Abhay Upadhyay

1.6k total citations
51 papers, 1.1k citations indexed

About

Abhay Upadhyay is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Abhay Upadhyay has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 14 papers in Computer Networks and Communications and 10 papers in Signal Processing. Recurrent topics in Abhay Upadhyay's work include Advanced MIMO Systems Optimization (11 papers), EEG and Brain-Computer Interfaces (7 papers) and Advanced Wireless Communication Techniques (7 papers). Abhay Upadhyay is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), EEG and Brain-Computer Interfaces (7 papers) and Advanced Wireless Communication Techniques (7 papers). Abhay Upadhyay collaborates with scholars based in India, Malaysia and Singapore. Abhay Upadhyay's co-authors include Ram Bilas Pachori, U. Rajendra Acharya, Rajeev Sharma, Abhijit Bhattacharyya, Shivnarayan Patidar, Anurag Nishad, Manish Sharma, Ashish Sharma, Deepak Upadhyay and Varun Bajaj and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Journal of the Franklin Institute and Applied Soft Computing.

In The Last Decade

Abhay Upadhyay

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhay Upadhyay India 15 578 327 260 243 142 51 1.1k
Fabio La Foresta Italy 18 743 1.3× 423 1.3× 306 1.2× 203 0.8× 81 0.6× 58 1.3k
G. Castellanos-Domínguez Colombia 20 481 0.8× 490 1.5× 252 1.0× 175 0.7× 229 1.6× 195 1.8k
Sumair Aziz Pakistan 22 286 0.5× 162 0.5× 416 1.6× 455 1.9× 140 1.0× 108 1.3k
Banghua Yang China 18 855 1.5× 312 1.0× 115 0.4× 120 0.5× 85 0.6× 108 1.3k
Abhijit Bhattacharyya India 16 995 1.7× 558 1.7× 438 1.7× 112 0.5× 150 1.1× 37 1.5k
M. Kemal Kıymık Türkiye 13 645 1.1× 325 1.0× 201 0.8× 211 0.9× 48 0.3× 23 1.0k
Mehmet Akın Türkiye 14 710 1.2× 271 0.8× 253 1.0× 232 1.0× 63 0.4× 25 1.1k
Pradip Sircar India 16 376 0.7× 473 1.4× 142 0.5× 94 0.4× 199 1.4× 57 993
Emina Aličković Sweden 13 865 1.5× 343 1.0× 270 1.0× 137 0.6× 101 0.7× 38 1.4k
Wanzhong Chen China 22 1.3k 2.2× 686 2.1× 343 1.3× 133 0.5× 165 1.2× 83 1.7k

Countries citing papers authored by Abhay Upadhyay

Since Specialization
Citations

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

Fields of papers citing papers by Abhay Upadhyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhay Upadhyay

This figure shows the co-authorship network connecting the top 25 collaborators of Abhay Upadhyay. A scholar is included among the top collaborators of Abhay Upadhyay 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 Abhay Upadhyay. Abhay Upadhyay 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
3.
Upadhyay, Deepak, et al.. (2024). Machine Learning-driven Antenna Selection Strategies for Fading MIMO Systems. 1–6. 1 indexed citations
5.
8.
Upadhyay, Deepak, et al.. (2024). Multi-Layered Security Techniques for Protecting Cooperative Relay Networks from Eavesdropping. 14–19. 1 indexed citations
9.
Upadhyay, Deepak, et al.. (2024). Channel Capacity Enhancement in Dual Branch MRC under Extreme Fading Using Quantum Computing. 1–5. 3 indexed citations
14.
Upadhyay, Deepak, et al.. (2024). An Approach of Fog Computing and Edge Computing for Computing Resources Optimization Strategies. 142–146. 8 indexed citations
15.
Sharma, Rishi Raj, et al.. (2023). Automated Variational Nonlinear Chirp Mode Decomposition for Bearing Fault Diagnosis. IEEE Transactions on Industrial Informatics. 19(11). 10873–10882. 27 indexed citations
16.
Kumar, Mohit, et al.. (2021). Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method. Biomedical Signal Processing and Control. 71. 103098–103098. 49 indexed citations
17.
Sharma, Rajeev, Ram Bilas Pachori, & Abhay Upadhyay. (2017). Automatic sleep stages classification based on iterative filtering of electroencephalogram signals. Neural Computing and Applications. 28(10). 2959–2978. 160 indexed citations
18.
Bhattacharyya, Abhijit, Ram Bilas Pachori, Abhay Upadhyay, & U. Rajendra Acharya. (2017). Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals. Applied Sciences. 7(4). 385–385. 226 indexed citations
19.
Patidar, Shivnarayan, Ram Bilas Pachori, Abhay Upadhyay, & U. Rajendra Acharya. (2016). An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism. Applied Soft Computing. 50. 71–78. 97 indexed citations
20.
Upadhyay, Abhay, et al.. (2014). Depth Estimation Analysis Using Sum of Absolute Difference Algorithm. International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering. 3(1). 6761–6767. 5 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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