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How has Md Morshed Alam's publication output changed over time?
ScholarIQpublication output · 2020–2026
Output declined75% over the shown period — from 4 works in 2020 to 1 in 2026.
4
1
2
2
1
1
202020212022202320252026
What are the most-cited papers on Md Morshed Alam?
ScholarIQmost cited works
Formulation of a Hybrid Nanofertilizer for Slow and Sustainable Release of Micronutrients
Chaitaly Tarafder, M. Daizy, Md Morshed Alam, Md. Ripon Ali, Md. Jahidul Islam, Rakibul Islam, Md Sohel Ahommed, Mohamed Aly Saad Aly, Md. Zaved Hossain Khan
ACS Omega. 2020247 CitationsOPEN ACCESS
Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects
M.Y. Arafat, M. J. Hossain, Md Morshed Alam
S68497187. 2023110 CitationsOPEN ACCESS
Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system
Md Morshed Alam, Md. Habibur Rahman, Md. Faisal Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
Scientific Reports. 202290 CitationsOPEN ACCESS
Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions
Md Morshed Alam, M. J. Hossain, Md Ahasan Habib, M.Y. Arafat, Mohammed Abdul Hannan
S68497187. 202555 CitationsOPEN ACCESS
RF-Enabled Deep-Learning-Assisted Drone Detection and Identification: An End-to-End Approach
Syed Samiul Alam, Arbil Chakma, Md. Habibur Rahman, Raihan Bin Mofidul, Md Morshed Alam, Ida Bagus Krishna Yoga Utama, Yeong Min Jang
Sensors. 202353 CitationsOPEN ACCESS
Related on ScholarIQ
University of Technology Sydney
Institution
Formulation of a Hybrid Nanofertilizer for Slow and Sustainable Release of Micronutrients
Paper
Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects
Paper
Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system
Paper
Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions
Paper
RF-Enabled Deep-Learning-Assisted Drone Detection and Identification: An End-to-End Approach
Paper