Md. Kamrul Hasan

3.3k total citations · 2 hit papers
67 papers, 2.0k citations indexed

About

Md. Kamrul Hasan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Md. Kamrul Hasan has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Cognitive Neuroscience. Recurrent topics in Md. Kamrul Hasan's work include EEG and Brain-Computer Interfaces (10 papers), AI in cancer detection (8 papers) and Artificial Intelligence in Healthcare (7 papers). Md. Kamrul Hasan is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), AI in cancer detection (8 papers) and Artificial Intelligence in Healthcare (7 papers). Md. Kamrul Hasan collaborates with scholars based in Bangladesh, United States and Spain. Md. Kamrul Hasan's co-authors include Md. Ashraful Alam, Md. Milon Islam, Eklas Hossain, Dola Das, Mahmudul Hasan, Louis–Philippe Morency, Wasifur Rahman, Chengfeng Mao, AmirAli Bagher Zadeh and Sangwu Lee and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and International Journal of Environmental Research and Public Health.

In The Last Decade

Md. Kamrul Hasan

56 papers receiving 1.9k citations

Hit Papers

Integrating Multimodal Information in Large Pretrained Tr... 2020 2026 2022 2024 2020 2020 100 200 300
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.

  1. Integrating Multimodal Information in Large Pretrained Transformers
    2020 351 citations Wasifur Rahman, Md. Kamrul Hasan et al. PubMed profile →
  2. Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
    2020 341 citations Md. Kamrul Hasan, Md. Ashraful Alam et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Md. Kamrul Hasan Bangladesh 20 1.1k 467 394 298 211 67 2.0k
Damodar Reddy Edla India 29 959 0.9× 285 0.6× 243 0.6× 418 1.4× 51 0.2× 166 2.8k
Yogesh Kumar India 27 683 0.6× 258 0.6× 332 0.8× 290 1.0× 41 0.2× 130 2.0k
İbrahim Türkoğlu Türkiye 22 913 0.9× 572 1.2× 316 0.8× 483 1.6× 120 0.6× 104 2.4k
Paweł Pławiak Poland 31 1.2k 1.1× 494 1.1× 545 1.4× 582 2.0× 84 0.4× 128 4.1k
Fahime Khozeimeh Iran 19 655 0.6× 403 0.9× 210 0.5× 455 1.5× 25 0.1× 29 1.8k
Steven Lawrence Fernandes India 31 1.2k 1.1× 159 0.3× 1.8k 4.7× 895 3.0× 71 0.3× 88 3.5k
Afshin Shoeibi Iran 29 836 0.8× 127 0.3× 562 1.4× 662 2.2× 146 0.7× 60 2.9k
Narendra D. Londhe India 25 438 0.4× 75 0.2× 256 0.6× 492 1.7× 64 0.3× 125 1.9k
Parvathaneni Naga Srinivasu India 21 673 0.6× 193 0.4× 385 1.0× 274 0.9× 22 0.1× 56 1.8k
Asif Karim Australia 24 910 0.9× 380 0.8× 282 0.7× 536 1.8× 21 0.1× 81 2.1k

Countries citing papers authored by Md. Kamrul Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Md. Kamrul Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Kamrul Hasan

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

All Works

20 of 20 papers shown
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Barua, Sumit, et al.. (2024). Modified Bentall procedure with mitral valve replacement in a patient with Marfan syndrome: a case report. International Journal of Research in Medical Sciences. 12(7). 2571–2575. 1 indexed citations
3.
Hasan, Md. Kamrul, et al.. (2024). Heart Disease Classification with XAI and Kernel SHAP. 82–85.
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Mahmud, Hasan, et al.. (2023). Math Word Problem Solving by Generating Linguistic Variants of Problem Statements. 362–378. 2 indexed citations
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Hasan, Md. Kamrul, et al.. (2023). A survey, review, and future trends of skin lesion segmentation and classification. Computers in Biology and Medicine. 155. 106624–106624. 80 indexed citations
8.
Hasan, Md. Kamrul, et al.. (2022). DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation. Informatics in Medicine Unlocked. 28. 100819–100819. 95 indexed citations
9.
Dutta, Aishwariya, Md. Kamrul Hasan, Mohiuddin Ahmad, et al.. (2022). Early Prediction of Diabetes Using an Ensemble of Machine Learning Models. International Journal of Environmental Research and Public Health. 19(19). 12378–12378. 65 indexed citations
10.
Hasan, Md. Kamrul, et al.. (2022). Challenges of deep learning methods for COVID-19 detection using public datasets. Informatics in Medicine Unlocked. 30. 100945–100945. 16 indexed citations
11.
Hasan, Md. Kamrul, Md. Ashraful Alam, Shidhartho Roy, et al.. (2021). Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021). Informatics in Medicine Unlocked. 27. 100799–100799. 81 indexed citations
12.
Hasan, Md. Kamrul, Md. Tasnim Jawad, Aishwariya Dutta, et al.. (2021). Associating Measles Vaccine Uptake Classification and its Underlying Factors Using an Ensemble of Machine Learning Models. IEEE Access. 9. 119613–119628. 17 indexed citations
13.
Hasan, Md. Kamrul, Mohiuddin Ahmad, Md. Abdul Awal, et al.. (2021). Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images. Informatics in Medicine Unlocked. 27. 100794–100794. 39 indexed citations
14.
Islam, Md. Rabiul, Mohammad Ali Moni, Md. Milon Islam, et al.. (2021). Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access. 9. 94601–94624. 129 indexed citations
15.
Rahman, Wasifur, Md. Kamrul Hasan, Sangwu Lee, et al.. (2020). Integrating Multimodal Information in Large Pretrained Transformers. PubMed. 2020. 2359–2369. 351 indexed citations breakdown →
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Hasan, Md. Kamrul, Sungyoung Lee, & Young-Koo Lee. (2010). Using Sensor Sequences for Activity Recognition by Mining and Multi-Class Adaboost.. International Conference on Artificial Intelligence. 735–740. 3 indexed citations
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Hasan, Md. Kamrul, et al.. (2008). Mapping of Activity Recognition as a Distributed Inference Problem in Sensor Network.. International Conference on Artificial Intelligence. 280–285. 4 indexed citations
20.
Humphreys, R. M., et al.. (2001). Experiments in Automating the Morphological Classification of Galaxies. American Astronomical Society Meeting Abstracts. 199. 1 indexed citations

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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