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About the database ScholarIQanswers from OpenAlex & ORCID
How has M. Raihan's publication output changed over time?
ScholarIQpublication output · 2016–2025
Output grew0% over the shown period — from 1 works in 2016 to 1 in 2025.
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2016201720192020202120232025
What are the most-cited papers on M. Raihan?
ScholarIQmost cited works
Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm
Sajib Kabiraj, M. Raihan, Nasif Alvi, Marina Afrin, Laboni Akter, Shawmi Akhter Sohagi, Etu Podder
2020143 Citations
Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms
Md. Mehedi Hassan, Md. Mahedi Hassan, Md. Mahedi Hassan, Md. Mahedi Hassan, Laboni Akter, Md. Mushfiqur Rahman, Sadika Zaman, Khan Md. Hasib, Nusrat Jahan, Raisun Nasa Smrity, Jerin Farhana, M. Raihan, Swarnali Mollick
Human-Centric Intelligent Systems. 2021143 CitationsOPEN ACCESS
A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease
Mounita Ghosh, Md. Mohsin Sarker Raihan, M. Raihan, Laboni Akter, Anupam Kumar Bairagi, Sultan S. Alshamrani, Mehedi Masud
S40639465. 202161 CitationsOPEN ACCESS
Smartphone based ischemic heart disease (heart attack) risk prediction using clinical data and data mining approaches, a prototype design
M. Raihan, Saikat Mondal, Arun More, Md. Omar Faruqe Sagor, Gopal Sikder, Mahbub Arab Majumder, Mohammad Abdullah Al Manjur, Kushal Kanti Ghosh
201643 Citations
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
Related on ScholarIQ
Shahjalal University of Science and Technology
Institution
Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm
Paper
Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms
Paper
A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease
Paper
Smartphone based ischemic heart disease (heart attack) risk prediction using clinical data and data mining approaches, a prototype design
Paper
A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI)
Paper