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Mohan Kumar Gajendran

ResearcherPublications, citations & collaboration network

Mohan Kumar Gajendran is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 17 works, 215 citations, an h-index of 6 and an i10-index of 6.

17
Works
215
Citations
6
h-index
6
i10-index

How has Mohan Kumar Gajendran's publication output changed over time?

ScholarIQpublication output · 2021–2026

Output declined50% over the shown period — from 2 works in 2021 to 1 in 2026.

2
3
2
2
1
1
202120222023202420252026

What are the most-cited papers on Mohan Kumar Gajendran?

ScholarIQmost cited works
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, Muazzam A. Khan
IEEE Access. 202199 CitationsOPEN ACCESS
ECG Classification using Deep Transfer Learning
Mohan Kumar Gajendran, Muhammad Zubair Khan, Muazzam A. Khan
202131 Citations
Novel Machine-Learning Based Framework Using Electroretinography Data for the Detection of Early-Stage Glaucoma
Mohan Kumar Gajendran, Landon J. Rohowetz, Peter Koulen, A. Mehdizadeh
S115201632. 202225 CitationsOPEN ACCESS
Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions
Mohan Kumar Gajendran, Ijaz Fazil Syed Ahmed Kabir, Sudhakar Vadivelu, E. Y. K. Ng
S2736865057. 202324 CitationsOPEN ACCESS
Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction
Ijaz Fazil Syed Ahmed Kabir, Mohan Kumar Gajendran, E. Y. K. Ng, A. Mehdizadeh, Abdallah S. Berrouk
Wind. 202215 CitationsOPEN ACCESS

Related on ScholarIQ

University of Missouri–Kansas City
Institution
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Paper
ECG Classification using Deep Transfer Learning
Paper
Novel Machine-Learning Based Framework Using Electroretinography Data for the Detection of Early-Stage Glaucoma
Paper
Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions
Paper
Novel Machine-Learning-Based Stall Delay Correction Model for Improving Blade Element Momentum Analysis in Wind Turbine Performance Prediction
Paper
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