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About the database ScholarIQanswers from OpenAlex & ORCID
How has Md. Mahedi Hasan's publication output changed over time?
ScholarIQpublication output · 2009–2025
Output grew0% over the shown period — from 1 works in 2009 to 1 in 2025.
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1
1
2009202320242025
What are the most-cited papers on Md. Mahedi Hasan?
ScholarIQmost cited works
A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI)
Anjan Debnath, Md. Mahedi Hasan, M. Raihan, Nadim Samrat, Mashael M. Alsulami, Mehedi Masud, Anupam Kumar Bairagi
Sensors. 202341 CitationsOPEN ACCESS
A Comparative Study of EEG Signal Based Eye State Detection Using Deep Learning
Zahrul Jannat Peya, Nurzahan Akter Joly, Md. Mahedi Hasan
20232 Citations
Heterosis for yield and yield contributing traits in aromatic rice (Oryza sativa L.).
Mohammad Sharif Raihan, Md. Mahedi Hasan
Annals of Bangladesh Agriculture. 20091 CitationsOPEN ACCESS
Predicting Depressive Behavior with Monitoring Activity Data Using Machine Learning and Feature Selection Approaches
Md. Hosain Sarder, M. Raihan, Anjan Debnath, Md. Shymon Islam, Nadim Samrat, Riyana Islam Efty, Md. Mahedi Hasan, Md. Fahim-Uz-Zaman
20241 Citations
Exploring Deep Learning for Apple Leaf Disease Detection with Explainable AI
Swan Mollick, Hirak Mondal, Md. Abul Ala Walid, Md. Mahedi Hasan, M. Raihan, Anupam Kumar Bairagi
20250 Citations
Related on ScholarIQ
A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI)
Paper
A Comparative Study of EEG Signal Based Eye State Detection Using Deep Learning
Paper
Heterosis for yield and yield contributing traits in aromatic rice (Oryza sativa L.).
Paper
Predicting Depressive Behavior with Monitoring Activity Data Using Machine Learning and Feature Selection Approaches
Paper
Exploring Deep Learning for Apple Leaf Disease Detection with Explainable AI
Paper
Smart Agriculture and AI
Topic