Ram Narayan Yadav

1.6k total citations · 1 hit paper
57 papers, 1.1k citations indexed

About

Ram Narayan Yadav is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ram Narayan Yadav has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Ram Narayan Yadav's work include Neural Networks and Applications (16 papers), Blind Source Separation Techniques (10 papers) and Image and Signal Denoising Methods (9 papers). Ram Narayan Yadav is often cited by papers focused on Neural Networks and Applications (16 papers), Blind Source Separation Techniques (10 papers) and Image and Signal Denoising Methods (9 papers). Ram Narayan Yadav collaborates with scholars based in India. Ram Narayan Yadav's co-authors include S. C. Shrivastava, Lalita Gupta, Rini Smita Thakur, Prem Kalra, Shubhojeet Chatterjee, Jisha John, D. K. Raghuvanshi, Abhishek Rawat, Supriya Aggarwal and Sanyam Shukla and has published in prestigious journals such as IEEE Access, Neurocomputing and Journal of the Franklin Institute.

In The Last Decade

Ram Narayan Yadav

54 papers receiving 1.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Review of noise removal techniques in ECG signals

2020 205 citations Rini Smita Thakur, Ram Narayan Yadav et al. profile →

Peers

Countries citing papers authored by Ram Narayan Yadav

Since Specialization

Citations

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

Fields of papers citing papers by Ram Narayan Yadav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Narayan Yadav. 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 Ram Narayan Yadav. The network helps show where Ram Narayan Yadav may publish in the future.

Co-authorship network of co-authors of Ram Narayan Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Narayan Yadav. A scholar is included among the top collaborators of Ram Narayan Yadav 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 Ram Narayan Yadav. Ram Narayan Yadav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	U-SRN: Convolutional Neural network for single image super resolution 2023 ·Multimedia Tools and Applications ·(unknown), Ram Narayan Yadav	0
2	State-of-the-Art Analysis of Deep Learning-Based Monaural Speech Source Separation Techniques 2023 ·IEEE Access ·(unknown), Ram Narayan Yadav, Lalita Gupta	8
3	A Review of Single Image Super Resolution Techniques using Convolutional Neural Networks 2023 ·Multimedia Tools and Applications ·(unknown), Ram Narayan Yadav	8
4	Key facial points recognition using ResNet 2022 ·Materials Today Proceedings ·(unknown), Ram Narayan Yadav	3
5	Rheumatological Manifestations in HIV-Positive Patients: A Single-Center Study 2020 ·Advances in Therapy ·(unknown), Avik Chakraborty, Ram Narayan Yadav, (unknown)	4
6	A Comprehensible Form of the Product of Two Gaussian Q Functions and its Usefulness in κ−μ Shadowed Fading Distribution 2020 ·Journal of the Franklin Institute ·(unknown), Ram Narayan Yadav	7
7	State‐of‐art analysis of image denoising methods using convolutional neural networks 2019 ·IET Image Processing ·Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta	55
8	On the average of the product of two Gaussian Q functions over η − μ and κ − μ fading channels using MRC diversity reception 2019 ·IET Communications ·(unknown), Ram Narayan Yadav	4
9	A simplified exact expression of SEP for cross QAM in AWGN channel from M × N rectangular QAM and its usefulness in Nakagami- m fading channel 2017 ·AEU - International Journal of Electronics and Communications ·(unknown), Ram Narayan Yadav	24
10	Face recognition from video using generalized mean deep learning neural network 2016 ·Poonam Sharma, Ram Narayan Yadav, K. V. Arya	3
11	Analysis of statistical features for fault detection in ball bearing 2015 ·Sanyam Shukla, Ram Narayan Yadav, Jivitesh Sharma, (unknown)	28
12	Voting based Extreme Learning Machine with Accuracy based Ensemble Pruning 2015 ·International Journal of Computer Applications ·Sanyam Shukla, Ram Narayan Yadav	8
13	Voting based Extreme learning machine with entropy based ensemble pruning 2015 ·Sanyam Shukla, Ram Narayan Yadav	2
14	Neural network applications in smart antenna arrays: A review 2012 ·AEU - International Journal of Electronics and Communications ·Abhishek Rawat, Ram Narayan Yadav, S. C. Shrivastava	94
15	Neural Modeling of 15 Element Dynamic Phased Array Smart Antenna 2009 ·Abhishek Rawat, Ram Narayan Yadav, S. C. Shrivastava	2
16	A Compact Pi Network For Reducing Bit Error Rate In Dispersive Fir Channel Noise Model 2009 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), Ram Narayan Yadav, S. C. Shrivastava, (unknown)	9
17	Learning with generalized-mean neuron model 2006 ·Neurocomputing ·Ram Narayan Yadav, (unknown), Prem Kalra, (unknown)	13
18	Modeling with Recurrent Neural Networks using Generalized Mean Neuron Model 2005 ·(unknown), Ram Narayan Yadav, Prem Kalra, Jisha John	3
19	Multi-layer neural networks using generalized-mean neuron model 2005 ·Ram Narayan Yadav, Naresh Kumar, Prem Kalra, Jisha John	3
20	Classification using single neuron 2004 ·Ram Narayan Yadav, Vikas Singh, Prem Kalra	10

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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