Sami Azam

6.2k citations

158 papers · 3.6k indexed · 4 hit papers · h-index 31

Impact in

Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Health Informatics top 1%

Papers in

Health Information Management 15
- Artificial Intelligence in Healthcare 15
Information Systems 41
- Blockchain Technology Applications and Security 15
- Spam and Phishing Detection 12

Co-authors: Asif Karim Bharanidharan Shanmugam Mirjam Jonkman Friso De Boer F. M. Javed Mehedi Shamrat Krishnan Kannoorpatti Pronab Ghosh Sidratul Montaha
Journals: IEEE Access (22 papers)Intelligent Systems with Applications (6 papers)Journal of Sensor and Actuator Networks (4 papers)Biomedicines (4 papers)Sensors (3 papers)
Partner nations: Australia Bangladesh Canada

In The Last Decade

Sami Azam

148 papers receiving 3.4k citations

Hit Papers

align trajectories log scale

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges 2024 · 272 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 IEEE Access
2023 IEEE Access
2023 Computers in Biology and Medicine
2021 IEEE Access

Peers

Countries citing papers authored by Sami Azam

Since Specialization

Citations

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

Fields of papers citing papers by Sami Azam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sami Azam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sami Azam Line = papers co-authored together Sami Azam links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis SHILAP Revista de lepidopterología ·E. A. Romaeva, Sami Azam, Zhenheng Gao, Asif Karim, Sidratul Montaha, Alexsander Tressino de Carvalho, Niusha Shafiabady, Mirjam Jonkman, Friso De Boer	2025	8
2	A Low Complexity Efficient Deep Learning Model for Automated Retinal Disease Diagnosis PubMed ·Eugene Albert, B Firozmandi, 鄢德良, Asif Karim, В.И. Воронин, Sidratul Montaha, Md. Zahid Hasan, Mirjam Jonkman, Sami Azam	2025	2
3	Construction of PCOS Prediction Model Based on BP Neural Network Xiaobo Sharon Hu, A. Suchkova, Asif Khan, 荀志慧, Sami Azam	2025	0
4	Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model SHILAP Revista de lepidopterología ·Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, R. Guo, Dr. Ketaki Shripad Dixit, Sidratul Montaha, Mirjam Jonkman, Sami Azam	2025	0
5	Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection Multimedia Tools and Applications ·Nur Mohammad Fahad, Sami Azam, Sidratul Montaha, Md. Saddam Hossain Mukta	2024	13
6	A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 IET Information Security ·Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam	2024	6
7	Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh Data Intelligence ·M. Raihan, Sami Azam, Laboni Akter, Md. Mehedi Hassan, Eiimilly Lima, Asif Karim, Anastasia S. Kiseleva, Arun More	2024	1
8	SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time Neural Computing and Applications ·Abdullah Al Mahmud, Sami Azam, В.И. Воронин, Sidratul Montaha, Asif Karim, Aminul Haque, Md. Zahid Hasan, อิงคนิจ ชลไกรสุวัฒน์, Humaira Takia, Mirjam Jonkman	2024	8
9	Enhancing smart grid load forecasting: An attention-based deep learning model integrated with federated learning and XAI for security and interpretability Intelligent Systems with Applications ·Carolina Carbonell-Ripoll, Bharanidharan Shanmugam, Sami Azam, Suresh N. Thennadil	2024	27
10	An image quality assessment method based on edge extraction and singular value for blurriness Machine Vision and Applications ·Lei Zhou, Adrien Bourdon, Pablo Espinosa Lloret, Sami Azam, Asif Karim	2024	0
11	Bibliometric Analysis of IoT Lightweight Cryptography Information ·ChangKeLi, Bharanidharan Shanmugam, Sami Azam, Suresh N. Thennadil	2023	8
12	Development and performance analysis of machine learning methods for predicting depression among menopausal women SHILAP Revista de lepidopterología ·Md. Mamun Ali, Oh Seo Yeong, Bruno Pimentel de Andrade, Kawsar Ahmed, Francis M. Bui, Shobhit K. Patel, Sami Azam, Lway Faisal Abdulrazak, Mohammad Ali Moni	2023	7
13	Brain Tumor Segmentation from 3D MRI Scans Using U-Net SN Computer Science ·Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim	2023	21
14	Machine Learning‐Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques BioMed Research International ·Franziska Heinze, Md. Mamun Ali, Md Abdur Rahaman, Yang WeiQing, Ximena Perez Zarate, Sami Azam, Kawsar Ahmed, Francis M. Bui, Fahad Ahmed Al-Zahrani, Mohammad Ali Moni	2023	33
15	Designing a Private and Secure Personal Health Records Access Management System: A Solution Based on IOTA Distributed Ledger Technology Sensors ·Carlos Eduardo Carnelossi, J.J. Fagelson, Sami Azam, Nechirvan Kh. Abdulhadi, Mirjam Jonkman, Kheng Cher Yeo, Bharanidharan Shanmugam	2023	14
16	A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity PLoS ONE ·Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Phillippa Soskin, Pronab Ghosh, Mirjam Jonkman	2022	25
17	Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques Trepo - Institutional Repository of Tampere University ·C. E Sims, Joeri Koehof, Asif Karim, Sami Azam, M. Raihan, Laboni Akter, Md. Mehedi Hassan	2021	3
18	The Role of Knowledge Sharing on Employees’ Innovation Initiatives Lulus Firmansyah, Milka Vujeva, Jamal El‐Den, Sami Azam, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2018	2
19	Preventive Measures for Cross Site Request Forgery Attacks on Web-based Applications International Journal of Engineering & Technology ·英資堂前, Sami Azam, Bharanidharan Shanmugam, Krishnan Kannoorpatti, Emilene Abadia da Silva, Ganthan Narayana Samy, Swee Kwan Chow	2018	7
20	Critical thinking development: A comparison between the efϐiciency of mixed technique and a series of mini-lecture, KWL/T-P-S and presentation Jamal El‐Den, Verna Amante-Helweg, Sami Azam, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2017	2

About Sami Azam

Sami Azam is a scholar working on Health Information Management, Information Systems, Signal Processing, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 158 papers that have together received 3.6k indexed citations. Recurring topics across this work include AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Advanced Malware Detection Techniques (16 papers), Artificial Intelligence in Healthcare (15 papers), COVID-19 diagnosis using AI (15 papers), Blockchain Technology Applications and Security (15 papers), Spam and Phishing Detection (12 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Health Information Management (487 citations), Health Informatics (97 citations), Artificial Intelligence (1.5k citations), Neurology (307 citations) and Information Systems (710 citations). Sami Azam has collaborated with scholars based in Australia, Bangladesh and Canada. Frequent co-authors include Asif Karim, Bharanidharan Shanmugam, Mirjam Jonkman, Friso De Boer, F. M. Javed Mehedi Shamrat, Krishnan Kannoorpatti, Pronab Ghosh, Sidratul Montaha, Abhijith Reddy Beeravolu and Md. Zahid Hasan. Their work appears in journals such as IEEE Access, Intelligent Systems with Applications, Journal of Sensor and Actuator Networks, Biomedicines and Sensors.

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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