation and dielectric phenomena (14 papers), EEG and Brain-Computer Interfaces (9 papers) and Muscle activation and electromyography studies (6 papers). Sayanjit Singha Roy collaborates with scholars based in India, United States and China. Sayanjit Singha Roy's co-authors include Soumya Chatterjee, Rohit Bose, Ashish Paramane, Arup Kumar Das, Arnab Nandi, Sawon Pratiher, Subho Paul, M. Tariq Nazir, Biswarup Ganguly and U. Mohan Rao and has published in prestigious journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Sayanjit Singha Roy

27 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sayanjit Singha Roy India 11 144 93 80 69 48 29 334
Wenbin Su China 11 85 0.6× 59 0.6× 80 1.0× 29 0.4× 90 1.9× 34 419
Biswarup Ganguly India 11 78 0.5× 121 1.3× 27 0.3× 79 1.1× 75 1.6× 45 381
Alexander I. Gavrilov Russia 13 52 0.4× 69 0.7× 192 2.4× 81 1.2× 17 0.4× 66 503
Yaxin Li China 11 110 0.8× 142 1.5× 73 0.9× 26 0.4× 60 1.3× 45 390
Liu Chu China 14 44 0.3× 126 1.4× 41 0.5× 97 1.4× 61 1.3× 55 431
Guanyang Liu China 12 103 0.7× 47 0.5× 137 1.7× 33 0.5× 42 0.9× 33 343
Halit Eren Australia 9 67 0.5× 154 1.7× 54 0.7× 27 0.4× 11 0.2× 41 374
Zhiyan Dong China 11 106 0.7× 69 0.7× 29 0.4× 21 0.3× 19 0.4× 45 319
Zhenhua Wang China 10 38 0.3× 35 0.4× 100 1.3× 28 0.4× 18 0.4× 31 379
Li Tian China 11 59 0.4× 35 0.4× 35 0.4× 47 0.7× 17 0.4× 52 424

Countries citing papers authored by Sayanjit Singha Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sayanjit Singha Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayanjit Singha Roy. 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 Sayanjit Singha Roy. The network helps show where Sayanjit Singha Roy may publish in the future.

Co-authorship network of co-authors of Sayanjit Singha Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Sayanjit Singha Roy. A scholar is included among the top collaborators of Sayanjit Singha Roy 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 Sayanjit Singha Roy. Sayanjit Singha Roy 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.
Roy, Sayanjit Singha, Ashish Paramane, Biswarup Ganguly, et al.. (2025). Condition Monitoring of Polymeric Insulators: A Remote Diagnostic Framework With Improved Intermediate Hydrophobicity Grade Detection. IEEE Transactions on Industry Applications. 61(3). 5251–5260.
2.
Roy, Sayanjit Singha, et al.. (2023). Characterization and Identification of Electrical Tree Growth Stages Inside High-Voltage Cable Insulation. IEEE Transactions on Instrumentation and Measurement. 72. 1–9. 3 indexed citations
3.
Roy, Sayanjit Singha, et al.. (2023). Automated Space Charge Classification Inside ±500-kV HVDC Cable Insulation Using Fusion of Superpixel and Deep Features for Remote Condition Assessment. IEEE Transactions on Instrumentation and Measurement. 72. 1–8. 3 indexed citations
4.
Roy, Sayanjit Singha, et al.. (2022). Accurate Hydrophobicity Grade Detection of Polymeric Insulators in Extremely Wetted and Humid Environments Using Bi-LSTM Neural Network Classifier. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 3 indexed citations
5.
Roy, Sayanjit Singha, et al.. (2022). Hydrophobicity Grade Detection of Polymeric Insulator Using Image Visibility Graph. 187–191. 1 indexed citations
6.
Roy, Sayanjit Singha, et al.. (2022). Detection of abnormal electromyograms employing DWT-based amplitude envelope analysis using Teager energy operator. International Journal of Biomedical Engineering and Technology. 40(3). 224–224. 2 indexed citations
7.
Roy, Sayanjit Singha, et al.. (2022). Accurate Sensing of Insulator Surface Contamination Using Customized Convolutional Neural Network. IEEE Sensors Letters. 7(1). 1–4. 9 indexed citations
8.
Chatterjee, Soumya, et al.. (2022). Recognition of Hydrophobicity Class of Polymeric Insulators Employing Residual Morphological Neural Network and Granulometry-Based Image Analysis. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 12 indexed citations
9.
Roy, Sayanjit Singha, et al.. (2021). Focal Epileptic Area Recognition Employing Cross EEG Rhythm Spectrum Images and Convolutional Neural Network. IEEE Sensors Journal. 21(20). 23335–23343. 18 indexed citations
10.
Roy, Sayanjit Singha, et al.. (2020). Cross Spectrum Aided Deep Feature Extraction Based Neuromuscular Disease Detection Framework. IEEE Sensors Letters. 4(6). 1–4. 10 indexed citations
11.
Roy, Sayanjit Singha & Soumya Chatterjee. (2020). Partial Discharge Detection Framework Employing Spectral Analysis of Horizontal Visibility Graph. IEEE Sensors Journal. 21(4). 4819–4826. 13 indexed citations
12.
Chatterjee, Soumya, Sayanjit Singha Roy, Rohit Bose, & Sawon Pratiher. (2020). Feature extraction from multifractal spectrum of electromyograms for diagnosis of neuromuscular disorders. IET Science Measurement & Technology. 14(7). 817–824. 10 indexed citations
13.
14.
Roy, Sayanjit Singha, et al.. (2020). Bearing Fault Detection in Induction Motors Employing Difference Visibility Graph. 1–4. 3 indexed citations
15.
Roy, Sayanjit Singha, et al.. (2020). Neuromuscular Disease Detection Employing 1D-Local Binary Pattern of Electromyography Signals. 272–276. 1 indexed citations
16.
Roy, Sayanjit Singha, et al.. (2020). Detection of Focal EEG Signals Employing Weighted Visibility Graph. 1–5. 11 indexed citations
17.
Roy, Sayanjit Singha, et al.. (2019). Autocorrelation Based Feature Extraction for Bearing Fault Detection in Induction Motors. 1–5. 4 indexed citations
18.
19.
Roy, Sayanjit Singha, et al.. (2018). Detection of Healthy and Neuropathy Electromyograms Employing Stockwell Transform. 214–218. 6 indexed citations
20.
Roy, Sayanjit Singha, et al.. (2018). Epileptic Seizure Detection Employing Cross-Hyperbolic Stockwell Transform. 70–74. 9 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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