Neha Yadav
About
Neha Yadav has authored 10 papers that have received a total of 294 indexed citations.
This includes 6 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 3 papers in Modeling and Simulation. The topics of these papers are Neural Networks and Applications (3 papers), Fractional Differential Equations Solutions (3 papers) and Model Reduction and Neural Networks (2 papers). Neha Yadav is often cited by papers focused on Neural Networks and Applications (3 papers), Fractional Differential Equations Solutions (3 papers) and Model Reduction and Neural Networks (2 papers) and collaborates with scholars based in India, Iran and South Korea. Neha Yadav's co-authors include Anupam Yadav, Manoj Kumar, Ali Sadollah, Dharmveer Singh Rajpoot and Shyam Akashe and has published in prestigious journals such as Journal of the Franklin Institute, Computers & Mathematics with Applications and Neural Computing and Applications
In The Last Decade
Explore authors with similar magnitude of impact
Top fields papers by Othmar Müntener are about Top journals papers by Lena F. Schimke are published in Top countries impacted by papers by Jasmin Sadat Top fields papers by Yoo Kyung Lee are about Top authors papers by Vivi-Anne Rahm are co-authored with Top fields papers by Victoria A. Komater are about Top countries impacted by papers by Bárbara Langdon Top countries impacted by papers by Stuart Jones