Prof. Vikas Saxena

About Prof. Vikas Saxena

Prof. Vikas Saxena, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at Jaypee Institute of Information Technology, specializes in the field of Image Processing, Computer Vision, IPR, Software Engineering, IT for society.

His recent articles reflect a diverse array of research interests and contributions to the field:

Video Captioning Based on Graph Neural Network Made from Action Knowledge and Object Features

A Novel Method for Sequence Generation for Video Captioning by Estimating the Objects Motion in Temporal Domain

The Quantum Cryptography Approach: Unleashing the Potential of Quantum Key Reconciliation Protocol for Secure Communication

Evaluation of an Enhanced Secure Quantum Communication Approach Check for updates

Video Annotation & Descriptions using Machine Learning & Deep learning: Critical Survey of methods

Fast Video Classification based on unidirectional temporal differences based dynamic spatial selection with custom loss function and new class suggestion

A Hurst-based Diffusion Model using Time Series Characteristics for Influence Maximization in Social Networks

A Hurst‐based diffusion model using time series characteristics for influence maximization in social networks

Prof. Vikas Saxena Information

University

Position

Professor & Head(CSE&IT) India

Citations(all)

2764

Citations(since 2020)

2202

Cited By

1141

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

31

i10Index(since 2020)

22

Email

University Profile Page

Jaypee Institute of Information Technology

Google Scholar

View Google Scholar Profile

Prof. Vikas Saxena Skills & Research Interests

Image Processing

Computer Vision

IPR

Software Engineering

IT for society

Top articles of Prof. Vikas Saxena

Title

Journal

Author(s)

Publication Date

Video Captioning Based on Graph Neural Network Made from Action Knowledge and Object Features

International Journal of Performability Engineering

Prashant Kaushik

Vikas Saxena

Amarjeet Prajapati

2024/4/28

A Novel Method for Sequence Generation for Video Captioning by Estimating the Objects Motion in Temporal Domain

Prashant Kaushik

Vikas Saxena

Amarjeet Prajapati

2024/3/15

The Quantum Cryptography Approach: Unleashing the Potential of Quantum Key Reconciliation Protocol for Secure Communication

arXiv preprint arXiv:2401.08987

Neha Sharma

Vikas Saxena

2024/1/17

Evaluation of an Enhanced Secure Quantum Communication Approach Check for updates

Advances in IoT and Security with Computational Intelligence: Proceedings of ICAISA 2023, Volume 1

Neha Sharma

Vikas Saxena

2023/9/22

Video Annotation & Descriptions using Machine Learning & Deep learning: Critical Survey of methods

Prashant Kaushik

Vikas Saxena

2023/8/3

Fast Video Classification based on unidirectional temporal differences based dynamic spatial selection with custom loss function and new class suggestion

Prashant Kaushik

Vikas Saxena

2023/5/11

A Hurst-based Diffusion Model using Time Series Characteristics for Influence Maximization in Social Networks

Authorea Preprints

Vinay Chamola

Bhawna Saxena

Vikas Saxena

Nishit Anand

Vikas Hassija

...

2023/2/24

A Hurst‐based diffusion model using time series characteristics for influence maximization in social networks

Expert Systems

Bhawna Saxena

Vikas Saxena

Nishit Anand

Vikas Hassija

Vinay Chamola

...

2023/11

Artificial intelligence-assisted blockchain-based framework for smart and secure EMR management

Neural Computing and Applications

Vinay Chamola

Adit Goyal

Pranab Sharma

Vikas Hassija

Huynh Thi Thanh Binh

...

2023/11

A K-Means clustering and SVM based hybrid concept drift detection technique for network anomaly detection

Expert Systems with Applications

Meenal Jain

Gagandeep Kaur

Vikas Saxena

2022/5/1

Hurst exponent based approach for influence maximization in social networks

Journal of King Saud University-Computer and Information Sciences

Bhawna Saxena

Vikas Saxena

2022/5/1

An ECOSVS-based support vector machine for network anomaly detection

International Journal of Data Analysis Techniques and Strategies

Meenal Jain

Vikas Saxena

2022

An efficient polynomial based quantum key distribution approach for secure communication

Neha Sharma

Vikas Saxena

2022/12/1

Identification of endometrial tuberculosis in infertility using Non-Subsampled Contourlet based convolution neural network

Expert Systems with Applications

Varsha Garg

Anita Sahoo

Vikas Saxena

2022/9/15

Gradient Local Auto Correlation Co-occurrence Machine Learning Model for Endometrial Tuberculosis Identification

Varsha Garg

Anita Sahoo

Vikas Saxena

2021

A cognitive approach to endometrial tuberculosis identification using hierarchical deep fusion method

Soft Computing

Varsha Garg

Anita Sahoo

Vikas Saxena

2021/11/5

Quantum communication: Concept, applications, and future outlook

Tanya Rastogi

Vikas Hassija

Vikas Saxena

2021/8/5

Fusion Framework for Morphological and Multispectral Textural Features for Identification of Endometrial Tuberculosis

Varsha Garg

Anita Sahoo

Vikas Saxena

2021/8/5

Enhanced textural analysis for endometrial tuberculosis identification from ultrasound images

International Journal of Information Technology

Varsha Garg

Anita Sahoo

Vikas Saxena

2021/4

A mobile data offloading framework based on a combination of blockchain and virtual voting

Software: Practice and Experience

Vikas Hassija

Vikas Saxena

Vinay Chamola

2021/12

See List of Professors in Prof. Vikas Saxena University(Jaypee Institute of Information Technology)

Co-Authors

H-index: 112
Mohsen Guizani, FIEEE

Mohsen Guizani, FIEEE

Qatar University

H-index: 104
F. Richard Yu

F. Richard Yu

Carleton University

H-index: 52
Biplab Sikdar

Biplab Sikdar

National University of Singapore

H-index: 46
Vinay Chamola, Fellow, IET; Senior Member, IEEE

Vinay Chamola, Fellow, IET; Senior Member, IEEE

Birla Institute of Technology and Science

H-index: 22
Huynh Thi Thanh Binh

Huynh Thi Thanh Binh

Hanoi University of Science and Technology

H-index: 19
Dr. Sandeep Kumar  Singh

Dr. Sandeep Kumar Singh

Jaypee Institute of Information Technology

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