Zeinab Sherkatghanad

About Zeinab Sherkatghanad

Zeinab Sherkatghanad, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Isfahan University of Technology, specializes in the field of Data Science, Machine Learning, Deep Learning, Computer Vision, Astrophysics.

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

A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries

Using Traditional Machine Learning and Deep Learning Methods for On-and Off-Target Prediction in CRISPR/Cas9: A Review

Automated detection of autism spectrum disorder using a convolutional neural network

Zeinab Sherkatghanad Information

University

Position

___

Citations(all)

1193

Citations(since 2020)

731

Cited By

744

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Zeinab Sherkatghanad Skills & Research Interests

Data Science

Machine Learning

Deep Learning

Computer Vision

Astrophysics

Top articles of Zeinab Sherkatghanad

A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries

Journal of Energy Storage

2024/5/30

Using Traditional Machine Learning and Deep Learning Methods for On-and Off-Target Prediction in CRISPR/Cas9: A Review

Briefings in Bioinformatics

2023/4/23

Automated detection of autism spectrum disorder using a convolutional neural network

Frontiers in neuroscience

2020/1/14

See List of Professors in Zeinab Sherkatghanad University(Isfahan University of Technology)

Co-Authors

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