Sami Azam

153 papers receiving 3.7k citations

Sami Azam's Hit Papers

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges 2024 · 336 citations
3360+1+3Years since publication100200300

Peers

Sami Azam
Comparison fields: 5 of 166
  • Health Information Management 503
  • Health Informatics 87
  • Artificial Intelligence 1.5k
  • Neurology 312
  • Radiology, Nuclear Medicine and Imaging 696
Replace Farman Ali with:
Farman Ali South Korea
Sweta Bhattacharya India
Mehedi Masud Saudi Arabia
Muhammad Adnan Khan Pakistan
Imran Ashraf South Korea
Gunasekaran Manogaran United States
Ashish Khanna India
S. M. Riazul Islam South Korea
Aditya Khamparia India
Suhuai Luo Australia
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Citations per year

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-authors

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

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
Hit paper breakdown →
2021341
2
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
Hit paper breakdown →
2024336
3 2019155
4 2020126
5 2022115
6
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images
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2023113
7 2021112
8
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images
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2023110
9 2021106
10 202182
11 202179
12 202277
13 202164
14 202262
15 202260
16 201959
17 202359
18 201950
19 202149
20 202146

About Sami Azam

Sami Azam is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 164 papers that have together received 3.9k indexed citations. Recurring topics across this work include AI in cancer detection (23 papers), Advanced Malware Detection Techniques (16 papers), Blockchain Technology Applications and Security (15 papers), Artificial Intelligence in Healthcare (15 papers), COVID-19 diagnosis using AI (14 papers), Radiomics and Machine Learning in Medical Imaging (13 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 (503 citations), Health Informatics (87 citations), Artificial Intelligence (1.5k citations), Neurology (312 citations) and Radiology, Nuclear Medicine and Imaging (696 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, Pronab Ghosh, Krishnan Kannoorpatti, Sidratul Montaha, Abhijith Reddy Beeravolu and Md. Saddam Hossain Mukta. Their work appears in journals such as IEEE Access, Intelligent Systems with Applications, Journal of Sensor and Actuator Networks, Biomedicines and Heliyon.

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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