Mahmudul Hasan

1.0k total citations · 1 hit paper
10 papers, 625 citations indexed

About

Mahmudul Hasan is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahmudul Hasan has authored 10 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Health Information Management and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahmudul Hasan's work include Artificial Intelligence in Healthcare (2 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mahmudul Hasan is often cited by papers focused on Artificial Intelligence in Healthcare (2 papers), AI in cancer detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mahmudul Hasan collaborates with scholars based in Bangladesh, United States and Malaysia. Mahmudul Hasan's co-authors include Eklas Hossain, Md. Ashraful Alam, Md. Kamrul Hasan, Dola Das, Md. Milon Islam, Md. Rezwanul Haque, Muhammad Nomani Kabir, Hasib Iqbal, Md. Munirul Hasan and Ahsan Habib and has published in prestigious journals such as IEEE Access, JMIR mhealth and uhealth and Lecture notes in computer science.

In The Last Decade

Mahmudul Hasan

8 papers receiving 574 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.

Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers

2020 341 citations Md. Kamrul Hasan, Md. Ashraful Alam et al. IEEE Access profile →

Peers

Countries citing papers authored by Mahmudul Hasan

Since Specialization

Citations

This map shows the geographic impact of Mahmudul Hasan'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 Mahmudul Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmudul Hasan more than expected).

Fields of papers citing papers by Mahmudul Hasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahmudul Hasan. 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 Mahmudul Hasan. The network helps show where Mahmudul Hasan may publish in the future.

Co-authorship network of co-authors of Mahmudul Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmudul Hasan. A scholar is included among the top collaborators of Mahmudul Hasan 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 Mahmudul Hasan. Mahmudul Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

#	Work	Indexed citations
1	Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images 2024 ·Lecture notes in computer science ·Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel Saltz, Chao Chen	1
2	How Do Influencers Use Falsehoods to Establish Credibility on Social Media? 2023 ·SSRN Electronic Journal ·(unknown), Mahmudul Hasan	1
3	Design of CanSat for Environmental Monitoring and Object Detection 2021 ·Mahmudul Hasan, (unknown), (unknown), (unknown)	7
4	Automated Hand Gesture Recognition Using Machine Learning 2021 ·(unknown), Mahmudul Hasan, (unknown), Mosabber Uddin Ahmed	0
5	Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations 2020 ·JMIR mhealth and uhealth ·(unknown), (unknown), Md Ishrak Islam Zarif, Mahmudul Hasan, M. M. A. Hashem, Shion Guha, Richard R. Love, Sheikh Iqbal Ahamed	27
6	Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics 2020 ·Current Pathobiology Reports ·Rajarsi Gupta, (unknown), John Van Arnam, (unknown), Mahmudul Hasan, Dimitris Samaras, Tahsin Kurç, Joel Saltz	5
7	Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers breakdown → 2020 ·IEEE Access ·Md. Kamrul Hasan, Md. Ashraful Alam, Dola Das, Eklas Hossain, Mahmudul Hasan	341
8	Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques 2020 ·SN Computer Science ·Md. Milon Islam, Md. Rezwanul Haque, Hasib Iqbal, Md. Munirul Hasan, Mahmudul Hasan, Muhammad Nomani Kabir	220
9	Staircase Detection to Guide Visually Impaired People: A Hybrid Approach 2019 ·Revue d intelligence artificielle ·Ahsan Habib, Md. Milon Islam, Muhammad Kabir, (unknown), Mahmudul Hasan	23
10	Impact of tracking requirements on space-based radar (SBR) design 1990 ·Mahmudul Hasan	0

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.

Explore authors with similar magnitude of impact