Md Saef Ullah Miah

863 total citations · 1 hit paper
52 papers, 432 citations indexed

About

Md Saef Ullah Miah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Md Saef Ullah Miah has authored 52 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Md Saef Ullah Miah's work include Advanced Text Analysis Techniques (9 papers), IoT and Edge/Fog Computing (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Md Saef Ullah Miah is often cited by papers focused on Advanced Text Analysis Techniques (9 papers), IoT and Edge/Fog Computing (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). Md Saef Ullah Miah collaborates with scholars based in Bangladesh, Malaysia and South Korea. Md Saef Ullah Miah's co-authors include Talha Bin Sarwar, Sultan Alfarhood, Mejdl Safran, Md. Mohsin Kabir, Anupam Kumar Bairagi, Saydul Akbar Murad, Al Imran, Achintya K. Bhowmik, Sultan Aljahdali and Tanvir Zaman Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Md Saef Ullah Miah

46 papers receiving 416 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM

2024 56 citations Md Saef Ullah Miah, Talha Bin Sarwar et al. profile →

Peers

Countries citing papers authored by Md Saef Ullah Miah

Since Specialization

Citations

This map shows the geographic impact of Md Saef Ullah Miah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Md Saef Ullah Miah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Saef Ullah Miah more than expected).

Fields of papers citing papers by Md Saef Ullah Miah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Saef Ullah Miah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Md Saef Ullah Miah. The network helps show where Md Saef Ullah Miah may publish in the future.

Co-authorship network of co-authors of Md Saef Ullah Miah

This figure shows the co-authorship network connecting the top 25 collaborators of Md Saef Ullah Miah. A scholar is included among the top collaborators of Md Saef Ullah Miah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Md Saef Ullah Miah. Md Saef Ullah Miah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques 2025 ·IEEE Access ·(unknown), (unknown), (unknown), Md. Jakir Hossen, (unknown), Md Saef Ullah Miah	2
2	Thalassemia dataset covering clinical, socioeconomic, and mental health aspects 2025 ·Data in Brief ·(unknown), Md. Jamal Hossain, Md Saef Ullah Miah, (unknown), Rajiv Chowdhury, (unknown)	0
3	A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction 2024 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Md Saef Ullah Miah, Md. Jakir Hossen, Md. Kishor Morol, Mufti Mahmud, (unknown)	10
4	A comprehensive dental dataset of six classes for deep learning based object detection study 2024 ·Data in Brief ·(unknown), (unknown), (unknown), (unknown), Md Saef Ullah Miah, M. F. Mridha	2
5	Explainable deep learning for diabetes diagnosis with DeepNetX2 2024 ·Biomedical Signal Processing and Control ·(unknown), (unknown), (unknown), (unknown), M. F. Mridha, Md Saef Ullah Miah	12
6	Predictive Analysis of Internship and Job Placement Success in Computer Science Education 2024 ·(unknown), Md Saef Ullah Miah, (unknown), (unknown), (unknown)	0
7	An automated materials and processes identification tool for material informatics using deep learning approach 2023 ·Heliyon ·Md Saef Ullah Miah, (unknown), Talha Bin Sarwar, Nur Ibrahim, (unknown), Rajan Jose	6
8	Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh 2023 ·IEEE Access ·(unknown), (unknown), (unknown), (unknown), Md Saef Ullah Miah, Muhidul Islam Khan, Mohammad Iqbal Hossain	14
9	A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance 2023 ·(unknown), (unknown), Md Saef Ullah Miah, (unknown), (unknown)	2
10	Yus - A Deep Learning Algorithm for Collision Avoidance through Object and Vehicle Detection 2023 ·Journal of Advanced Research in Applied Sciences and Engineering Technology ·(unknown), (unknown), Md Saef Ullah Miah, (unknown)	2
11	4D: A Real-Time Driver Drowsiness Detector Using Deep Learning 2023 ·Electronics ·Israt Jahan, (unknown), Saydul Akbar Murad, Md Saef Ullah Miah, Tanvir Zaman Khan, Mehedi Masud, Sultan Aljahdali, Anupam Kumar Bairagi	31
12	Understanding the Dynamics of Dengue in Bangladesh: EDA, Climate Correlation, and Predictive Modeling 2023 ·(unknown), (unknown), (unknown), Md Saef Ullah Miah, (unknown)	2
13	Sentence Boundary Extraction from Scientific Literature of Electric Double Layer Capacitor Domain: Tools and Techniques 2022 ·Applied Sciences ·Md Saef Ullah Miah, (unknown), Talha Bin Sarwar, (unknown), (unknown), Kamal Z. Zamli, Rajan Jose	11
14	A machine learning approach for Bengali handwritten vowel character recognition 2022 ·IAES International Journal of Artificial Intelligence ·(unknown), (unknown), Talha Bin Sarwar, Md Saef Ullah Miah, (unknown)	3
15	A machine learning approach for Bengali handwritten vowel character recognition 2022 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), (unknown), Talha Bin Sarwar, Md Saef Ullah Miah, (unknown)	1
16	Predicting Young Imposter Syndrome Using Ensemble Learning 2022 ·Complexity ·Md. Nafiul Alam Khan, Md Saef Ullah Miah, Md. Shahjalal, Talha Bin Sarwar, (unknown)	8
17	ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy 2022 ·MethodsX ·(unknown), Dayang Rohaya Awang Rambli, Seyedali Mirjalili, Md Saef Ullah Miah, (unknown)	3
18	Awareness to Deepfake: A resistance mechanism to Deepfake 2021 ·(unknown), Md Saef Ullah Miah, (unknown), (unknown)	12
19	Intelligent Tour Planning System using Crowd Sourced Data 2018 ·International Journal of Education and Management Engineering ·Md Saef Ullah Miah, (unknown), (unknown), Hamidul Islam, (unknown), (unknown)	2
20	Face Recognition using Eigenfaces 2015 ·International Journal of Computer Applications ·(unknown), Md Saef Ullah Miah, (unknown), Achintya K. Bhowmik, (unknown)	23

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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